AI Strategist · Fractional CAIO · Forbes Tech Council
Physical AI,shipped for the real economy.
Hyperion advises, builds, and trains for enterprises, SMEs, startups, and public-sector institutions — from factory floors to city infrastructure, wherever machines, data, and operations meet. I proved the method with Auralink: 1.7M lines of code co-developed with AI, ~20 autonomous agents resolving 78% of incidents without human intervention, peer-reviewed on arXiv.
20+
Years Shipping AI
100M+
Users on Systems I Built
50+
AI Projects Shipped
Step 1 of 230-second triage · 2 questions
Trusted by
Startups I advised
Recognition
Recognized by the institutions I serve.
Governments, research labs, and industry bodies. Not badges I paid for.
Forbes Technology Council
Member since 2021. Published on AI strategy, production deployment, and the pilot-to-production gap.
French Government AI Ambassador
Selected for 'Osez l'IA.' Mandate: accelerate industrial AI adoption across French manufacturing.
Berkeley SkyDeck Advisor
Key Advisor since 2022. Mentored 30+ AI and deep-tech startups on product, go-to-market, and architecture.
La French Tech Athens Board
Board member bridging French and Greek technology ecosystems.
Senior Executive AI ThinkTank
Contributing to enterprise AI adoption frameworks and C-suite decision-making standards.
FranceNum Activateur
Listed expert by France Num — the government's national initiative for SME digital and AI adoption.
Five stages. Three seats. One method.
Domains I serve
Where AI meets the real world.
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.
Automotive & mobility
Connected vehicles. EV charging. Software-defined vehicles. Real-time perception and edge inference.
What You Get
Connected-vehicle AI platform serving 4M+ users (NissanConnect)
Android Automotive integration — world's first Google-built-in
EV charging platform (AuraLinkOS): 400+ microservices, ~20 AI agents
Fleet telemetry with real-time anomaly detection
ADAS data pipelines and edge perception stacks
See Relevant Experience
Led NissanConnect Services across 39 countries. Built AuraLinkOS from zero to production. Vectis AI: a vehicle intelligence platform running on my own stack.
Questions, answered honestly.
Three differences. (1) Physical AI first — systems that control factories, vehicles, and grids, not chatbots. (2) Every engagement follows the same lifecycle: five stages from Discover to Run, with capability transfer built in. (3) I write the code. I built AuraLinkOS (400+ microservices, ~20 AI agents) in two months, plus seven other production ventures. Ask any other consultancy to show you code they shipped — I'll show you eight platforms in production.