Anthropic

Liquid AI

Anthropic

Anthropic makes money through API access and subscriptions, similar to OpenAI. The Claude API charges developers per token for input and output.

Claude Pro costs $20/month for individuals with priority access and higher usage limits. Claude Team is $25-30/user/month for businesses.

Claude Enterprise offers custom pricing with enhanced security, admin controls, and longer context windows. Amazon Web Services resells Claude through Amazon Bedrock and Google Cloud offers it through Vertex AI, both generating revenue-sharing income for Anthropic.

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.

Anthropic

Dario Amodei was VP of Research at OpenAI. His sister Daniela Amodei was VP of Operations.

They were two of the most senior people at the company. In 2020-2021, they grew increasingly concerned that OpenAI was prioritizing commercialization over safety research.

The board crisis that would eventually happen in 2023 was already brewing beneath the surface — the tension between "move fast and ship products" and "slow down and do the safety work" was real.

In early 2021, Dario and Daniela left OpenAI and took a group of key researchers with them. They founded Anthropic as a public benefit corporation — a structure that legally requires the company to consider its impact on society, not just shareholder returns.

The name comes from "anthropic principle" in physics — the idea that the universe's fundamental parameters seem fine-tuned for human existence.

The founding thesis was simple: AI was going to become incredibly powerful whether anyone wanted it to or not. The safest path was to have a safety-focused lab at the frontier of capabilities, not watching from the sidelines.

Build the most powerful AI you can, but build it with safety baked into every layer.

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.

Anthropic

Anthropic grew through a deliberate "safety as a brand" strategy. While OpenAI chased consumer virality with ChatGPT, Anthropic positioned Claude as the thoughtful, reliable, safety-conscious alternative.

Developers who found ChatGPT inconsistent or who worried about data privacy gravitated to Claude.

The enterprise partnerships were the real growth engine. Amazon has put $8 billion in and made Claude a featured model on Amazon Bedrock.

Google has invested billions more and integrated Claude into Google Cloud. These partnerships gave Anthropic instant distribution to millions of enterprise developers without building a sales team.

Claude's strength in specific use cases drove adoption. Claude became known as the best AI for long-document analysis, subtle writing, and careful reasoning.

Law firms, financial analysts, researchers, and enterprise customers who needed accuracy over speed chose Claude. The reputation for quality over flash built a loyal and growing user base.

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.

Anthropic

The funding arms race is existential. Training frontier AI models costs billions.

Anthropic has raised tens of billions and needs to keep raising because each generation of Claude costs more to train. If a funding round fails or investors lose confidence, Anthropic can't compete at the frontier.

The company is in a spending war with OpenAI (backed by Microsoft) and Google (with DeepMind) — two of the richest companies in history.

Being second in consumer awareness hurts. ChatGPT is a household name.

Claude is not. Most non-technical people have never heard of Anthropic.

This matters because consumer brand recognition drives enterprise adoption — CIOs buy what they've heard of. Anthropic has to fight for mindshare against a competitor with a massive head start in public awareness.

The safety-capabilities tension is real. Anthropic's entire brand is built on being the "safe" AI company.

But to stay competitive, they must build increasingly powerful models. Every capability improvement creates new risks.

If Anthropic ships something that causes harm, the reputational damage is catastrophic because safety is their core promise. If they move too slowly, they become irrelevant.

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.

Anthropic

Claude is the flagship AI assistant — available via web app, mobile app, and API. Claude excels at long-document analysis, coding, writing, and reasoning.

Claude's context window runs to 1 million tokens on its largest-context models, which is thousands of pages in one go. The Claude API lets developers build applications powered by Claude.

Claude for Enterprise provides businesses with a private, secure deployment. Constitutional AI is Anthropic's research framework for training AI systems to be helpful, harmless, and honest — the safety methodology that differentiates Claude from competitors.

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.

Anthropic

Google ($3B+), Amazon ($8B), Spark Capital, Salesforce, Menlo Ventures, SK Telecom, Lightspeed

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.