AI incident investigation for autonomous systems.
Pharion helps engineering teams investigate failures in autonomous robots and other autonomous systems. It reconstructs incidents across fragmented robotics data — ROS / ROS 2, MCAP / ROS bags, telemetry, LiDAR, cameras, IMU, GPS, localization, odometry, planner state, controller state, diagnostics, and system logs.
- 01What happened?
- 02Why did it happen?
- 03What evidence proves it?
- 04How do we prevent it from happening again?
Who it is for
Robotics and autonomy engineers, Heads of Robotics, CTOs, VP Eng, reliability teams, and fleet operators. The site is one story for customers and investors alike: a large investigation problem across autonomous systems, and infrastructure ambition — without a pitch deck section.
The long view
Today, engineers investigate failures by hand. The product is evidence-backed root cause on a reconstructed timeline. The destination is the reliability intelligence layer for autonomous systems: every robot with a memory of what happened, why, and what changed.
Team
Built across robotics, autonomy, and the software that keeps fleets running. Compact on purpose — the investigation is the credential.
- Robotics
- Autonomy
- AI systems
- Software systems
- Engineering infrastructure
Find us
Email, LinkedIn, or a demo — whichever is fastest for your team.
- Emailpharion.founders@gmail.com
- LinkedInlinkedin.com/company/pharion
- Request a DemoTalk with the team about an investigation
- Websitepharion.co
pharion.co