Agent accountability platform

Why did the agent do that?

Tracel uses mechanistic interpretability to trace every consequential AI agent decision back to the exact model computations that produced it — so your team has auditable answers, not just logs.

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01 / Decision tracing

Every choice, explained

Every branch an agent takes is recorded as a first-class trace, linking the final action to the exact attention heads and MLP activations that drove it.

02 / Interpretability evidence

Not logs — proofs

Traces are backed by mechanistic evidence extracted directly from the model's internal state, not post-hoc narration. Understand the real cause, not a best guess.

03 / Audit-ready records

Compliance you can show

Export structured trace bundles that satisfy enterprise audit requirements. When a regulator or client asks, you have a verifiable record, not a shrug.