Netherlands · Delft
Hyperion helps Dutch robotics, industrial-automation, mobility and energy teams turn technically promising systems into dependable products.
Working languages: English and French.
Each of these is a decision nobody currently owns end to end. Engineering can keep progressing while the decision stays open.
A cell, a vehicle or a line performs under chosen conditions. Nobody has written what the complete product must do for the customer who has to buy, operate, support and trust it.
Expert tuning, operator intervention, bespoke integration and unpriced support keep the pilot alive and never appear in the unit economics.
Field boundaries, service model, safety envelope and update strategy surface after the expensive commitments are already made.
Four functions each own a part. The trade-off between them belongs to nobody, so it is resolved late and by default.
A bounded review that settles one consequential product decision with evidence. Two to three weeks. You receive an executive decision memorandum, an evidence and risk map across the six lenses, and a prioritised 90-day plan: proceed, redirect, partner, pause or stop.
Explore the Product Decision ReviewEmbedded product and portfolio leadership when you need a senior owner now but not yet a permanent executive. Product strategy, portfolio, roadmap, customer and operator value, product economics, prioritisation, productization and go-to-market — inside an explicit executive mandate with a written stop condition and handover owner.
Explore the Product Operating PartnerWhere the ownership gap sits beside product rather than inside it, a mandate may extend to AI transformation / Fractional Chief AI Officer scope — AI portfolio priorities, operating model, build/buy/partner decisions, evaluation, governance and measurable scale-or-stop decisions — or to Interim CTO responsibility for Physical AI architecture, engineering direction, reliability, security and production readiness. The title follows the ownership gap; the method remains one integrated product system.
Where Physical AI product decisions are consequential and the field evidence is hard to get.
Robotics teams moving from a working prototype to a product an operator can run without the research group in the room.
Autonomy, perception and terminal automation, where degraded conditions and safety cases decide what can be deployed.
Intelligent equipment and high-mix production, where product architecture and serviceability decide unit economics.
Software-defined charging and grid-edge systems — the domain of the founder's ABB E-mobility career and of the public preprint.
Vision, manipulation and autonomy in variable biological environments, where the acceptance bar is operational, not benchmark.
Precision systems where an AI-enabled subsystem must meet an existing reliability and qualification regime.
Teams whose model works and whose product, pricing and operating boundary are still open questions.
Product and platform organisations introducing AI inside explicit product, update and safety boundaries.
Each item is labelled for what it is. Client work, founder career, public appointment, public research and internal R&D are different classes of evidence and are never blended.
Every engagement is written down before it starts.
Hyperion is an independent practice registered in France and operated from Delft. It does not resell hardware or software, takes no vendor commission, and does not provide legal advice, certification or conformity assessment.
Thirty minutes to identify the decision, the missing evidence and whether Hyperion is the right mandate — or to say plainly that it is not.