Cloud operators see everything
Standard VMs expose your data and code to cloud providers, hypervisor admins and anyone with privileged access.
SCRT Labs builds SecretAI. SecretVMs use Trusted Execution Environments (TEEs) to protect AI models, agents and sensitive data with hardware-enforced guarantees, even from the infrastructure operator.
The challenge
Traditional cloud leaves AI inference, autonomous agents and sensitive data exposed.
Standard VMs expose your data and code to cloud providers, hypervisor admins and anyone with privileged access.
Autonomous AI agents handling credentials and sensitive operations need verifiable execution, not just promises.
HIPAA, GDPR and financial regulations require demonstrable data protection, not security theater.
Our solution
Workloads run inside secure enclaves protected by CPU- and GPU-level encryption (Intel, AMD, NVIDIA). Not even a root user or the cloud provider can see inside.
Products
From managed AI APIs to fully customizable confidential VMs.
Confidential virtual machines powered by TEEs. Run any code, any framework, with cryptographic proof of what is running.
Pre-configured AI models running inside SecretVMs. Private inference with zero prompt logging.
Everything to build, deploy and verify confidential workloads, from CLI to CI/CD.
How it works
Your existing code just works.
Launch a confidential Linux VM inside a hardware TEE from the portal, CLI or API.
Use the CLI to authenticate and deploy your existing workload. No re-architecture needed.
Use remote attestation to prove the exact code, firmware and configuration running in a genuine enclave.
Agentic infrastructure
Agents that can transact, reason and operate, with confidential computing guarantees baked in.
Run autonomous agents in isolated confidential VMs with verifiable integrity, secure key management and built-in MCP server support.
Register agents on-chain, publish their capabilities and let smart contracts interact with them.
Machine-to-machine micropayments with cryptographic receipts, for confidential AI and VM funding.
Who it’s for
Build agents and MCP servers users can actually trust, with private inference and user data isolation.
Process PHI and run diagnostic AI with hardware-enforced privacy.
Run trading, fraud and risk models without exposing IP or customer data.
Verifiable oracles, confidential smart contracts and trustless bridges.
Spin up a SecretVM in minutes, or talk to us about your use case.