AI user simulations that automatically test new features, surfacing bugs, UX friction, and performance issues before launch.
Sanctum builds high-fidelity user models from actual session recordings and synthetic data to simulate real users interacting with new features. For every pull request, it spins up sandbox environments, runs these agents through critical flows, and captures frontend and backend telemetry to pinpoint bugs, regressions, and UX problems. This gives product and engineering teams continuous, automated QA that mirrors real user behavior, enabling faster, safer releases.
Converts real user sessions into runnable simulations that automatically exercise new features in ephemeral environments, creating an automated QA workflow that runs on every change and reports issues back to teams.