Agent Observability & Evidence
Control is not enough if the evidence comes from the agent itself. These products create an independent record of execution so teams can verify what the agent actually did.
- Companies
- 8
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Companies
- Agnys
Agnys is an evidence and observability layer for AI agents that records model calls, tool use, file edits, approvals, and other side effects into a tamper evident session history for review and…
- Asymptote Labs
Asymptote builds runtime infrastructure for AI agents that gives security and engineering teams visibility, control, and a record of agent activity.
- Fact0
Fact0 provides a tamper evident audit layer for AI agents that records tool use and execution history so teams can prove what an agent actually did.
- Lumbra
Lumbra builds an operating system for AI agents in high consequence environments, with tools to orchestrate agents and trace their work.
- Paper Compute
Paper Compute builds agent telemetry and evidence tools that capture what AI agents actually did, so teams can search, replay, audit, and reuse real sessions.
- Raindrop
Raindrop is a platform that monitors AI agents in production, traces what they actually do, and helps teams detect failures, investigate root causes, and test fixes before rollout.
- Tenet AI
Tenet AI builds an auditability platform for AI agents that records decisions, reasoning, and execution evidence for regulated teams.
- Vaara
Vaara builds software that sits in front of AI agents, gates each tool call, and writes a tamper evident execution record so teams can verify what the agent actually did. (vaara.io)