MRO intelligence, edge avionics, and UAV autonomy — civil-first
Aerospace AI operates under the most demanding software assurance standards in any industry. We help MRO operators, avionics suppliers, and UAV makers deploy AI that is architecturally compatible with DO-178C, DO-254, and ARP4754A — from MRO copilots over technical manuals to automated NDT visual inspection and edge inference in avionics. Our focus is civil aviation and UAV; military programmes are out of scope.
We design aerospace AI with the assurance pathway in mind from day one — separating AI-assisted (information only) from AI-commanded (safety-critical) functions, choosing architectures that admit verification under DO-178C, and building the data infrastructure that feeds retraining without compromising model traceability. Capability-only engagement: we bring transferable primitives from industrial edge AI and apply domain expertise; we do not claim existing aerospace operator contracts.
Where we engineer — from perception to mission, on the aircraft and on the ground. Certification-aware throughout (see the note above).
Vision-based localisation and obstacle awareness where GNSS is denied or unreliable.
Fusing camera, LiDAR, IMU and radar; perception on-board within power and thermal budgets.
Vision-language models on the aircraft for scene understanding, behind a deterministic safety boundary.
Route, task and contingency planning with human-on-the-loop oversight.
Automated defect detection for assets, and maintenance models for the fleet itself.
Fleet coordination, ground-control integration and telemetry pipelines.
Sim-first validation, digital twins, and AI for NDT and assembly quality.
Hyperion provides architecture, engineering and production-readiness support. Formal aviation certification activities require appropriately qualified specialists and approved processes.
Based on common industry needs
Twelve to twenty-four weeks to risk-classify your AI systems, support the provider-led conformity assessment and engineer the evidence, produce the Annex IV technical documentation, and stand up post-market monitoring — with special depth on the high-risk categories that apply to autonomous, industrial, and robotics deployments
The Full-Stack Physical AI layers most relevant to this sector.
A 30-minute call is enough to diagnose whether your AI initiative is stuck for industry-specific reasons — and what to do about it.