Building trust infrastructure
for the AI era.

Our Mission

AI agents are moving from demos to production. They're drafting legal documents, processing insurance claims, managing customer relationships, and executing financial transactions. The capabilities are extraordinary.

But there's a problem: these agents hallucinate. They make confident mistakes. They take irreversible actions. And when they do, there's no audit trail, no human oversight, no way to understand what went wrong.

We started Attest because we believe the answer isn't to slow down AI deployment—it's to build the infrastructure that makes deployment safe. Validation. Human oversight. Compliance. Continuous improvement.

Our mission is to become the trust layer for autonomous AI. The infrastructure that every company needs to deploy agents with confidence.

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Our Approach

We take a pragmatic view of AI safety. We're not trying to solve alignment at the frontier—we're building practical tools that make today's AI systems accountable and controllable in production environments.

Our platform sits between AI agents and the real world. Every decision can be validated against policies. High-risk actions can be escalated to humans. Everything is logged for audit. And human feedback flows back to improve the system over time.

We believe this approach—human-in-the-loop oversight with continuous improvement—is the right foundation for deploying AI safely at scale.

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Our Values

Trust through transparency

We build systems that create accountability, not obscurity. Our customers always know what their agents are doing and why.

Pragmatic safety

We focus on practical tools that work in production today, not theoretical frameworks that might work someday.

Enterprise-grade reliability

When companies trust us with their AI oversight, we take that responsibility seriously. We build infrastructure that doesn't fail.

Continuous improvement

We believe the best safety systems learn and improve over time. Human feedback is a feature, not a crutch.