Nubank

Liquid AI

Nubank

Nubank makes money from credit card interchange fees (1-3% of every transaction), interest on credit card balances and personal loans, and net interest income from deposits (lending out customer deposits at higher rates than it pays in savings interest). The company also earns fees from insurance products and investment marketplace commissions.

The key insight is that by being digital-only with no branches, Nubank's cost to serve a customer is roughly 85% lower than traditional Brazilian banks.

Liquid AI

Liquid AI builds foundation models, the big general-purpose brains that power chatbots and other AI tools. The difference is efficiency.

Their models, called Liquid Foundation Models, are designed to do more with far less memory and computing power. Companies pay to use them, either through a cloud API or by running the models on their own machines.

That second option matters. A bank or a hospital often cannot send private data to someone else's server.

Liquid AI lets them keep the model in-house. The pitch to a customer is basically this.

You get strong AI without renting a mountain of expensive chips.

Nubank

David Vélez grew up in Colombia, studied at Stanford Business School, and worked at Sequoia Capital in Silicon Valley. In 2012, Sequoia sent him to Brazil to find investment opportunities.

What he found instead was the worst banking experience he'd ever encountered.

Brazilian banks were controlled by five massive institutions that charged outrageous fees — annual credit card fees of $200+, account maintenance fees, fees on fees. Customer service was a nightmare.

Branches required hours of waiting. The banks had zero incentive to improve because they had a captive market of 200 million people and no competition.

Vélez saw the opportunity and left Sequoia to start Nubank in 2013 with Cristina Junqueira (a former Itaú banker) and Edward Wible (a Princeton engineer). Their first product was a purple credit card — no annual fee, managed entirely through a beautiful app, with transparent billing and real-time notifications.

In a country where banks treated customers like an inconvenience, Nubank treated them like human beings.

Liquid AI

Liquid AI is a spinout from MIT's Computer Science and Artificial Intelligence Laboratory, better known as CSAIL. The core science came from Ramin Hasani, who spent his PhD studying the nervous system of a tiny worm called C.

elegans. That worm has just 302 neurons and still manages to move, hunt, and react to its world.

Hasani and his collaborators asked a simple question. What if you built an AI that worked more like those neurons and less like a giant static network?

The answer was the liquid neural network, a model whose internal wiring keeps adjusting even after training is done. The team incorporated the company in 2023.

Daniela Rus, who runs CSAIL and is one of the most respected robotics researchers alive, came on as a co-founder. So did Mathias Lechner and Alexander Amini, both longtime research partners of Hasani.

Nubank

Nubank grew through word of mouth in a country where everyone hated their bank. The product was so much better than the alternative that customers became evangelists.

The invite-only launch created exclusivity and a waitlist that hit millions. People would beg friends for an invite code because getting a Nubank card felt like escaping prison.

The cost advantage was structural. Traditional Brazilian banks operated thousands of branches with tens of thousands of employees.

Nubank had an app and a customer service team. This let Nubank offer free products that banks charged hundreds of dollars for.

The unit economics were unbeatable — when your competitor has 4,000 branches and you have zero, you can afford to be generous.

Geographic expansion into Mexico and Colombia replicated the playbook. Both countries had the same banking problem — concentrated, fee-heavy, customer-hostile banks.

Nubank launched in Mexico in 2019 and Colombia in 2020. Mexico alone already has over 8 million Nubank customers.

Liquid AI

The growth angle is size, or the lack of it. Most frontier models are so heavy they only run in data centers.

Liquid AI aims for models light enough to run on a phone, a car, or a factory robot. That opens doors the giants cannot easily reach.

The AMD partnership pushes the same idea. AMD makes chips, and it wants efficient models that show off its hardware.

So AMD led the Series A and became both an investor and a distribution partner. Liquid AI also releases open models to researchers, which builds a following before the sales team ever makes a call.

Nubank

The IPO timing was terrible. Nubank went public on the NYSE in December 2021 at a $41 billion valuation.

The stock immediately crashed as the global tech sell-off hit and rising interest rates in Brazil increased the cost of capital. The stock fell from $12 to under $4 by mid-2022.

Vélez had to spend a year convincing investors that a Brazilian digital bank was worth owning during a global risk-off environment.

Credit risk in Latin America is inherently higher. Brazil has volatile inflation, currency risk, and a large unbanked population with limited credit history.

Nubank's loan book grew rapidly, and delinquency rates spiked in 2022 as Brazil's economy slowed. Managing credit risk at scale in emerging markets is fundamentally harder than in developed economies.

Nubank has since tightened underwriting and delinquency has improved, but it remains the biggest operational risk.

Regulatory complexity across three countries is a constant headache. Brazil, Mexico, and Colombia each have different banking regulations, consumer protection laws, and compliance requirements.

Navigating three regulatory environments simultaneously while growing at speed requires significant legal and compliance investment.

Liquid AI

The honest problem is Goliath. OpenAI, Google, Anthropic, and Meta have raised tens of billions of dollars between them.

Liquid AI has raised under $300 million. The transformer architecture those giants use is battle-tested and improving fast.

Liquid AI has to prove its different approach not only works but keeps working as models get bigger. Betting against the most successful design in AI history is bold.

It is also the kind of bet that ends in either a great acquisition or a quiet shutdown, with not much room in between.

Nubank

Nu Credit Card is the flagship — a no-annual-fee Mastercard managed entirely through the app. NuConta is the digital bank account with free transfers and bill payments.

Nu Invest is the investment platform offering stocks, ETFs, and fixed income. Personal Loans are offered based on credit behavior within the app.

Nu Life Insurance and other insurance products are distributed through the app. Ultraviolet is the premium tier with higher limits, airport lounges, and additional perks.

NuPay is the payments solution for merchants.

Liquid AI

The main products are the Liquid Foundation Models, a family that ships in several sizes so a customer can pick the smallest one that does the job. The second generation, LFM2, arrived in 2025, including LFM2-VL vision-language models built for phones, laptops, wearables and embedded chips.

The company has leaned hard into on-device AI rather than the cloud. The focus is always the same.

Match the quality of a much larger model while using a fraction of the memory and power.

Nubank

Sequoia Capital, Tiger Global, DST Global, Tencent, Berkshire Hathaway, SoftBank, Dragoneer

Liquid AI

It started with a $37.5 million two-stage seed in December 2023 at a $303 million valuation, from OSS Capital, PagsGroup, Automattic (the company behind WordPress), Samsung Next and others. Angels included GitHub co-founder Tom Preston-Werner, Shopify's Tobi Lütke and Red Hat co-founder Bob Young.

Then AMD Ventures led the $250 million Series A in December 2024, which is unusual because AMD is a chipmaker, not a typical venture fund. That backing gave Liquid AI both money and a hardware ally.

When a major chip company writes the lead check on an efficiency-focused model maker, it signals a bet that the future of AI is not just bigger, it is leaner.