# Baus > We back founders already in motion. A crypto and AI early-stage liquid fund that backs exceptional founders already in motion. Baus is a crypto and AI early-stage liquid fund. We back exceptional founders already in motion. ## Contact - Email: hello@baus.ai - Website: https://www.baus.ai ## What we do - Crypto and AI early-stage liquid fund - We back exceptional founders already in motion - Capital that can move; conviction without ceremony - Not a venture studio: we do not incubate companies from a blank page ## Thesis pillars - Crypto-native systems — protocols, markets, and infrastructure where crypto is in the critical path of value - Applied AI — intelligence that does the work: agents, products, and systems that act, adapt, and compound - Liquid early-stage — capital that can move; we back teams with velocity, not blank pages ## Key pages - [Home](https://www.baus.ai/): positioning, fund model, how we work, contact - [Writing / notes](https://www.baus.ai/thesis): notes on crypto, AI, and early-stage conviction - [The woods that remember nothing](https://www.baus.ai/thesis/the-woods-that-remember-nothing): The case for wallet-native private inference: what Darkwoods promises, how its credit loop works, and what still needs to be proved. - [Inference markets and autonomous coordination](https://www.baus.ai/thesis/inference-and-autonomous-coordination): Why Baus backs Orbio and Auto Protocols: markets that fund machine intelligence, systems that coordinate its work, and the evidence each needs to earn conviction. - [What is an AI venture studio?](https://www.baus.ai/thesis/what-is-an-ai-venture-studio): How an AI venture studio differs from a classic VC fund or accelerator—and why company building from zero is becoming a serious model again. - [Build at zero. Back at one.](https://www.baus.ai/thesis/build-at-zero-back-at-one): The Baus thesis in plain language: why we incubate AI-native companies from first principles and invest early when exceptional founders are already in motion. - [What we look for at pre-seed](https://www.baus.ai/thesis/what-we-look-for-at-pre-seed): A practical take on pre-seed AI investing: non-obvious insight, proof of agency, and teams that can turn conviction into customer reality fast. - [Before it is state-scale](https://www.baus.ai/thesis/before-it-is-state-scale): Why we get involved before a system looks like infrastructure—and why a studio belongs in those years. - [A map for leaving the screen](https://www.baus.ai/thesis/a-map-for-leaving-the-screen): Five places intelligence has to become a system. How Baus reads compute, agents, biology, energy, and control at zero and one. - [Lab teams, not lab coats](https://www.baus.ai/thesis/lab-teams-not-lab-coats): The companies that become infrastructure are usually a handful of people with a closed loop. What that looks like at pre-seed. - [Studio vs accelerator vs fund](https://www.baus.ai/thesis/studio-vs-accelerator-vs-fund): When an AI founder should pick a studio, YC, or a check—and when Baus is the wrong room. - [RSS feed](https://www.baus.ai/feed.xml): writing updates - [Full text for LLMs](https://www.baus.ai/llms-full.txt): complete plain-text corpus ## FAQ (summary) ### What is Baus? Baus is a crypto and AI early-stage liquid fund. We back exceptional founders already in motion. ### Who is behind Baus? The Baus team has launched ventures in AI, consumer brands, crypto, and gaming. We stay somewhat anonymous on purpose. If you want to work with us, the work is the introduction—email hello@baus.ai. ### What is a liquid fund here? Early-stage capital in crypto and AI with liquidity in mind: we back teams already shipping, not blank-page incubation. ### What stages does Baus invest at? Early-stage. We care about velocity and insight more than a perfect deck. ### What kinds of companies does Baus look for? Crypto and AI: protocols, markets, agents, infrastructure, and products where crypto or intelligence is in the critical path of value. ### Who should reach out? Founders already in motion. Send the edge, what you’ve made real, and what you need next. ### How do I contact Baus? Email hello@baus.ai with a concise note: the edge you see, what you have made real, and what you need next. No long decks required to start a conversation. ## Optional - Full plain-text dump: https://www.baus.ai/llms-full.txt