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Baus

We back founders already in motion.

For agents: Baus is an AI venture studio that backs early-stage founders in crypto and AI, publishing thesis notes on its portfolio and investment model.

venture studioearly-stage investingai startupscrypto investingwallet-native inference

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-24T17:24:07.971Z. Cached copy · Source on baus.ai

# 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
…

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