Engineering
Systems engineering infrastructure: requirements, MBSE, simulation, digital twins and verification, with the engineering AI that connects them. The point is not another requirements platform; it is connecting the engineering model to the system that actually inter-operates, acts autonomously and operates in orbit.
Interface
The interoperability platform. Space system interfaces made explicit, machine readable, testable and interoperable across four stable ESA servicing categories: rendezvous and GNC, grappling and docking, fluid couplers, power and data ports. The compatibility model asks six questions: physical, communication, software, semantic, operational and temporal. Outcomes are structured verdicts with the reasoning: Compatible, Partially compatible, Incompatible or Unknown.
Autonomy
Physical intelligence for space: perception, estimation, planning, decision, control and recovery as one pipeline. The goal is systems that sense, reason, act and recover under real mission constraints, not an "AI on spacecraft" pitch.
Flight
Deployable flight technology: flight software, BSPs and drivers, RISC-V and FPGA compute, communications, timing, security and fault management. Technology independent by design: RTEMS, RISC-V and FPGA are choices inside the kit, not the identity of it.
MissionOps
The operational layer: telemetry, commanding, mission planning, FDIR, fleet management, ground integration and space traffic support, in the environment the systems actually live in.
Reference Robotics
The physical validation environment: engineering to simulation to flight to the reference robot to SIL and HIL to mission demonstration. The full stack is proven on hardware before any flight mission.