Saphira AI

Saphira AI provides AI agents for engineering complex physical systems, helping teams investigate failures, reason across system evidence, and turn risks into traceable requirements and validation plans. It addresses the problem of connecting engineering context—such as designs, requirements, tests, and field data—into reviewable, decision-ready outputs for safety-critical work.

The platform organizes sources into a linked, versioned system context and an assurance graph, with agent workflows that investigate, reason, and propose. Named capabilities include failure and incident investigation (RCA, FMEA, corrective action), safety and security analysis (HARA, TARA, hazard analysis), requirements and change impact, and validation and test planning (V&V plans, simulation, coverage). Human review remains in control, with cited reasoning, expert approval of consequential analysis, and continuous impact tracking when changes occur. The platform connects to existing sources of truth.

Saphira AI is aimed at teams building physical AI systems across construction, humanoid, and industrial robotics, as well as engineering, product, and leadership stakeholders involved in safety and certification work. Teams can start with a single workflow and expand using the same system context. The pages describe starting a conversation with the team rather than specific packaging or pricing details.