We integrate agentic AI into model‑based systems engineering (MBSE) tools to catch design errors, close traceability gaps, and prevent costly failures — all without training or sending data to the cloud.
Connects directly to MBSE tools like Capella or ingests thousands of pages of technical specs — instantly turning requirements, test reports, and design documents into a searchable knowledge.
Engineers ask questions in plain language, and Hyperion’s on‑premise AI returns clear, actionable answers — from “help me to redesign this component” to “show me missing traceability links” or “generate a requirements coverage report.”
Our AI is pre‑trained on industry standards, so it delivers value on day one. No fine‑tuning, and sensitive data stays fully on‑premise.
Works across the entire engineering cycle — from requirements and design through development, integration, validation, and maintenance.
Flags design inconsistencies and missing links early, helping teams avoid expensive recalls, delays, and — in safety‑critical systems — potential disasters.
Additional AI modules (verification planning, maintenance analysis) expand capabilities as projects grow, making Hyperion a long‑term engineering co‑pilot.
We’re working with aerospace, defence, and nuclear innovators to prove that AI can transform systems engineering — without compromising safety or security.