We, Ansgar and Amean,
are building Confidential AI in San Francisco.
Confidential AI is software for secure, private, verifiable AI.
Built with Trusted Execution Environments (TEEs) and Zero-knowledge Cryptography (ZK), Confidential AI secures model weights and agents, delivers end-to-end private inference and training, and provides model data provenance.
We are collaborating with Anthropic.
We have $1.5M ARR in customer Letters of Intent (LOIs).
TEEs?
Team
- Ansgar built and sold three companies used by 200 million people. His most recent, Arc, was a peer-to-peer CDN in the browser with 100M monthly users, acquired by Protocol Labs. He also authored the most popular print debugging and URL libraries in Python.
- Amean built two companies, pioneered computer vision pose detection on mobile, and was #1 on Egypt's International Math Olympiad (IMO) team. He also built Canada's most popular COVID tracker, with 100k users.
- Together, Amean and Ansgar built the world's largest decentralized CDN, Saturn, on Filecoin at Protocol Labs. Saturn grew 10x faster than
Cloudflare, 7x faster than Fastly.
- We ship. See our Githubs.
Vision
- In a decade, all software will run in TEEs. No slowdown, secure, verifiable, and private.
- AI is the path of fastest growth. Then regulated industries: healthcare, finance, defense, law, and web3. Then everyone else.
- Confidential AI is the foundation for that world.
Why Now
- TEEs are ready. GPUs now have TEEs. Modern TEEs run with near-zero overhead.
- AI is moving to TEEs. Anthropic is first. The rest next.
- The throne of TEEs lies empty. No trusted compute leader.
- Laws drive TEE adoption. SB-53 requires AI companies to implement security best practices. TEEs will be that best practice.
Why We'll Win
- Our work in crypto and distributed systems taught us TEEs. Now we bring that to AI.
- AI is the path of fastest growth. Already working with Anthropic. Soon every AI company.
- Modern TEEs are virtual machines. Ansgar built hypervisors at Stanford.
- Cryptography powers TEEs. At Protocol Labs, we lived cryptography. Including pivotal ZK.
- TEEs need open source standards. We will author them. Open source vets; 15k GitHub stars.
Risks
- Vulnerabilities crack TEE encryption.
- Chip makers, governments backdoor TEEs.
- Chip makers drop TEEs.
Raise
- $6M–$7M.
- Hire engineers, acquire GPUs.
- We want investors that:
- Will connect us with customers.
- Help us hire top talent.
- Have deep expertise in AI, infra, and/or security.
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