The company is building a compliance and GRC automation platform that takes a fundamentally different architectural approach from the API-integration model that dominates the category. Where incumbents like Vanta, Drata, and Secureframe rely on connecting to dozens or hundreds of SaaS systems to pull compliance evidence — an approach that works reasonably well at the SMB and mid-market level but breaks down structurally at enterprise scale — this platform deploys AI sensors directly onto the workstations of the operators performing control activities. The sensors observe behavior in context: when an analyst reviews access logs, runs a vulnerability scan, completes a quarterly access review, or performs any of the dozens of recurring control tasks that auditors will eventually need evidence of, the sensor captures screenshots, behavioral data, and contextual metadata, and uses AI to summarize and categorize what occurred. The result is automated evidence collection for the substantial majority of the work that compliance teams traditionally perform manually — and, more importantly, evidence that reflects what people actually did rather than what an API integration was able to infer.