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Quick Commerce Friction: As Zepto Moves Toward IPO, Delivery Speed Improves — But Strategy Becomes the Next Big Battle

By
Zara Fernandes
-
0
India’s quick commerce industry is entering one of its most defining phases. Delivery times are improving again as gig workers return to major cities, Zepto is moving closer to its highly watched public listing, and Swiggy Instamart is trying to balance growth with profitability. But beneath the recovery in delivery speed lies a deeper question: what is the long-term strategy for winning quick commerce? For years, the sector was judged by one simple promise — deliver faster than everyone else. Ten-minute groceries became a symbol of convenience, scale and urban consumption. But as competition intensifies from Blinkit, Zepto, Swiggy Instamart, Magicpin, Flipkart Minutes, BigBasket and Amazon, speed alone may no longer be enough. The next big battle is strategic clarity. Delivery Times Are Improving, But the Pressure Has Not Gone Away Swiggy and Magicpin said today that delivery times are improving and are expected to normalise as gig workers return to cities after recent state elections and the peak harvest season. Magicpin founder and CEO Anshoo Sharma said the return of delivery riders is improving availability across food delivery platforms, helping reduce delivery delays. This is a short-term operational relief for platforms. Rider availability is the backbone of quick commerce and food delivery. When delivery partners move away from metro cities due to elections, seasonal agricultural work or local events, platforms face longer delivery times, weaker customer experience and higher operational stress. But the recovery in delivery speed does not solve the larger industry challenge. Quick commerce companies are now competing not just on who can deliver fastest, but on who can build a sustainable, profitable and differentiated business model. Zepto’s IPO Push Changes the Conversation Zepto has reportedly received approval from SEBI for its IPO, with the issue size expected to be around ₹8,000–₹9,000 crore, according to Economic Times sources. The company is expected to file an updated draft red herring prospectus in the coming weeks. This IPO is important because Zepto is one of India’s most visible quick commerce startups. It competes directly with Blinkit and Swiggy Instamart in a market estimated at around $10–11.5 billion in gross merchandise value. For Zepto, the IPO will not only test investor appetite for quick commerce but also force deeper scrutiny of its unit economics, dark-store expansion, customer retention, burn rate and long-term profitability path. Public markets may reward growth, but they demand clarity. That clarity is where the quick commerce sector is now under pressure. Blinkit Intensifies the Competitive Heat Blinkit, owned by Eternal, has become one of the strongest forces in India’s quick commerce market. In Eternal’s Q4 FY26 results, Blinkit reported net order value of ₹14,386 crore, up 95% year-on-year, and adjusted EBITDA of ₹37 crore, compared with a negative adjusted EBITDA of ₹178 crore in the same period last year. This matters because Blinkit is not only expanding fast but also showing signs of improving profitability. That creates a serious benchmark for rivals. If Blinkit can grow aggressively while moving toward better economics, competitors will face pressure to prove that they too can scale without depending endlessly on discounts, free deliveries or investor-funded expansion. Swiggy Instamart’s Strategic Shift Swiggy Instamart is taking a more cautious path. Swiggy’s quick commerce division reported strong year-on-year growth, but its gross order value saw a sequential decline in the March quarter, indicating that the company may be prioritising profitability and disciplined expansion over pure volume growth. Swiggy CEO Sriharsha Majety has indicated that the company does not want to “buy growth” through unsustainable spending. Instamart is focusing on differentiated offerings, private labels such as Noice, and contribution-margin-positive categories. This is a crucial strategic move. In quick commerce, the cost structure is heavy. Dark stores, inventory, delivery partners, technology, warehousing, returns, discounts and customer acquisition all require constant capital. A company may win orders but still lose money if each order does not move toward profitable economics. Swiggy’s challenge is to convince investors that slower, more disciplined growth can eventually create a stronger business. Magicpin’s Role in the Changing Market Magicpin is not usually discussed in the same category as Blinkit, Zepto and Instamart, but it plays an important role in India’s broader hyperlocal commerce ecosystem. Its comments on improving delivery times show how dependent the sector remains on rider availability and city-level operational stability. Magicpin’s strength lies in its hyperlocal network, merchant relationships and value-led positioning. As quick commerce matures, platforms like Magicpin may benefit from consumers looking for affordability, local discovery and merchant-driven commerce rather than only ultra-fast delivery. The Real Friction: Speed vs Sustainability The quick commerce sector is now facing a strategic friction point. On one side is the consumer expectation of instant delivery. Urban customers have become used to receiving groceries, snacks, personal care items, electronics accessories and household essentials within minutes. On the other side is the financial reality. Fast delivery requires dense dark-store networks, high inventory availability, efficient routing, enough delivery partners and strong demand concentration. These conditions work best in dense urban pockets. They become harder to manage in smaller cities, low-density areas and low-ticket orders. This means the sector cannot rely forever on speed as the only selling point. The winners will likely be those who answer five strategic questions clearly: Can they improve profitability without losing customers? Can they expand beyond top metro cities without hurting unit economics? Can they build private labels and higher-margin categories? Can they reduce dependence on discount-led growth? Can they create brand loyalty in a market where customers switch apps easily? What This Means for Founders and Investors For founders, the quick commerce story offers a powerful lesson: growth is exciting, but clarity is more valuable. Zepto’s IPO journey will show whether public markets are ready to back a high-growth quick commerce startup at scale. Swiggy Instamart’s strategy will test whether disciplined growth can compete against aggressive expansion. Blinkit’s performance will continue to set the benchmark for execution, profitability and market leadership. For investors, the sector remains attractive but complex. India’s quick commerce market is still growing, and consumer behaviour has clearly shifted toward convenience. However, the next phase will not be about who delivers in 10 minutes. It will be about who can deliver value, reliability and profitability at scale. The Road Ahead Quick commerce in India is no longer a startup experiment. It has become a mainstream consumer habit and a major battleground for some of the country’s biggest digital commerce companies. But the industry’s future will not be decided only by delivery speed. It will be decided by operational discipline, category strategy, dark-store efficiency, private-label strength, customer trust and capital efficiency. As Zepto moves toward an IPO, Swiggy Instamart sharpens its profitability focus, Magicpin watches delivery normalisation, and Blinkit intensifies competition, India’s quick commerce sector is entering a new era. The first battle was speed. The next battle is strategy. And the companies with the clearest strategy may define the future of Indian retail.
India’s quick commerce industry is entering one of its most defining phases. Delivery times are improving again as gig workers return to major cities, Zepto is moving closer to its highly watched public listing, and Swiggy Instamart is trying to balance growth with profitability. But beneath the recovery in delivery speed lies a deeper question: what is the long-term strategy for winning quick commerce? For years, the sector was judged by one simple promise — deliver faster than everyone else. Ten-minute groceries became a symbol of convenience, scale and urban consumption. But as competition intensifies from Blinkit, Zepto, Swiggy Instamart, Magicpin, Flipkart Minutes, BigBasket and Amazon, speed alone may no longer be enough. The next big battle is strategic clarity. Delivery Times Are Improving, But the Pressure Has Not Gone Away Swiggy and Magicpin said today that delivery times are improving and are expected to normalise as gig workers return to cities after recent state elections and the peak harvest season. Magicpin founder and CEO Anshoo Sharma said the return of delivery riders is improving availability across food delivery platforms, helping reduce delivery delays. This is a short-term operational relief for platforms. Rider availability is the backbone of quick commerce and food delivery. When delivery partners move away from metro cities due to elections, seasonal agricultural work or local events, platforms face longer delivery times, weaker customer experience and higher operational stress. But the recovery in delivery speed does not solve the larger industry challenge. Quick commerce companies are now competing not just on who can deliver fastest, but on who can build a sustainable, profitable and differentiated business model. Zepto’s IPO Push Changes the Conversation Zepto has reportedly received approval from SEBI for its IPO, with the issue size expected to be around ₹8,000–₹9,000 crore, according to Economic Times sources. The company is expected to file an updated draft red herring prospectus in the coming weeks. This IPO is important because Zepto is one of India’s most visible quick commerce startups. It competes directly with Blinkit and Swiggy Instamart in a market estimated at around $10–11.5 billion in gross merchandise value. For Zepto, the IPO will not only test investor appetite for quick commerce but also force deeper scrutiny of its unit economics, dark-store expansion, customer retention, burn rate and long-term profitability path. Public markets may reward growth, but they demand clarity. That clarity is where the quick commerce sector is now under pressure. Blinkit Intensifies the Competitive Heat Blinkit, owned by Eternal, has become one of the strongest forces in India’s quick commerce market. In Eternal’s Q4 FY26 results, Blinkit reported net order value of ₹14,386 crore, up 95% year-on-year, and adjusted EBITDA of ₹37 crore, compared with a negative adjusted EBITDA of ₹178 crore in the same period last year. This matters because Blinkit is not only expanding fast but also showing signs of improving profitability. That creates a serious benchmark for rivals. If Blinkit can grow aggressively while moving toward better economics, competitors will face pressure to prove that they too can scale without depending endlessly on discounts, free deliveries or investor-funded expansion. Swiggy Instamart’s Strategic Shift Swiggy Instamart is taking a more cautious path. Swiggy’s quick commerce division reported strong year-on-year growth, but its gross order value saw a sequential decline in the March quarter, indicating that the company may be prioritising profitability and disciplined expansion over pure volume growth. Swiggy CEO Sriharsha Majety has indicated that the company does not want to “buy growth” through unsustainable spending. Instamart is focusing on differentiated offerings, private labels such as Noice, and contribution-margin-positive categories. This is a crucial strategic move. In quick commerce, the cost structure is heavy. Dark stores, inventory, delivery partners, technology, warehousing, returns, discounts and customer acquisition all require constant capital. A company may win orders but still lose money if each order does not move toward profitable economics. Swiggy’s challenge is to convince investors that slower, more disciplined growth can eventually create a stronger business. Magicpin’s Role in the Changing Market Magicpin is not usually discussed in the same category as Blinkit, Zepto and Instamart, but it plays an important role in India’s broader hyperlocal commerce ecosystem. Its comments on improving delivery times show how dependent the sector remains on rider availability and city-level operational stability. Magicpin’s strength lies in its hyperlocal network, merchant relationships and value-led positioning. As quick commerce matures, platforms like Magicpin may benefit from consumers looking for affordability, local discovery and merchant-driven commerce rather than only ultra-fast delivery. The Real Friction: Speed vs Sustainability The quick commerce sector is now facing a strategic friction point. On one side is the consumer expectation of instant delivery. Urban customers have become used to receiving groceries, snacks, personal care items, electronics accessories and household essentials within minutes. On the other side is the financial reality. Fast delivery requires dense dark-store networks, high inventory availability, efficient routing, enough delivery partners and strong demand concentration. These conditions work best in dense urban pockets. They become harder to manage in smaller cities, low-density areas and low-ticket orders. This means the sector cannot rely forever on speed as the only selling point. The winners will likely be those who answer five strategic questions clearly: Can they improve profitability without losing customers? Can they expand beyond top metro cities without hurting unit economics? Can they build private labels and higher-margin categories? Can they reduce dependence on discount-led growth? Can they create brand loyalty in a market where customers switch apps easily? What This Means for Founders and Investors For founders, the quick commerce story offers a powerful lesson: growth is exciting, but clarity is more valuable. Zepto’s IPO journey will show whether public markets are ready to back a high-growth quick commerce startup at scale. Swiggy Instamart’s strategy will test whether disciplined growth can compete against aggressive expansion. Blinkit’s performance will continue to set the benchmark for execution, profitability and market leadership. For investors, the sector remains attractive but complex. India’s quick commerce market is still growing, and consumer behaviour has clearly shifted toward convenience. However, the next phase will not be about who delivers in 10 minutes. It will be about who can deliver value, reliability and profitability at scale. The Road Ahead Quick commerce in India is no longer a startup experiment. It has become a mainstream consumer habit and a major battleground for some of the country’s biggest digital commerce companies. But the industry’s future will not be decided only by delivery speed. It will be decided by operational discipline, category strategy, dark-store efficiency, private-label strength, customer trust and capital efficiency. As Zepto moves toward an IPO, Swiggy Instamart sharpens its profitability focus, Magicpin watches delivery normalisation, and Blinkit intensifies competition, India’s quick commerce sector is entering a new era. The first battle was speed. The next battle is strategy. And the companies with the clearest strategy may define the future of Indian retail.

India’s quick commerce industry is entering one of its most defining phases. Delivery times are improving again as gig workers return to major cities, Zepto is moving closer to its highly watched public listing, and Swiggy Instamart is trying to balance growth with profitability. But beneath the recovery in delivery speed lies a deeper question: what is the long-term strategy for winning quick commerce?

For years, the sector was judged by one simple promise — deliver faster than everyone else. Ten-minute groceries became a symbol of convenience, scale and urban consumption. But as competition intensifies from Blinkit, Zepto, Swiggy Instamart, Magicpin, Flipkart Minutes, BigBasket and Amazon, speed alone may no longer be enough.

The next big battle is strategic clarity.

Delivery Times Are Improving, But the Pressure Has Not Gone Away

Swiggy and Magicpin said today that delivery times are improving and are expected to normalise as gig workers return to cities after recent state elections and the peak harvest season. Magicpin founder and CEO Anshoo Sharma said the return of delivery riders is improving availability across food delivery platforms, helping reduce delivery delays.

This is a short-term operational relief for platforms. Rider availability is the backbone of quick commerce and food delivery. When delivery partners move away from metro cities due to elections, seasonal agricultural work or local events, platforms face longer delivery times, weaker customer experience and higher operational stress.

But the recovery in delivery speed does not solve the larger industry challenge. Quick commerce companies are now competing not just on who can deliver fastest, but on who can build a sustainable, profitable and differentiated business model.

Zepto’s IPO Push Changes the Conversation

Zepto has reportedly received approval from SEBI for its IPO, with the issue size expected to be around ₹8,000–₹9,000 crore, according to Economic Times sources. The company is expected to file an updated draft red herring prospectus in the coming weeks.

This IPO is important because Zepto is one of India’s most visible quick commerce startups. It competes directly with Blinkit and Swiggy Instamart in a market estimated at around $10–11.5 billion in gross merchandise value.

For Zepto, the IPO will not only test investor appetite for quick commerce but also force deeper scrutiny of its unit economics, dark-store expansion, customer retention, burn rate and long-term profitability path. Public markets may reward growth, but they demand clarity.

That clarity is where the quick commerce sector is now under pressure.

Blinkit Intensifies the Competitive Heat

Blinkit, owned by Eternal, has become one of the strongest forces in India’s quick commerce market. In Eternal’s Q4 FY26 results, Blinkit reported net order value of ₹14,386 crore, up 95% year-on-year, and adjusted EBITDA of ₹37 crore, compared with a negative adjusted EBITDA of ₹178 crore in the same period last year.

This matters because Blinkit is not only expanding fast but also showing signs of improving profitability. That creates a serious benchmark for rivals.

If Blinkit can grow aggressively while moving toward better economics, competitors will face pressure to prove that they too can scale without depending endlessly on discounts, free deliveries or investor-funded expansion.

Swiggy Instamart’s Strategic Shift

Swiggy Instamart is taking a more cautious path. Swiggy’s quick commerce division reported strong year-on-year growth, but its gross order value saw a sequential decline in the March quarter, indicating that the company may be prioritising profitability and disciplined expansion over pure volume growth.

Swiggy CEO Sriharsha Majety has indicated that the company does not want to “buy growth” through unsustainable spending. Instamart is focusing on differentiated offerings, private labels such as Noice, and contribution-margin-positive categories.

This is a crucial strategic move. In quick commerce, the cost structure is heavy. Dark stores, inventory, delivery partners, technology, warehousing, returns, discounts and customer acquisition all require constant capital. A company may win orders but still lose money if each order does not move toward profitable economics.

Swiggy’s challenge is to convince investors that slower, more disciplined growth can eventually create a stronger business.

Magicpin’s Role in the Changing Market

Magicpin is not usually discussed in the same category as Blinkit, Zepto and Instamart, but it plays an important role in India’s broader hyperlocal commerce ecosystem. Its comments on improving delivery times show how dependent the sector remains on rider availability and city-level operational stability.

Magicpin’s strength lies in its hyperlocal network, merchant relationships and value-led positioning. As quick commerce matures, platforms like Magicpin may benefit from consumers looking for affordability, local discovery and merchant-driven commerce rather than only ultra-fast delivery.

The Real Friction: Speed vs Sustainability

The quick commerce sector is now facing a strategic friction point.

On one side is the consumer expectation of instant delivery. Urban customers have become used to receiving groceries, snacks, personal care items, electronics accessories and household essentials within minutes.

On the other side is the financial reality. Fast delivery requires dense dark-store networks, high inventory availability, efficient routing, enough delivery partners and strong demand concentration. These conditions work best in dense urban pockets. They become harder to manage in smaller cities, low-density areas and low-ticket orders.

This means the sector cannot rely forever on speed as the only selling point.

The winners will likely be those who answer five strategic questions clearly:

  1. Can they improve profitability without losing customers?
  2. Can they expand beyond top metro cities without hurting unit economics?
  3. Can they build private labels and higher-margin categories?
  4. Can they reduce dependence on discount-led growth?
  5. Can they create brand loyalty in a market where customers switch apps easily?

What This Means for Founders and Investors

For founders, the quick commerce story offers a powerful lesson: growth is exciting, but clarity is more valuable.

Zepto’s IPO journey will show whether public markets are ready to back a high-growth quick commerce startup at scale. Swiggy Instamart’s strategy will test whether disciplined growth can compete against aggressive expansion. Blinkit’s performance will continue to set the benchmark for execution, profitability and market leadership.

For investors, the sector remains attractive but complex. India’s quick commerce market is still growing, and consumer behaviour has clearly shifted toward convenience. However, the next phase will not be about who delivers in 10 minutes. It will be about who can deliver value, reliability and profitability at scale.

The Road Ahead

Quick commerce in India is no longer a startup experiment. It has become a mainstream consumer habit and a major battleground for some of the country’s biggest digital commerce companies.

But the industry’s future will not be decided only by delivery speed. It will be decided by operational discipline, category strategy, dark-store efficiency, private-label strength, customer trust and capital efficiency.

As Zepto moves toward an IPO, Swiggy Instamart sharpens its profitability focus, Magicpin watches delivery normalisation, and Blinkit intensifies competition, India’s quick commerce sector is entering a new era.

The first battle was speed.

The next battle is strategy.

And the companies with the clearest strategy may define the future of Indian retail.

Aman Goel’s Bold Bet: From an $8,000/Month Rubrik Internship to Building GreyLabsAI in India

By
Megha Sharma
-
0
Aman Goel

In a startup ecosystem where many young Indian technologists dream of building careers in Silicon Valley, Aman Goel’s story stands out as a powerful reminder that sometimes the biggest opportunity lies back home.

Aman Goel, an IIT Bombay alumnus and co-founder of GreyLabsAI, is trending after sharing his journey of leaving an $8,000-a-month internship at Rubrik in the United States to return to India and build companies from the ground up. His story has caught widespread attention because it is not just about walking away from a lucrative opportunity. It is about clarity, conviction, and the courage to bet on oneself.

The Silicon Valley Moment That Changed Everything

Goel was around 20 when he landed in San Francisco for a software engineering internship at Rubrik, a fast-growing cloud data management company. For many students, such an opportunity would represent the beginning of a dream career in the US tech ecosystem.

But for Goel, the experience became something deeper. It exposed him to high-growth technology culture, sharp engineering teams, product thinking, and the speed at which ambitious startups operate. Instead of convincing him to stay in the Bay Area, the experience gave him clarity that he wanted to build something of his own in India.

In his own reflection, Goel described the journey as one that began with “a summer in Palo Alto, a great mentor, and the courage to come back home and bet on myself.”

From Engineer to Entrepreneur

After returning to India, Goel began shifting his focus from pure engineering to business building. He has shared that engineering was never his constraint; instead, building companies became his obsession. That mindset would later define his entrepreneurial path.

His first major venture was Cogno AI, a company he co-founded and bootstrapped past $1 million in revenue before it was acquired. For a young founder, this was an important validation: India was not just a market to experiment in, but a serious place to build scalable technology businesses.

Building GreyLabsAI for India’s BFSI Sector

After Cogno AI, Aman Goel started again with GreyLabsAI, a company focused on voice AI and contact centre automation for the financial services sector. According to his LinkedIn profile, GreyLabsAI helps banks, NBFCs, insurers, brokers, and fintech companies automate customer interactions using voice AI agents across sales, support, collections, and analytics.

Founded in 2023 by Aman Goel and Harshita Srivastava, GreyLabsAI has positioned itself in one of India’s most promising AI segments: BFSI automation. The company offers speech analytics and voice AI solutions designed for customer conversations across sales, collections, and support operations.

The ₹100 Crore Milestone

What has made Goel’s journey even more viral is GreyLabsAI’s rapid growth. Public reports and Goel’s own posts indicate that GreyLabsAI raised nearly ₹100 crore in capital from respected venture funds, including Z47, formerly Matrix Partners India, and Elevation Capital.

In October 2025, YourStory reported that GreyLabsAI raised ₹85 crore in a Series A round led by Elevation Capital, with participation from existing investor Z47 and angel investors. The round reportedly marked a 3.3X valuation jump from its previous round.

This funding milestone has turned GreyLabsAI into one of the closely watched Indian AI startups building for enterprise customers, especially in the financial services industry.

Why Aman Goel’s Story Matters

Aman Goel’s journey resonates because it challenges a common belief: that the best tech opportunities are always abroad. His story shows a different path.

He went to Silicon Valley, learned from its startup culture, understood what world-class execution looked like, and then chose to return to India. Instead of treating India as a fallback, he treated it as the frontier.

That is the real lesson for today’s founders.

The new generation of Indian entrepreneurs is not just copying global business models. They are building for Indian complexity, Indian customers, Indian languages, Indian financial systems, and Indian scale. GreyLabsAI’s focus on BFSI voice AI reflects this shift.

Lessons for Young Founders

Aman Goel’s journey offers several important lessons for entrepreneurs:

1. Exposure matters, but direction matters more.
His Rubrik internship gave him exposure to Silicon Valley, but his long-term direction was shaped by the desire to build in India.

2. Business building is a skill.
Goel’s shift from engineering to entrepreneurship shows that technical talent becomes more powerful when combined with product, market, sales, and execution thinking.

3. India is a serious startup market.
GreyLabsAI’s growth proves that Indian enterprise problems can create large, venture-scale companies.

4. Focus wins.
GreyLabsAI has focused deeply on BFSI instead of spreading itself across too many industries. That focus helped the company build sector-specific value.

5. Courage compounds over time.
Leaving an $8,000/month internship may look risky in the short term. But Goel’s decade-long journey shows how bold decisions can compound into extraordinary outcomes.

The Bigger Picture

Aman Goel’s story is more than a viral founder post. It represents the confidence of modern Indian entrepreneurship.

India is now producing founders who are globally exposed but locally committed. They understand world-class technology, but they also understand Indian markets deeply. They are not returning because they have fewer options. They are returning because they see bigger opportunities.

From Rubrik intern to Cogno AI co-founder to GreyLabsAI builder, Aman Goel’s journey is a powerful reminder that the founder path is rarely linear. It is built through decisions that may look uncertain at the time but become defining chapters later.

For India’s startup ecosystem, his story carries a clear message: the next generation of category-defining AI companies can be built from India, for India, and eventually for the world.

Aman Goel did not just leave an internship. He chose a mission. And that mission is now becoming one of India’s most talked-about AI startup stories.

Aman Goel’s decision to leave a high-paying US internship and return to India was not just a career move. It was a founder’s bet.

Today, with GreyLabsAI gaining momentum and attracting significant investor backing, that bet is becoming an inspiration for thousands of young entrepreneurs.

His journey proves that success does not always come from choosing the safest path. Sometimes, it comes from walking away from comfort, returning home, and building with conviction.

Redwood Materials Secures $425M Series E as Google Joins Strategic Investor Roster

By
Zara Fernandes
-
0
Redwood Materials
Redwood Materials

Redwood Materials, the rapidly rising battery recycling and materials manufacturing company founded by Tesla co-founder JB Straubel, has officially closed its $425 million Series E funding round. The round introduces Google as a significant new strategic investor alongside NVIDIA’s NVentures, underscoring a powerful connection between the energy transition and the exponential rise of artificial intelligence.

This funding event marks a major milestone—not just for Redwood Materials, but for the broader battery, EV, clean energy, and AI ecosystems. As pressure intensifies on the global electricity grid from electrification and AI megaprojects, the alignment between energy storage companies and tech giants signals a new era of strategic collaboration.

Below is an in-depth look at why this round matters, how Redwood Materials is positioned in the global battery supply chain, and what Google and NVIDIA’s involvement reveals about the future of AI infrastructure and sustainable energy.

Redwood Materials at a Glance: Building America’s Circular Battery Supply Chain

Founded in 2017 by JB Straubel—Tesla’s longtime CTO—Redwood Materials set out to tackle one of the most overlooked challenges in the energy transition:

➡ Where will all the critical battery materials come from?
➡ How can the U.S. reduce dependence on foreign suppliers?
➡ How do we solve the end-of-life problem for EV and consumer electronics batteries?

While traditional mining remains essential, Straubel realized that a truly sustainable electrification strategy required a closed-loop ecosystem, where lithium, nickel, cobalt, and copper could be continually recycled from end-of-life batteries and manufacturing scrap.

Today, Redwood Materials:

  • Operates one of the largest battery recycling facilities in North America
  • Processes gigawatt-hour scale scrap from EV makers and battery manufacturers
  • Extracts critical materials and remanufactures them into battery-grade products
  • Supplies U.S. EV manufacturers with sustainable, domestic materials
  • Is building new facilities to produce cathode active material (CAM) and anode copper foil, the most expensive parts of a lithium-ion battery

In short, Redwood is becoming a full-stack domestic battery materials supplier, combining recycling, refining, and manufacturing under one roof.

This vertically integrated model is rare—and extremely valuable—as demand for batteries surges across EVs, grid storage, and AI-driven data centers.

A $425 Million Series E: Why This Funding Round Is Pivotal

Redwood’s $425M Series E is among the most significant late-stage clean-tech raises in recent years, reaffirming investor confidence in both:

  1. The circular battery economy, and
  2. The U.S. domestic materials supply chain

Notably, the round is not only about capital—it’s about strategic alignment. Google’s entry and NVIDIA’s continued participation through NVentures signal a deepening connection between energy storage and AI infrastructure.

Where the new capital will go

Redwood Materials stated that it plans to use the new funds to:

  • Scale its domestic battery materials production, particularly CAM and copper foil
  • Expand recycling operations to handle larger volumes of EV batteries
  • Invest in U.S.-based refining capacity for lithium, nickel, and cobalt
  • Accelerate new long-term supply contracts with automakers and cell manufacturers
  • Build new facilities supporting 100 GWh+ annual output

The U.S. market is entering a phase where automakers need massive quantities of battery materials—far more than existing domestic supplies can provide. Redwood’s expansion directly supports the national effort to localize the battery supply chain.

Why Google Joined Redwood Materials’ Series E

Google’s participation is one of the most important signals of the round.

At first glance, the connection between a search engine giant and a battery materials company may not seem obvious. But in reality, few companies face greater pressure from the global energy crisis than Google.

AI Data Centers Are Becoming One of the Largest Energy Consumers in the World

The rise of generative AI has fundamentally changed Google’s power needs.

  • Training a single large AI model can consume millions of kilowatt-hours
  • Data centers powering AI inference must run 24/7 at extremely high loads
  • GPU clusters require uninterrupted, stable electricity, often from renewable sources

Google recently reported that AI workloads are pushing its electricity usage dramatically higher. As AI expands across search, cloud computing, and enterprise tools, the company is experiencing:

  • Soaring energy demand
  • Increasing grid instability risks
  • Growing dependence on battery-backed renewable energy

Why Google Needs Redwood Materials

By investing in Redwood Materials, Google advances several strategic goals:

  1. Secure access to cost-effective, long-duration battery storage
  2. Support the expansion of domestic battery manufacturing
  3. Reduce the carbon footprint of its data centers
  4. Partner with a company capable of supplying materials for large-scale energy storage systems

Google has committed to operating all its data centers on 24/7 carbon-free energy—a far more difficult target than simply offsetting with renewables. Achieving that means installing massive amounts of battery storage near its energy-intensive AI facilities.

Redwood’s recycled, U.S.-made materials could power precisely those systems.

NVIDIA’s NVentures: Reinforcing the AI–Energy Feedback Loop

NVIDIA’s participation is equally telling. As the global leader in GPUs, NVIDIA sits at the very center of the AI explosion.

Every wave of demand for NVIDIA chips triggers a corresponding surge in:

  • Data center construction
  • Power usage
  • Renewable energy procurement
  • Battery storage needs

As GPU clusters scale into the tens of thousands of units, the energy footprint becomes enormous.

AI scaling = energy scaling

The math is simple:

  • More GPUs → exponentially more power
  • More power → exponentially more grid stress
  • Grid stress → exponential need for energy storage
  • Energy storage → exponential need for batteries
  • Batteries → exponential need for lithium, nickel, and cobalt

By backing Redwood Materials, NVIDIA is supporting the upstream resources required to keep AI infrastructure growing.

The Clean Energy Trifecta: EVs, Grid Storage, and AI

Redwood Materials sits at a critical intersection of three fast-expanding industries:

1. Electric Vehicles (EVs)

Automakers including Toyota, Ford, and Tesla are scaling U.S. battery production dramatically. Each EV requires 50–100 kWh of battery capacity, and the materials inside those batteries account for almost half the total cost.

2. Grid-Scale Energy Storage

Renewable energy is growing, but solar and wind are intermittent. Utility companies are deploying enormous battery banks—many of them using chemistries that rely on materials Redwood can supply or recycle.

3. AI and Data Centers

Hyperscalers like Google, Amazon, Microsoft, and NVIDIA consume staggering amounts of electricity. As AI demand grows, these companies need reliable storage more than ever.

Redwood effectively provides the raw materials needed for all three of these megatrends.

The U.S. Battery Supply Chain Challenge—and Redwood’s Solution

For decades, the U.S. has relied heavily on foreign countries—especially China—for battery materials and manufacturing.

This creates vulnerabilities:

  • Geopolitical risk
  • Transportation delays
  • Cost volatility
  • Environmental concerns
  • National security implications

Redwood Materials aims to change that by creating a localized, circular supply chain that is:

  • More sustainable
  • More resilient
  • More affordable
  • More secure

How Redwood’s closed-loop system works

  1. Collect batteries from EVs, consumer electronics, and manufacturing scrap
  2. Recycle to extract lithium, nickel, cobalt, copper
  3. Refine materials back to battery-grade purity
  4. Remanufacture into CAM and copper foil
  5. Supply to domestic cell factories
  6. Repeat once batteries reach end-of-life

This loop reduces the environmental footprint and lowers long-term material costs.

Why This Series E Signals a New Era for Clean Tech Funding

Clean-tech investment has historically been cyclical, with periods of high enthusiasm followed by downturns. But Redwood Materials is proving that:

  • Battery recycling is not a niche—it is infrastructural.
  • Domestic materials production is a national priority.
  • AI companies are now major players in the energy sector.

Google and NVIDIA joining this round marks a new phase where tech giants no longer just consume energy—they invest upstream to secure it.

What’s Next for Redwood Materials?

Following this raise, Redwood is positioned to:

  • Expand its Nevada and South Carolina campuses
  • Increase recycled material output dramatically
  • Grow partnerships with automakers and battery manufacturers
  • Support utility-scale storage deployment
  • Further integrate AI-driven automation into material processing
  • Potentially explore international expansion

Redwood’s ultimate goal is ambitious but clear:

Become one of the world’s largest producers of sustainable battery materials.

And with strategic support from tech giants who depend on stable energy, the company is better positioned than ever to scale.

Why Redwood’s Series E Matters for the Future of Energy and AI

Redwood Materials’ $425 million Series E is more than a funding milestone—it’s a strategic realignment of some of the world’s most influential industries.

  • AI needs clean, reliable power.
  • Clean power needs large-scale energy storage.
  • Energy storage needs sustainable battery materials.
  • And Redwood Materials is building exactly that supply chain.

With Google joining as a new strategic investor and NVIDIA reinforcing its support, this round represents a growing recognition that the future of AI and the future of energy are now inseparable.

Redwood Materials is no longer just a battery recycling company—it is becoming a cornerstone of America’s clean energy and AI infrastructure.

Mukund Jha of Emergent: The CEO Redefining Who Gets to Build Software

By
Zara Fernandes
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0
The CEO Redefining Who Gets to Build Software
The CEO Redefining Who Gets to Build Software

In the fast-moving world of artificial intelligence, where innovation often feels reserved for elite engineering teams, Mukund Jha is quietly rewriting the rules. As the CEO of Emergent, one of the fastest-growing AI companies in recent history, Jha is leading a movement that challenges a decades-old assumption: that building software must require deep technical expertise.

Instead, his vision is simple yet radical — anyone with an idea should be able to create software.

And that vision is rapidly becoming reality.

From Code-Dependent to Idea-Driven

For years, the software industry has been constrained by complexity. Founders with strong ideas were forced to rely on developers. Businesses waited months for products to ship. Innovation slowed under layers of technical dependency.

Mukund Jha saw this gap clearly.

At Emergent, he set out to eliminate the friction between ideas and execution. The result is an AI-native platform that allows non-developers — founders, operators, marketers, and domain experts — to build functional, scalable software using natural language and intelligent automation.

In Jha’s world, ideas move faster than code.

Emergent’s Breakout Moment

Emergent’s rise has been anything but ordinary.

In a short span of time, the company has earned recognition as one of the fastest-scaling AI platforms, driven by explosive adoption and a clear product-market fit. What sets Emergent apart is not just growth, but who is using it.

From solo founders building MVPs to enterprises accelerating internal tools, Emergent’s user base reflects a growing appetite for AI-assisted creation without technical barriers.

Under Jha’s leadership, Emergent isn’t positioned as a “no-code tool.” It’s positioned as a new way of thinking about software itself.

Democratizing Software Creation

At the heart of Mukund Jha’s leadership philosophy is democratization.

Traditional development models are expensive, slow, and exclusive. Emergent flips that model by allowing users to:

  • Describe applications in plain language
  • Automatically generate workflows and logic
  • Iterate and scale without writing code
  • Launch products in days instead of months

This shift empowers people who were previously locked out of software creation — a move Jha believes is essential for the next wave of global innovation.

A CEO with Product at the Core

What makes Mukund Jha stand out among today’s AI leaders is his product-first mindset.

Rather than chasing hype, he focuses on usability, clarity, and real-world outcomes. Emergent’s design philosophy reflects this approach: intuitive interfaces, fast feedback loops, and AI that feels collaborative rather than overwhelming.

Colleagues often describe Jha as a leader who blends strategic vision with execution discipline, ensuring that innovation remains practical and accessible.

Why Founders Are Paying Attention

Emergent’s rapid adoption has made Mukund Jha a name to watch among founders and operators worldwide.

The reason is clear:

  • Startups can validate ideas without large tech teams
  • Businesses can automate workflows instantly
  • Creators can build tools tailored to niche problems

In an era where speed defines success, Emergent offers a powerful advantage — and Jha’s leadership ensures the platform continues to evolve alongside its users.

Shaping the Future of AI and SaaS

Mukund Jha’s impact extends beyond one company.

By enabling non-developers to build software, he is influencing:

  • The evolution of no-code and low-code ecosystems
  • The role of developers as system architects rather than builders
  • Faster digital adoption in emerging markets
  • A more inclusive global tech economy

His work suggests a future where software creation becomes as accessible as content creation.

What’s Next for Mukund Jha and Emergent?

As AI continues to mature, Emergent is positioned to play a defining role in how businesses and individuals interact with technology. With Mukund Jha at the helm, the company’s trajectory points toward deeper AI integration, broader enterprise adoption, and an expanding creator-led ecosystem.

For Jha, the mission remains unchanged:

Lower the barrier to creation, and innovation will follow.

Final Word

Mukund Jha is not just building a fast-growing AI company — he is reshaping who gets to participate in the software economy.

As Emergent continues its ascent, one thing is certain: the future of software will be written by more people than ever before, and Mukund Jha is helping lead the way.

Business Code for Lyft Drivers: Complete Guide to NAICS Codes, Tax Classification, and Filing Tips

By
Zara Fernandes
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0
Business Code for Lyft Drivers
Business Code for Lyft Drivers

Focus keyword: business code for lyft

If you drive for Lyft or plan to start a rideshare business, you’ve probably encountered the term “business activity code” or “NAICS code” when filing taxes or registering your business. Choosing the correct code might seem minor, but it can significantly affect your tax reporting accuracy, deduction eligibility, and compliance with IRS rules.

This detailed guide explains exactly which business code Lyft drivers should use, why it matters, and how to apply it when filing your Schedule C or business taxes.

What Is a Business Activity or NAICS Code?

A business activity code (also known as a NAICS code, short for North American Industry Classification System) identifies the type of work your business performs. The IRS uses this six-digit code to categorize industries and analyze tax data.

When you file a Schedule C (Profit or Loss From Business) as a Lyft driver or independent contractor, you’re asked to provide this code to describe your “principal business activity.”

Using the correct code helps the IRS understand:

  • What kind of business you run
  • What expenses are typical for your industry
  • How to group your tax data with similar businesses

For rideshare drivers, the correct classification ensures your vehicle expenses, mileage, and maintenance deductions make sense within your industry group.

What Is the Correct Business Code for Lyft Drivers?

Lyft drivers are typically classified under NAICS 485300 – “Taxi and Limousine Service”.
This code covers businesses that transport passengers for hire using automobiles — whether you operate through Lyft, Uber, or your own private rideshare service.

However, as the gig economy has evolved, some databases have added a more specific subcategory:

  • NAICS 485310 – Taxi and Ridesharing Services
    This code directly includes rideshare operations such as Lyft, Uber, and other app-based passenger transport services.

✅ Recommended Codes for Lyft Drivers

CodeDescriptionWhen to Use
485300Taxi & Limousine ServiceMost Lyft drivers transporting passengers
485310Taxi and Ridesharing ServicesBest fit for app-based passenger transport
492000Couriers & MessengersFor delivery-only drivers (not passengers)

???? If you mainly drive passengers using Lyft, 485300 or 485310 is your best choice.
If you also do food or parcel delivery (like Uber Eats or DoorDash), consider 492000 for those earnings.

???? Why Choosing the Right Business Code Matters

Many new Lyft drivers overlook this step — but your business code impacts several important areas:

1. Tax Accuracy

Using a code that matches your work ensures your income and expenses align correctly with IRS expectations. A mismatch could raise red flags or delay processing.

2. Deduction Legitimacy

Common deductions like mileage, gas, car maintenance, tolls, and insurance are normal for drivers under code 485300. Choosing an unrelated code (like retail or freelance design) can cause issues.

3. Audit Protection

If your code doesn’t fit your expenses, the IRS might scrutinize your returns more closely. Picking the right code helps reduce that risk.

4. Business Classification & Licensing

If you register as an LLC or file for a local business license, your code determines your industry type — which can influence regulations, insurance, and reporting obligations.

???? How to Find and Apply the Business Code for Lyft

Follow these simple steps to select and apply the right code on your tax forms:

Step 1. Identify Your Main Business Activity

Ask yourself: What earns me the majority of my income?
If it’s driving passengers for Lyft, then 485300 or 485310 applies. If you mostly deliver packages, use 492000.

Step 2. Look Up the Official NAICS Description

Visit the official NAICS website (www.naics.com/search) and search “rideshare,” “taxi,” or “transportation.” You’ll find the relevant category description.

Step 3. Use the Code on Your Schedule C

When completing your Schedule C, list your business name (e.g., “Your Name – Lyft Driver”) and input NAICS 485300 in the box for “Principal business or professional activity code.”

Step 4. Keep Your Records Organized

Track all your income and expenses using apps like Everlance, QuickBooks Self-Employed, or Stride. They also suggest the correct code automatically.

Step 5. Update If Your Work Changes

If you shift from ridesharing to deliveries, or vice versa, update your business code next tax year to reflect your new activity.

???? Tax and Expense Tips for Lyft Drivers

To make the most of your tax deductions and stay compliant:

  • Track mileage daily — the standard deduction for 2025 is 67 ¢ per mile (IRS 2025 rate).
  • Save receipts for maintenance, fuel, car washes, and mobile phone plans.
  • Deduct Lyft fees and commissions as business expenses.
  • Consider forming an LLC if you earn consistently — it can add liability protection and potential tax advantages.
  • Use accounting software or a CPA familiar with gig economy taxes.

These practices strengthen your deductions and prove your business legitimacy in case of audits.

❓Frequently Asked Questions (FAQs)

What is the business code for Lyft drivers on Schedule C?

The correct code is 485300 – Taxi and Limousine Service or 485310 – Taxi and Ridesharing Services.

What if I do both Lyft and Uber?

You can use the same code (485300 / 485310) for both since they fall under the same business classification.

Does the business code affect my tax rate?

Not directly. Your tax rate depends on your net income, not your NAICS code. The code only affects classification and data reporting.

Can I use a different code if I deliver food?

Yes. If you primarily deliver food or goods, you can use 492000 – Couriers and Messengers.

Can I change my code next year?

Absolutely. If your main source of income shifts, simply update the code on your next return.

???? Final Thoughts

Choosing the right business code for Lyft is a simple but crucial part of running your rideshare business professionally.
For most Lyft drivers, NAICS 485300 (Taxi & Limousine Service) or 485310 (Taxi and Ridesharing Services) is the best choice.

Using the proper code helps:

  • Keep your taxes accurate
  • Support your deduction claims
  • Protect you from unnecessary audit risks
  • Establish your business identity correctly

Whether you’re part-time or full-time, treating your Lyft work as a real business begins with using the right classification.

Mind–Machine Interfaces: The Future of Neural Interaction and Human Augmentation

By
Zara Fernandes
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0
Mind–Machine Interfaces
Mind–Machine Interfaces

Mind–Machine Interfaces (MMIs), also known as Brain–Machine Interfaces (BMIs) or Brain–Computer Interfaces (BCIs), represent one of the most transformative technologies in modern neuroscience and computer engineering. By establishing a direct communication pathway between the human brain and external devices, MMIs are redefining how humans can interact with technology, control machines, and even enhance cognitive and sensory functions.

From restoring motor control in paralyzed patients to enabling thought-driven robotic systems, MMIs are bridging biology and digital computation in ways once imagined only in science fiction.

What Are Mind–Machine Interfaces?

A Mind–Machine Interface is a system that enables bidirectional communication between the brain’s neural activity and an external device—such as a computer, prosthetic limb, or robotic system.

The interface typically captures electrical signals generated by neuronal activity, processes them using signal processing and machine learning algorithms, and converts them into actionable commands that machines can interpret and execute.

In advanced configurations, MMIs can also provide feedback to the brain, creating a closed-loop system where both brain and machine continuously adapt to each other.

Core Components of an MMI System

  1. Signal Acquisition
    • Neural signals are collected using invasive or non-invasive techniques.
    • Invasive methods (like intracortical microelectrodes) provide high-resolution data by directly recording neuronal activity.
    • Non-invasive methods (like EEG, MEG, or fNIRS) capture brain signals through the scalp or optical sensors with lower spatial resolution.
  2. Signal Processing
    • Raw neural signals contain noise and require preprocessing, including filtering, amplification, and artifact removal.
    • Feature extraction algorithms then identify relevant signal patterns (such as event-related potentials or frequency bands).
  3. Machine Learning & Decoding
    • Neural patterns are decoded using AI and machine learning models, including CNNs, RNNs, and deep reinforcement learning.
    • These models translate neural signals into control commands for external devices.
  4. Feedback and Adaptation
    • The system provides real-time sensory or visual feedback to the user.
    • Adaptive learning algorithms improve accuracy as both brain and machine “learn” from interactions over time.

Types of Mind–Machine Interfaces

TypeMethodUse Cases
Invasive MMIsImplanted electrodes within the brain tissueMotor restoration, high-precision prosthetics
Partially Invasive MMIsElectrodes placed under the skull but outside brain tissueCortical monitoring, epilepsy treatment
Non-Invasive MMIsEEG, MEG, or fNIRS sensors on scalpCommunication tools, gaming, cognitive research

Applications of Mind–Machine Interfaces

1. Neuroprosthetics and Mobility Restoration

MMIs enable paralyzed individuals to control robotic limbs, wheelchairs, or computers using their thoughts. Projects like BrainGate and Neuralink have demonstrated successful motor function restoration through neural implants.

2. Medical Rehabilitation

MMIs are used in stroke recovery, Parkinson’s disease treatment, and neurofeedback therapy, helping rewire damaged neural circuits through guided stimulation.

3. Human Augmentation

Advanced research explores cognitive enhancement, memory augmentation, and direct data transfer between human brains and computers — potentially expanding natural human capabilities.

4. Defense and Aerospace

Agencies like DARPA are developing neural control systems for drones, exoskeletons, and next-generation combat systems, enabling faster decision-making through direct neural commands.

5. Communication for Locked-in Patients

Non-invasive MMIs help ALS or locked-in syndrome patients communicate by translating thought patterns into digital text or synthesized speech.

Recent Advances and Key Players

  • Neuralink (USA) – Developing ultra-thin brain implants with thousands of electrodes for high-bandwidth neural data transfer.
  • Synchron (Australia/USA) – Pioneering minimally invasive “stentrode” implants inserted via blood vessels.
  • Kernel (USA) – Focused on non-invasive neuroimaging using time-domain functional near-infrared spectroscopy (TD-fNIRS).
  • Blackrock Neurotech (USA) – Developing clinical-grade brain implants for medical restoration.

Challenges and Limitations

Despite rapid progress, MMIs face significant technical and ethical challenges:

  • Signal Degradation: Long-term stability of implanted electrodes remains a concern due to biological reactions and tissue damage.
  • Data Privacy: Neural data is deeply personal; misuse poses major ethical and privacy risks.
  • Bandwidth and Latency: Current systems struggle to match the brain’s massive data throughput.
  • Ethical & Societal Concerns: Questions about autonomy, mind-reading, and cognitive manipulation are emerging alongside technological advancements.

The Future of Mind–Machine Interfaces

The future of MMIs lies in neural nanotechnology, wireless data transmission, and AI-driven adaptive learning. Emerging trends include:

  • Neural Dust: Microscopic, wireless sensors capable of monitoring individual neurons.
  • Biocompatible Materials: Reducing immune response and enhancing signal longevity.
  • Cloud-Neural Integration: Real-time brain data processing through edge and cloud computing.
  • Brain-to-Brain Communication: Experiments demonstrating thought transmission between humans hint at a new frontier of collective cognition.

By 2035, analysts predict the global brain–computer interface market could exceed $15 billion, driven by healthcare, defense, and consumer applications.

Conclusion

Mind–Machine Interfaces represent a revolutionary leap toward seamless human–technology symbiosis. As engineering, neuroscience, and artificial intelligence converge, MMIs could redefine what it means to be human — enabling thought-driven control, neuro-enhancement, and direct communication between minds and machines.

Yet, the challenge remains to ensure this power is guided by ethical frameworks, robust security, and inclusive accessibility, so the future of neural technology serves humanity as a whole.

FAQs

What is the difference between a Brain–Computer Interface and a Mind–Machine Interface?

While both terms are used interchangeably, Mind–Machine Interface emphasizes interaction with mechanical or robotic systems, whereas Brain–Computer Interface often refers to digital or computational control.

Are MMIs currently available for commercial use?

Yes, non-invasive MMIs (EEG-based) are available for gaming, meditation, and assistive communication, while invasive systems are still under clinical trials.

How safe are invasive brain implants?

Modern implants use biocompatible materials, but long-term implantation carries risks like infection, scarring, or electrode degradation.

What role does AI play in MMIs?

AI enables accurate decoding of neural signals, adaptive control, and real-time decision-making between brain and machine.

What industries will benefit most from MMIs?

Healthcare, defense, robotics, neurogaming, and cognitive research are projected to gain the most from MMI advancements.

Billionaire Kwek Leng Beng’s CDL Sells 84% of Zyon Grand Towers as Singapore Market Heats Up

By
Zara Fernandes
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1
Billionaire Kwek Leng Beng’s CDL Sells 84% of Zyon Grand Towers as Singapore Market Heats Up
Billionaire Kwek Leng Beng’s CDL Sells 84% of Zyon Grand Towers as Singapore Market Heats Up

Singapore, October 2025 — In one of the strongest launches of the year, City Developments Limited (CDL), controlled by billionaire Kwek Leng Beng, announced it sold 590 of 706 units (84%) at its new Zyon Grand Towers during launch weekend.

The development achieved an impressive average selling price (ASP) of S$3,050 per square foot (psf) — marking a milestone moment for Singapore’s resilient property market.

Zyon Grand by the Numbers

  • Project: Zyon Grand — twin 62-storey luxury residential towers
  • Developer: City Developments Limited (CDL) & Mitsui Fudosan (Asia)
  • Total units launched: 706
  • Units sold (as of launch weekend): 590 (84%)
  • Average Selling Price: S$3,050 psf
  • Entry price: 1-bedroom + study from S$1.298 million
  • Penthouse sale: One five-bedroom penthouse sold for over S$10 million

“We are heartened by the overwhelming response to Zyon Grand. The strong sales reflect sustained confidence in Singapore’s real estate market,” CDL said in its press release.

Why Buyers Rushed In

1. Prime Integrated Development
Zyon Grand forms part of the larger Zyon Galleria mixed-use development — featuring F&B outlets, a supermarket, childcare center, and serviced apartments. The convenience and lifestyle appeal strongly attracted both owner-occupiers and investors.

2. Direct MRT Connectivity
The project enjoys a direct link to Havelock MRT station (Thomson–East Coast Line) — a major factor behind its popularity. Easy access to the CBD and Orchard area further boosted its desirability.

3. Competitive Pricing for River Valley
Despite being a prime central location, the pricing of S$3,050 psf remains competitive compared to neighboring developments. This balance of luxury and value helped drive rapid take-up.

Who Bought the Units

According to CDL’s launch data:

  • 84% of buyers were Singapore citizens
  • 14% were Permanent Residents
  • 2% were foreigners, primarily from China, India, Malaysia, Indonesia, South Korea, and Japan

This indicates robust local demand — even with higher stamp duties for foreign buyers still in place.

Singapore’s Property Market Outlook

Data from the Urban Redevelopment Authority (URA) shows that private residential property prices rose 0.9% quarter-on-quarter in Q3 2025.
The number of new private homes sold also climbed, driven by successful high-end launches like Zyon Grand.

Analysts say the results demonstrate strong liquidity and continued appetite for well-located, high-quality projects — especially those with integrated amenities and transport connectivity.

CDL’s Corporate Context

CDL, one of Singapore’s largest property developers, has had an eventful year. Earlier in 2025, founder and chairman Kwek Leng Beng made headlines during a temporary boardroom dispute that was later resolved amicably with CEO Sherman Kwek.

The blockbuster Zyon Grand launch reaffirms CDL’s leadership position in the market — both in execution and investor confidence.

Analyst Takeaway

“Zyon Grand’s performance highlights that even in a measured growth phase, prime launches in strategic locations continue to see outsized success,” says property analyst Tan Hwee Ling.

With land scarcity, infrastructure growth, and sustained investor confidence, Singapore’s property sector looks poised to remain resilient and premium-priced heading into 2026.

Conclusion

The 84% sell-out success of Zyon Grand underscores two truths about Singapore’s real estate:

  • Prime properties remain in high demand despite cautious policy environments, and
  • Developers with strategic timing and integrated designs continue to capture strong market sentiment.

As 2025 closes, CDL’s Zyon Grand sets a new benchmark for luxury developments in Singapore’s city core — blending location, lifestyle, and investor confidence into a standout launch.

Fnality Secures $136M in Series C to Build the Next-Gen Global Settlement Network

By
Zara Fernandes
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1
Fnality Secures $136M in Series C
Fnality Secures $136M in Series C

London, 24 September 2025 — Fnality, a fintech infrastructure firm focused on wholesale payments, today announced it has raised $136 million (≈ £99.7 million) in a Series C round, with backing from leading global banks and asset managers.

This funding marks a pivotal milestone for Fnality’s ambition to build a regulated, distributed-ledger (DLT) settlement backbone that links legacy finance (TradFi) and tokenized / digital markets.

Company Profile & Mission

Fnality International (commonly referred to as “Fnality”) is a London-based fintech / market infrastructure firm. Its mission: to create regulated wholesale payment systems based on DLT, where “on-chain money” is fully backed by central bank reserves.

Key features of Fnality’s design include:

  • Real-time atomic settlement — instant finality for trades (e.g. delivery-versus-payment)
  • 24/7 availability — continuous operation outside normal banking hours
  • Liquidity optimization & risk reduction — better use of intraday liquidity, fewer intermediaries
  • Interoperability — ability to integrate with legacy systems or other DLT solutions
  • Use of “earmarking” — tagging funds for conditional use (so funds reserved for specific purposes can’t be misapplied)

The first live deployment is the Sterling Fnality Payment System (denoted £FnPS), launched in December 2023 in the U.K. This was the world’s first regulated DLT wholesale payment rail backed by central bank funds.

Fnality’s vision is to extend this model to multiple currencies (USD, EUR, etc.), enabling cross-currency, real-time settlement for institutional actors in tokenized and traditional markets.

Leadership & Key Personnel

  • Michelle Neal, CEO (since March 2025) — previously held senior roles at the Federal Reserve Bank of New York, BNY Mellon, Deutsche Bank, Nomura, etc.
  • Rhomaios Ram, Founder / former CEO, now strategic advisor — a veteran in FX and transaction banking.

Fnality is relatively lean in headcount (circa 100 employees across UK & US offices, as of 2025) but built around deep industry, banking, regulatory, and technical talent.

Investment & Funding History

A concise timeline and summary:

YearRoundAmount / CurrencyLead / NotablesPurpose / Notes
2019Series A£55 million (~US $68M)Initial institutional banking investorsSeed capital to begin building infrastructure and engage regulators.
2023 (Nov)Series B£77.7 million (~US $95–100M)Led by Goldman Sachs & BNP Paribas; participation by DTCC, Euroclear, Nomura and othersAllowed expansion and deployment of £FnPS and proof-of-concept use cases.
2025 (Sep)Series C$136 million (~£99.7M)Led by WisdomTree, Bank of America, Citi, KBC, Temasek, Tradeweb. Existing investors participated (Goldman Sachs, UBS, Barclays, BNP Paribas, etc.)To accelerate multi-currency rollout, enhance liquidity tools, expand ecosystem.

Total capital raised to date is over £132.7 million (≈ US $160M+) after Series B.

Some third-party data sources also list $308 million total (though that likely includes projected future rounds or aggregated expectations) — but publicly confirmed is the Series C figure of $136M.

Investors & Backers

Fnality enjoys backing from a wide and heavyweight set of financial institutions and market infrastructure players, which not only provides capital but also domain credibility, market access, and channels for adoption.

Lead / New Investors (Series C)

  • WisdomTree — digital asset and tokenization innovator
  • Bank of America
  • Citi
  • KBC Group
  • Temasek
  • Tradeweb

Existing / Legacy Investors (joined in Series C as well)

  • Goldman Sachs
  • BNP Paribas
  • Barclays
  • UBS, ING, Euroclear, DTCC, State Street, Banco Santander and other global institutions

This roster gives Fnality strong alignment with the institutions whose infrastructure it seeks to modernize or connect to.

Products, Services & Use Cases

Fnality’s offerings are more infrastructural/platform-level rather than end-user apps. Some key components include:

Fnality Payment Systems (FnPS)

These are regulated DLT-backed wholesale payment rails in a given currency jurisdiction (e.g. sterling). Each FnPS is intended to be supervised by the relevant central bank or regulators, with funds held 1:1 in central bank reserves (or equivalent) — giving them the credit quality of central bank money.

Within an FnPS:

  • Settlement of tokenized securities (DvP, delivery-versus-payment)
  • FX payment-versus-payment (PvP)
  • Real-time repo and collateral transactions
  • Intraday, conditional settlement (via earmarking)
  • Liquidity optimization / intraday funds management

One near-term extension is enabling intraday settlement for sterling repo trades (which historically settle over a day or more). Fnality, jointly with HQLAX, applied to the Bank of England for authorization to operate intraday repo settlement.

Ecosystem & Interoperability

Fnality aims to interoperate with:

  • Legacy banking and settlement systems (e.g. SWIFT, clearinghouses)
  • Other DLT or blockchain platforms
  • Tokenized assets infrastructure (stablecoins, tokenized securities, real-world assets)
  • Market infrastructure operators (exchanges, custodians, depositories)

By doing so, Fnality seeks to serve as the “settlement plumbing” underpinning the next generation of institutional finance and tokenized markets.

Market Opportunity & Positioning

Fnality situates itself at a confluence of several macro trends:

  1. Tokenization of real-world assets (RWA) — as bonds, equity, and alternative assets move onto chains, there is demand for institutional-grade settlement rails.
  2. Demand for faster settlement — legacy systems often take T+1 or more; Fnality enables real-time or near-real-time finality.
  3. Cross-border and cross-currency flows — bridging multiple FnPS rails promises frictionless FX and global payments.
  4. Institutional comfort in regulated environments — Fnality’s model is carefully designed to sit inside regulated finance, unlike some purely crypto-native rails.
  5. Liquidity & capital optimization — reducing idle capital, netting, intraday reuse of liquidity.

However, barriers remain: regulatory approvals in each jurisdiction, adoption inertia among incumbents, competition from existing payment systems or central bank digital currencies (CBDCs), and operational/security scaling.

Why the $136M Raise Matters

  • Provides the capital to scale operations, hire talent, expand engineering, and accelerate deployment in USD, EUR, and other markets.
  • Signals strong institutional confidence, given participation of large banks and asset managers.
  • Enables deeper product enhancements — e.g. liquidity tools, orchestration layers, conditional settlement features.
  • Helps with regulatory outreach and market credibility — large backers bring influence and legitimacy to Fnality’s expansion efforts.

FAQs — Common Questions About Fnality & Its Raise

What exactly is Fnality building — is it a cryptocurrency?

No — Fnality is building regulated payment systems on distributed ledger technology. The “money” in Fnality is backed 1:1 by real central bank funds, not speculative tokens.

Why is Fnality’s model different from other blockchain payments or stablecoins?

Most blockchain payment systems rely on commercial bank money, stablecoins, or intermediary tokens, each carrying credit risk. Fnality uses central bank–level backing and regulatory design, aiming to minimize counterparty and settlement risk.

What is “earmarking” and why is it useful?

Earmarking is a programmable mechanism where funds are reserved for a specific purpose and cannot be deviated. It supports conditional workflows (e.g. releasing funds only after a trade’s conditions are met).

When will Fnality expand beyond sterling?

Fnality has stated plans to deploy USD, EUR and possibly other FnPS rails, subject to regulatory approval in those jurisdictions.

Who are likely clients / participants?

Major banks, clearinghouses, exchanges, custodians, token issuers, institutional investors, and trading platforms. Any entity engaging in large wholesale flows, securities settlement, repo, FX, or tokenized asset settlement.

What are the biggest challenges / risks?

Regulatory uncertainty & jurisdictional approval regimes; integration with legacy systems; adoption hurdles from incumbents; scaling security, throughput, resilience; competition from CBDCs or bank-led digital rails.

Keep Reading:

Nano Banana AI: What You Actually Need to Know

By
Zara Fernandes
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1
Nano Banana AI, Gemini 2.5 Flash Image
Nano Banana AI, Gemini 2.5 Flash Image

Since its release in late August 2025, Nano Banana AI (officially Gemini 2.5 Flash Image) has been making waves.

Here are some key stats:

  • Within weeks of launch, Gemini (with Nano Banana) gained 10+ million new users.
  • Over 200 million image edits / creations have been done using Nano Banana in that period
  • Its rise has pushed the Gemini app to the top of app-store rankings in India, the U.S., and elsewhere—surpassing even ChatGPT.

The popularity isn’t just because it’s new—it’s because it hits a sweet spot of ease + quality + novelty.

What Makes Nano Banana ai Stand Out

Here are the features that people are raving about:

  1. High fidelity edits + subject consistency
    Even when you change background, outfit, lighting, etc., the subject (person, pet, main object) tends to stay recognizable. That consistency is something older tools often struggled with.
  2. Multi-image fusion + style blending
    You can feed in more than one image (for example, two different pictures of yourself) and blend them, or apply styles/textures/filters drawn from other images.
  3. Prompt speed / usability
    Many users say Nano Banana delivers polished results quickly, which helps in social media- style content (memes, stylised portraits, etc.).
  4. Synthetic watermarking with SynthID
    To help with authenticity / detection, Nano Banana images (and other Google generative outputs) include watermarking technology called SynthID, which embeds invisible identifiers so that the AI origin can be verified later.

Limitations & What Users Report

No tool is perfect. Some of the trade-offs / challenges with Nano Banana:

  • Fine detail can still falter: face features, small hands, complex fabrics sometimes distort or look less natural under close inspection. Some reviewers found ChatGPT-5 or other image models better in certain detailed prompts.
  • Editing tools missing / partial: There have been reports it lacks some basic manual tools (e.g. precise cropping or box selection) or that edits sometimes revert unexpectedly.
  • Watermark vulnerabilities: Although SynthID is robust to many common post-edits (cropping, resizing, color changes), extreme transformations or image attacks may reduce detectability. Also, watermarking doesn’t stop misuse per se; it just helps in traceability.

Competitors: Who’s in the Race

Nano Banana is not alone. Here are some strong rivals, and how they compare:

CompetitorStrengths / What They Do WellWhere They May Lag Behind Nano Banana
Seedream 4.0 (ByteDance)Claimed better results in prompt-adherence, aesthetics, alignment (internal benchmarks like MagicBench) than Nano Banana.As far as public verifications go, it’s newer, less widespread; may lack some of the interface polish or broad support Nano Banana has.
ChatGPT-5 / DALL·E / MidjourneyVery good at imaginative, fantasy / conceptual prompts; flexible with styles; breadth of presets, community input. Some prompts test Nano Banana less well (especially highly creative, non-realistic or heavily stylized ones).Maybe not as fast for some edits; subject consistency (keeping your face looking like you) sometimes weaker depending on prompt.
Imagen (Google’s own)Excellent for creating fresh, high-realism images from scratch (text-to-image), where Nano Banana mostly shines in editing / refining existing images.Less direct control over refining an uploaded personal photo; perhaps fewer social / virality-oriented features.

So depending on what you want (fantasy art, commercial product shots, stylised portraits, etc.), you might prefer one or another—or even use more than one in combination.

Tips to Generate the Best AI Images with Nano Banana (or Similar Tools)

To get great results, not just “good enough,” here are tested tips:

  1. Be specific in your prompt
    Include style, lighting, mood, color palette, environment, perspective. E.g. “Studio portrait, soft diffused light, pastel background, person wearing traditional Indian kurta, realistic texture, shallow depth of field” will outperform “make me traditional portrait.”
  2. Use reference images / multi-image input
    If tool allows, upload multiple photos of the subject (different angles, lighting). This helps the model maintain likeness and consistency.
  3. Iterate — refine step by step
    Start with a base image + prompt, see what comes out. Then prompt follow-ups like “make background cleaner,” “less harsh shadows,” “more texture on clothes,” etc. Don’t expect perfect first try.
  4. Mind the composition & framing
    While AI is good, certain compositions (centered subject, strong focal point, contrast) work better. If the subject is too small or hidden, the editing / blending may lose quality.
  5. Avoid overly complex instructions in one prompt
    If you ask for too many changes at once, you might lose control. Better to do in stages: first define style + subject, then adjust environment, then add small elements.
  6. Choose style wisely
    If you want a particular aesthetic (e.g. retro, cinematic, hyper-real, painterly), mention it. Also reference artists or known style sources helps (“in the style of …”), but be careful of copyright / usage restrictions.
  7. Watch for lighting & mood consistency
    If you mix images or change backgrounds, mismatched lighting (direction, color temperature) can break realism. Prompt specifying time of day, light source type (“golden hour light,” “soft window light,” “studio lights”) helps.
  8. Leverage watermarking / authenticity tools
    If you want your creations to be clearly marked (or want to avoid misrepresentation), understand SynthID: keep originals, know how edits affect detection.

Real-World Use Cases & Trends

  • The “3D figurine” / “toy-like miniature” portraits are currently viral on social media, especially India.
  • Modified selfies: users turning themselves into scenes from classic art / historical eras / famous movie sets.
  • E-commerce / product design mockups: for example visualizing how a new product might look in real rooms, different lighting, etc.
  • Photo restorations / stylisation: turning old photos into colour, changing backgrounds, etc.

FAQs

What is a SynthID watermark, and can it be removed?

SynthID is an invisible digital watermark embedded at pixel level in images generated (or edited) by Google’s supported generative models. It’s invisible to human eye but detectable by tools. While it survives many kinds of edits (cropping, resizing, color adjustments), extreme modifications can reduce detectability. There are research tools (like “UnMarker”) that attempt to remove or defeat watermarks, which shows this is a cat-and-mouse game.

Can I use Nano Banana images commercially?

You’ll need to check Google’s licensing / terms and conditions. Often, AI-generated or AI-edited content has usage rights, but there may be restrictions especially if you’re using images of people, copyrighted content, or commercial branding. Always verify rights, especially if for sale or advertising.

How many prompts / how many edits can I do? Is there a quota or cost?

Public info suggests hundreds of millions of image-edits have been done. Some features are free, but for heavy / premium usage there may be limits or subscription tiers. (Because Gemini is a Google product, watch for usage tiers or pricing. Specifics may vary by country.)

How does Nano Banana compare to Seedream 4.0?

Seedream 4.0 (from ByteDance) claims to outperform Nano Banana in internal benchmarks (prompt adherence, aesthetic, alignment) according to their company data. But public comparisons are still early. If your priority is one particular type of image (say, stylised fantasy, or surreal environments), it might be worth testing both.

What kind of prompt works best for figurines / stylised portraits?

Prompts that define scale (e.g. “1/7 scale figurine”), material or texture, environment (desk / shelf / showcase), lighting (studio / natural daylight / spotlight), style (photorealistic / toy-like / retro / matte / glossy), plus references to color, mood. Also specify the subject clearly (who or what is in photo, angle etc.).

Final Thoughts

Nano Banana is a big leap in making image editing AI feel accessible and powerful. For users, its strengths lie in fast, realistic edits, maintaining character consistency, and a friendly prompt-based workflow. But like all tech, it has limits—fine details, complex control, and transparency / misuse concerns are still areas to watch.

If you plan to use it (or another AI image tool) seriously:

  • Experiment a lot. Try different prompt styles, get familiar with what works / what doesn’t.
  • Combine tools: maybe generate with one tool, refine with another.
  • Be mindful of ethics: if editing people (especially identifiable persons), or using others’ photos / styles, respect privacy / copyright.
  • Keep originals, version through edits; maintain provenance (SynthID helps, but your own records are useful).

Keep Reading:

High Ticket Affiliate Marketing: The Ultimate Guide to Earning Big in 2025

By
Zara Fernandes
-
0
High Ticket Affiliate Marketing
High Ticket Affiliate Marketing

Affiliate marketing has become one of the fastest-growing ways to make money online. But while most beginners focus on promoting low-cost products with small commissions, experienced marketers know the real money lies in high ticket affiliate marketing. Instead of earning $10 to $50 per sale, you could be earning $500, $1,000, or even $5,000+ per transaction.

In this article, we’ll break down what high ticket affiliate marketing is, how it works, the best programs in 2025, and strategies to succeed.

What is High Ticket Affiliate Marketing?

High ticket affiliate marketing is a business model where affiliates promote premium products or services that come with a high price tag. Because of the higher value, the commission payouts are significantly larger than typical affiliate programs.

For example:

  • Selling a $50 ebook at 20% commission = $10 profit.
  • Selling a $5,000 online course at 30% commission = $1,500 profit.

This means you can earn the same income with fewer sales compared to traditional affiliate marketing.

Benefits of High Ticket Affiliate Marketing

  1. Higher Profit Margins – You can hit income goals faster with fewer customers.
  2. Quality over Quantity – Instead of hundreds of small sales, you can focus on 5–10 big ones.
  3. Premium Audience – High ticket buyers are more committed, loyal, and serious about investing.
  4. Sustainable Growth – With the right funnel and systems, it creates long-term recurring income.
  5. Less Competition – Fewer affiliates promote high ticket offers compared to low ticket products.

Challenges of High Ticket Affiliate Marketing

  • Requires Trust Building – Customers won’t spend thousands without trusting you.
  • Longer Sales Cycle – Higher-priced products take more time to sell.
  • Advanced Marketing Skills – You’ll need email marketing, webinars, or sales funnels.
  • Quality Content Needed – Blogging, YouTube, or LinkedIn authority helps conversions.

Best High Ticket Affiliate Programs in 2025

Here are some of the top niches and programs that offer high ticket commissions:

1. Software & SaaS

  • ClickFunnels 2.0 – Earn up to 40% recurring commissions.
  • HubSpot – Commissions range from $250 to $1,000+ per referral.
  • Kinsta Hosting – Up to $500 per customer.

2. Online Courses & Coaching

  • Knowledge Broker Blueprint (KBB by Tony Robbins & Dean Graziosi) – Commissions up to $1,000+.
  • Coursera for Business – High-ticket enterprise packages.
  • High-level mastermind coaching programs ($2,000 – $10,000 packages).

3. Luxury Products & Services

  • Travel & Tourism Packages – Cruise lines, luxury hotels, vacation packages.
  • High-End Tech Gadgets – Drones, laptops, or photography gear.
  • Investment Services – Real estate coaching or trading platforms.

4. Finance & Investment

  • Wealth Building Programs – Financial coaching, investment education.
  • Credit Repair & Loan Services – High commissions on customer sign-ups.
  • Crypto & Stock Platforms – Some offer $500+ per client.

How to Succeed in High Ticket Affiliate Marketing

1. Pick the Right Niche

Choose industries where people are already willing to spend big: business, finance, luxury lifestyle, health & fitness coaching, and software.

2. Build Authority & Trust

  • Create long-form blog posts, SEO content, and YouTube videos.
  • Share success stories and case studies.
  • Offer free value (guides, webinars, mini-courses).

3. Use Sales Funnels

A funnel system is critical for high ticket offers:

  • Freebie/lead magnet → Email sequence → Webinar/consultation → High ticket sale.

4. Leverage Paid Advertising

  • Facebook & Instagram Ads for lead generation.
  • Google Ads for high-intent keywords.
  • LinkedIn Ads for B2B offers.

5. Offer Personal Engagement

  • Provide free consultations or strategy calls.
  • Use email follow-ups for nurturing leads.
  • Build relationships instead of “pushy” selling.

SEO Strategy for High Ticket Affiliate Marketing

To rank and attract organic traffic, focus on:

  • Keyword Research: Target long-tail keywords like “best high ticket affiliate programs 2025” or “how to start high ticket affiliate marketing”.
  • Content Clusters: Write guides, product reviews, and comparisons.
  • On-Page SEO: Use proper headings, meta descriptions, and schema.
  • Backlinks: Guest posts and collaborations in your niche.
  • Conversion Rate Optimization (CRO): Optimize CTAs and landing pages.

Future of High Ticket Affiliate Marketing

With AI-driven funnels, personalized marketing, and global access to premium digital products, high ticket affiliate marketing is expected to grow 15–20% annually in the next five years. More companies are shifting to premium memberships, masterminds, and software packages — opening massive opportunities for affiliates.

FAQs

How much can you earn from high ticket affiliate marketing?

Earnings range from a few hundred dollars per month to $10,000+ monthly, depending on your niche and effort.

Do I need a website to start?

While not mandatory, having a website or blog boosts credibility and SEO traffic.

Can beginners succeed with high ticket affiliate marketing?

Yes, but it requires patience and skills like content marketing, email nurturing, and funnel creation.

Which is better: low-ticket or high-ticket affiliate marketing?

Low-ticket is easier to start but requires volume. High-ticket is harder initially but more profitable long term.

Conclusion

High ticket affiliate marketing is one of the most profitable online business models in 2025. By promoting premium products, building trust, and using advanced marketing strategies, you can achieve financial freedom with fewer but more valuable sales.

If you’re ready to stop chasing $10 commissions and start earning $1,000+ per sale, high ticket affiliate marketing is the ultimate path.

Keep Reading:

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