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.
Mohammed has led AI work inside
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.
Diagnose (D) · Ship (E · P · L) · Own (O · Y)
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.
D · Diagnose
You're exploring AI, or restarting after a pilot stalled. I audit what's real, name the problem, and write the plan.
E · P · L · Engineer · Pilot · Launch
Your pilot works in demos. Production is where it dies. I architect, build, and launch — on a 90-day clock.
O · Y · Optimize · Yield
Your AI is live. It needs to stay live, get better, and eventually run without me.
Six phases. Three seats. One partner who writes the code.