Fracxo maps your agents against regulations, compliance obligations, escalation rules and real-world adversarial scenarios — then turns the results into an evidence pack security, legal and compliance teams actually accept.
Re-evaluated automatically when the model, prompts, tools or customer workflow change.
We map your agent against regulations, compliance obligations, escalation rules and real-world adversarial scenarios.
Scenarios produce an Agent Trust Score and an evaluation report built for security, legal and compliance reviewers.
After deployment we watch the agent and re-run evaluations whenever the model, prompts, tools or workflow change.
Enterprise security, legal, compliance and procurement reviews are where AI deals stall. Fracxo turns your agent's risk posture into evidence those teams can sign off on.
Nobody removes all of the risk. We measure it, cut it down, then underwrite the fraction that's left.
That last fraction is the whole idea behind Fracxo. Every evaluation we run becomes risk and loss data — and that data is what lets us price and transfer the residual liability through our own E&O insurance product for AI agents.
Today Fracxo helps a leading cybersecurity company sell its AI Data Security agent to US enterprises — assessing the risks their buyers ask about, before they ask.
Book a 30-minute walkthrough of the Agent Trust Score.