Agentic SOX and audit automation company with more public funding and a broader audit-and-compliance pitch.
YC-backed SOX testing automation platform now acquired by Optro, with strong proof points around automating SOX program work.
AI compliance automation player that competes around audit testing and control workflows, with a wider compliance-tooling posture.
Early moat is workflow switching costs from source-system mappings, prior year audit memory, and auditor-accepted workpaper formats, not a proven data moat yet.
Schema-constrained LLM generation turns tested evidence into PCAOB-style workpapers with traceable conclusions.
An identity-resolution layer reconciles employees, approvals, access rights, and records across HR, finance, IT, and GRC systems.
Computer-use agents collect SOX evidence from enterprise systems and produce source-traced audit workpapers.
Uses browser agents plus direct connectors and a source-traced evidence layer, so the model navigates systems and produces audit artifacts rather than chatting about controls.