AI PRODUCT MANAGEMENT FOR PHYSICAL AIFull-lifecycle product management for founders and product leaders building robotics, autonomous systems and AI-enabled industrial products.
Physical AI Product Management—from strategy to launch.
Turn a technically promising system into a dependable product.
Work with a Fractional CPO, Interim Head of Product or senior product leader across strategy, discovery, development, productization, launch and transition—for products, product families, platforms and two-sided ecosystems.
17+ years across Cisco, Renault–Nissan–Mitsubishi and ABB · Based in Delft · Working across Europe
Leadership scope
The mandate can start at a decision and extend to the product function.
From an independent expert review to temporary CPO-level ownership, the scope is written around the decision, milestone or transition your organisation actually needs.
Lifecycle
Strategy→
Discovery→
Development & productization→
Launch→
Scale & transition
Product scope
Product→
Product family & portfolio→
Platform→
Digital service→
Two-sided ecosystem
Leadership shape
Independent senior expert→
Senior / Principal Product Lead→
Fractional CPO→
Interim Head of Product
Buyer situations
You are probably here for one of these six reasons.
Each one is a product decision. Engineering progress alone will not resolve any of them.
The prototype works, but the product and the business case are unclear.
The system demonstrates well. What customers buy, at what price, and with what obligations is still open.
Choose one independent decision, one named product or platform milestone, recurring Fractional CPO ownership, or time-bounded Interim Head of Product leadership. Each mandate stands alone.
Decision
You need to decide what happens next.
Product Decision Review
Independent senior product expert
Make one consequential product decision with evidence.
A flagship Physical AI reference implementation, a measured embodied-AI feasibility bench and one bounded client mandate—each classified for what it proves and what it does not.
Auralink is Hyperion's owned pre-production reference implementation. Inspect the architecture, control boundaries, operational decisions and evaluation approach behind the method.
Status
Auralink is Hyperion-owned pre-production R&D awaiting hardware integration.
Evaluation
78% autonomous incident resolution in a controlled-environment evaluation reported in arXiv preprint 2603.08736.
Inspect the measured feasibility work behind the bench — physical sensing, teleoperation, evaluation and learned behaviour. Every figure is labelled measured, simulation or dry-run.
π0.5 full fine-tune — peak memory
68.71 GB
Measured
Simulation success (LIBERO-Spatial) — base → fine-tuned
Appointments and bodies Mohammed belongs to — not client relationships.
Industrial & Physical AI Product Leadership
Three primary markets. Five adjacent sectors. One product system.
Industry fluency is not a list of standards or use cases. It is the ability to draw the physical system, expose where product ownership fractures, and connect operator reality to evidence and economics.
Five gates govern when a product may advance. Six lenses test whether the evidence meets the threshold for the current decision: value, economics, intelligence, architecture, trust and operations.
↺
Cyclical, not a waterfall: evidence, incidents or economics can send a product back to an earlier stage.
StrategyIs this the right product opportunity, for the right customer, with a credible path to value?
DiscoveryIs there enough customer, field, technical and economic evidence to justify product investment?
ProductizationCan this become a complete, dependable, supportable and commercially viable product?
LaunchCan the product be sold, installed, accepted, supported and operated responsibly?
ScaleCan customer value, deployment and economics be repeated across sites, machines, customers and product variants?
The evidence field at every gate
Customer and operator value
Business model and product economics
AI, data, evaluation and human-machine interaction
Hardware, software and system architecture
Safety, cybersecurity, governance, compliance and human oversight
Deployment, operations, product family, partners and ecosystem
Inside the system, DecisionOps keeps each decision current: it names the decision, the evidence threshold, the owner and the next gate. It is a supporting discipline within an engagement, not a separate offer or platform.
You work directly with Mohammed — a product leader across connected platforms, mobility, industrial systems and AI, now focused on Physical AI products.
Cisco → RNM Alliance → ABB → Hyperion
NDS/Cisco video platforms deployed at 100M+ scale · product leadership on Renault-Nissan-Mitsubishi Alliance connected-services programs (Renault OpenR Link, NissanConnect)
A fit when the product, decision and authority are real.
A good fit when you have
A robotics, autonomy, industrial-vision or intelligent-equipment product
A consequential decision or milestone within 3–12 months
An executive sponsor and named internal counterpart
Access to customers, operators, maintainers and realistic field evidence
A willingness to make decision rights explicit
Acceptance criteria that can be made explicit
A team that will retain ownership
Not a fit for
Generic AI ideation
Pure research with no product or field intent
One-off integration without a repeatable-product ambition
Undirected staff augmentation
Implementation without product authority
Legal advice, certification, conformity assessment or a guaranteed outcome
What I build, and what remains outside the mandate
Hyperion owns the product leadership mandate and only the hands-on work explicitly named in scope. Your team retains enduring ownership of the product and broader delivery. Legal advice, conformity assessment, penetration testing and full functional-safety work remain with qualified specialists.
Why not hire?
Hire when the mandate is stable, the role is permanent and you can wait for the right person. Use Hyperion when the immediate decision cannot wait, the permanent role is not yet clear, or you need evidence before adding long-term capacity. The engagement can also define the decision rights and hiring brief your team will retain.
Bring the decision you cannot leave unowned.
In a 30-minute fit call, we will identify the decision, the missing evidence and whether Hyperion is the right mandate — or say plainly that it is not.
Mohammed leads every engagement personally. Scope and capacity are confirmed before work is accepted.