Cloudflare

Liquid AI

Cloudflare

Cloudflare operates on a freemium model with usage-based pricing. The free tier provides basic CDN, DDoS protection, and SSL for any website — this is how millions of sites use Cloudflare without paying a cent.

Paid plans start at $20/month (Pro), $200/month (Business), and custom enterprise pricing for large organizations.

The free tier is the growth engine, not charity. Every free website that routes through Cloudflare adds data to the network — more traffic patterns to analyze, more attacks to learn from, more threat intelligence to feed the machine learning models.

Free users make the paid product better.

Enterprise contracts are where the real money lives. Large organizations pay six and seven figures annually for advanced security, performance, and compliance features.

Revenue reached $1.67 billion in 2024 and kept compounding at roughly 28% a year. The company has been approaching profitability with improving margins.

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.

Cloudflare

The origin story starts with Project Honey Pot, a free open-source project that Matthew Prince created in 2004 to track online spammers and hackers. The project grew to track millions of malicious IP addresses, and the Department of Homeland Security started using the data.

But Prince noticed something: he had all this threat intelligence and no good way to help website owners actually use it.

At Harvard Business School in 2009, Prince teamed up with Michelle Zatlyn for a class project exploring how to turn that threat data into a product. Their professor gave them a B — which Prince has jokingly called the most expensive B in HBS history, given what the company became.

They brought in Lee Holloway, a brilliant but unconventional systems programmer Prince had worked with previously, as the third co-founder and technical architect.

Cloudflare launched publicly at TechCrunch Disrupt in September 2010 with a bold pitch: sign up for free, change your DNS, and Cloudflare will make your website faster and more secure. No hardware to install.

No software to configure. Just a DNS change.

In the first day, thousands of websites signed up. The simplicity was the product — in an industry where security meant expensive appliances and complex configurations, Cloudflare said "just point your domain at us and we'll handle it."

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.

Cloudflare

Cloudflare grew by being free. The free tier removed every barrier to adoption.

A blogger in India and a Fortune 500 company could both sign up in five minutes. This created a massive installed base that generates word-of-mouth, training data, and upsell opportunities.

The developer community became the second growth engine. Cloudflare Workers turned the company from a security vendor into a cloud computing platform.

Developers build entire applications on Cloudflare's edge network, which creates deep technical lock-in. Once your application runs on Workers, migrating to AWS Lambda is a significant engineering effort.

Strategic pricing warfare accelerated commercial adoption. When Cloudflare launched R2 storage with zero egress fees, it directly attacked Amazon S3's most hated pricing model.

The "Bandwidth Alliance" partnered with cloud providers to eliminate data transfer fees. These moves positioned Cloudflare as the anti-AWS — the cloud company that doesn't nickel-and-dime you.

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.

Cloudflare

AWS, Google Cloud, and Microsoft Azure are simultaneously partners and competitors. Cloudflare's network sits in front of these clouds, which makes the cloud providers uncomfortable.

As Cloudflare expands into compute (Workers), storage (R2), and databases (D1), the competitive overlap grows. The cloud providers could theoretically build or acquire similar capabilities and bundle them for free.

Profitability pressure is real. Cloudflare has prioritized growth over profits, spending aggressively on network expansion and R&D.

Operating margins have been negative for most of the company's public life, though they've been improving. Investors have tolerated this during growth-stock mania but patience may not last forever.

Content moderation controversies arise periodically. As a company that provides infrastructure to millions of websites, Cloudflare occasionally faces pressure to terminate service to controversial or harmful sites.

They removed 8chan after the El Paso shooting in 2019 and the Daily Stormer in 2017. Prince has described these decisions as uncomfortable, arguing that infrastructure providers shouldn't be arbiters of online speech but sometimes have no choice.

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.

Cloudflare

Cloudflare CDN — a content delivery network spanning 330+ cities in 120+ countries that caches and serves web content from the nearest location to each user, making websites dramatically faster. Cloudflare DDoS Protection — automatic detection and mitigation of distributed denial-of-service attacks.

Has blocked some of the largest DDoS attacks in internet history, including a 71 million requests-per-second attack in 2023. Cloudflare Workers — a serverless computing platform that lets developers deploy code to Cloudflare's edge network, running applications in 330+ locations worldwide with millisecond latency.

Cloudflare Zero Trust — a complete security platform replacing traditional VPNs and firewalls with identity-based access controls for remote workforces. Cloudflare R2 — object storage that competes with Amazon S3 but with zero egress fees, saving companies thousands on data transfer costs.

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.

Cloudflare

New Enterprise Associates (NEA) led the Series A. Venrock, Pelion Venture Partners, and Union Square Ventures invested early.

Fidelity, Microsoft, Google Capital (now CapitalG), and Baidu all invested in later rounds — notably both Google and Baidu investing in the same company. The September 2019 IPO raised $525 million at a $4.4 billion valuation.

The stock has since grown significantly.

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.