Industrial-grade. Embedded at the edge. Sovereign by default.
Hyperion advises, builds, and trains enterprises, SMEs, startups, and public institutions to ship Physical AI that actually runs — from factory-floor Industrial AI to edge-deployed Embedded AI, built on sovereign models (Mistral, open-source, on-prem) and frontier-capable when your use case demands it.
Delivered by an AI-native practice — one operator orchestrating a fleet of AI agents, proven across 10 AI ventures.
Trusted by
Governments, research labs, and industry bodies. Not badges I paid for.
Member since 2021. Published on AI strategy, production deployment, and the pilot-to-production gap.
Selected for 'Osez l'IA.' Mandate: accelerate industrial AI adoption across French manufacturing.
Key Advisor since 2022. Mentored 30+ AI and deep-tech startups on product, go-to-market, and architecture.
Board member bridging French and Greek technology ecosystems.
Contributing to enterprise AI adoption frameworks and C-suite decision-making standards.
Listed expert by France Num — the government's national initiative for SME digital and AI adoption.
Drop a photo of a plant, warehouse or lab and our vision model reads it on the spot — surfacing automation candidates, safety risks, and a 90-day pilot you can take to your team. It runs on our sovereign Mistral / Pixtral stack, with your data kept in the EU.
This is a real, live demo — it analyses the photo you upload, not a canned result. No sign-up to see the output.
How the demo works
1Drop your photo
A plant floor, warehouse or lab shot — JPEG, PNG or WebP, up to 5 MB.
2Pixtral reads it live
Mistral's Pixtral vision model analyses the scene in seconds — no upload to US clouds.
3Get a readiness report
Automation candidates, safety observations, and a concrete 90-day pilot plan.
Sovereign by default — Mistral / Pixtral, EU-resident. No fabricated results: the report is generated from the photo you provide.
Five stages. Three seats. One method.
Eight sectors. Each one picked because I've either shipped production systems there, or built tools in that vertical. No decks from domains I don't understand.
Connected vehicles. EV charging. Software-defined vehicles. Real-time perception and edge inference.
Led NissanConnect Services across 39 countries. Built AuraLinkOS from zero to production. Vectis AI: a vehicle intelligence platform running on my own stack.
Three commercial doors into the method. Pick the one that matches where you are.
Discover
You're exploring AI, or restarting after a pilot stalled. I audit what's real, name the problem, and write the plan.
Build · Ship
Your pilot works in demos. Production is where it dies. I architect, build, and launch — on a 90-day clock.
Govern · Run
Your AI is live. It needs to stay live, get better, and eventually run without me.
Five stages. Three seats. One partner who writes the code.