EUROPEAN PHYSICAL AI & INDUSTRIAL AI CONSULTING
Physical AI,from pilot to dependable production.
Hyperion helps industrial, automotive, mobility and energy teams turn promising AI pilots into reliable systems that operate in the real world — across edge architecture, OT/IT integration, production engineering, governance and operational handover.
Start with a 30-minute, no-obligation fit call.
Former product and engineering leader at Renault-Nissan-Mitsubishi, Cisco and ABB · Berkeley SkyDeck advisor.
The Production Gap
A successful demo is not a dependable system.
The demo worked. Production is a different question.
A proof-of-concept impresses in a controlled room. Then it meets real sensors, data drift, latency and edge hardware — and the distance between “it worked once” and “it works every shift” is where most industrial AI stalls.
The model is the easy part.
Sensing and data quality, edge infrastructure, connectivity and OT/IT ownership decide whether a model survives contact with the plant floor, the vehicle or the grid. The system around the model is the hard part.
Reliability, safety and ownership are not afterthoughts.
Failure modes, human override, cybersecurity coordination, monitoring, incident response and a clean operational handover separate a pilot you babysit from a system your team can actually run.
No acceptance criteria, no production decision.
Without explicit reliability targets, governance and an independent readiness assessment, “go to production” is a hope, not a decision — and a multi-site rollout multiplies every unresolved blocker.
This is the work between a promising pilot and a dependable production system — and it is the work Hyperion does.
Pilot vs Production
Why a demo isn't a production system
| Dimension | Demo / Pilot | Production |
|---|---|---|
| Scale | One device | A whole fleet |
| Environment | A controlled demo | Variable real-world conditions |
| Recovery | Manual recovery | Automated recovery & rollback |
| Connectivity | Reliable connectivity | Intermittent or offline |
| Monitoring | No monitoring | Full observability |
| Updates | Ad-hoc deployment | Signed, secure OTA |
| Safety | AI output trusted directly | AI constrained by deterministic safety |
Start here
The Production Readiness Review
A two-week strategic and technical review of one initiative: an independent production decision, a prioritised blocker map and a 90-day action plan — valuable even when the recommendation is to pause or stop.
From €12,000, excl. VATTwo weeks · one initiative · remote by default
50% at booking, 50% before the executive readout.
Start with a 30-minute, no-obligation fit call.
What you receive
- An independent production decision — go, fix or stop
- A prioritised production-blocker map
- An architecture and operational-risk assessment
- A 90-day action plan
- An executive readout
Up to €3,000 of the fee may be credited toward a qualifying Program.
No implementation, model development, certification, penetration test or production guarantee.
How we engage
Review → Build and deploy → Operate and scale
Three engagements, one path from a promising pilot to a dependable production system.
1 · Review
Production Readiness Review
A two-week independent production decision — a prioritised blocker map, an architecture and operational-risk assessment, and a 90-day plan.
From €12,000, excl. VAT
Learn more2 · Build & deploy
Pilot-to-Production Program
A structured program that resolves the blockers the review found and prepares one system for a controlled production rollout.
Scoped quote
Learn more3 · Operate & scale
Physical AI Operating Partner
Fractional CAIO
Ongoing senior production, architecture and governance leadership for organisations running several AI initiatives.
Scoped quote
Learn moreFull-Stack Physical AI
From the Linux kernel to robot intelligence
Trust, Safety & Cybersecurity
Orchestration & Operations
Run, observe and recover a fleet across edge and cloud.
Intelligence & Knowledge
Vision-language-action models, open-weight intelligence and industrial knowledge.
Perception & Robotics
Seeing, mapping, planning and moving in the physical world.
Embedded Platform
The kernel-to-fleet software foundation that makes a device dependable.
Device & Control★ foundation
Sensors, actuators and deterministic control at the physical edge.
The full Physical AI stack — embedded foundations at the base, building up through perception, intelligence and operations, with a trust, safety and cybersecurity envelope around every layer.
Built production systems at
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, mentoring 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.
Talk to Hyperion
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.