Physical AI product leadership by Mohammed CherifiFor founders and product leaders with a Physical AI pilot at a decision point.
The pilot works. Who owns the product?
I own the product decision, the next evidence-backed milestone and the build that proves it — including the call to stop. Your team owns what follows.
17+ years · French Government AI Ambassador · Forbes Technology Council Member
The Owned Product Thesis
A working model is not yet an owned product.
Physical AI crosses software, hardware and the real world. Someone must connect intended use, customer value, system behaviour, operational risk and the authority to decide. When that ownership is missing, the pilot can keep improving while the product remains unresolved.
- No owner of the acceptance bar. No one has the authority to define what the complete system must prove before release — or to stop it when the evidence is insufficient.
- The pilot absorbs the work. Engineering improves the model while deployment, support, recovery, human override and failure handling remain outside the demonstration.
- Product decisions arrive late. Customer, operational, safety and regulatory questions surface after architecture and integration choices have become expensive to change.
The pilot works. The system doesn't.
The gap is architectural, not algorithmic. Closing it requires one owner who can connect the decision to the evidence and the system.
DimensionDemo / PilotProduction
Scale
One device
A whole fleet
Environment
A controlled demo
Variable real-world conditions
Recovery
Manual recovery
Automated recovery & rollback
How to engage
One decision. One milestone. Ongoing product leadership.
Three independent ways to enter — not a sequence every buyer must follow.
You need to decide what happens next.
Product Decision Review
Make one consequential product decision with evidence.
- Hyperion owns
- The independent assessment, the decision recommendation and the reasoning behind it.
- What you receive
- An executive decision memorandum, a risk and feasibility assessment, and a prioritised 90-day plan. The recommendation may be to proceed, redirect, partner, pause or stop.
- Duration
- Two to three weeks
You need someone to lead the next milestone.
Product Leadership Program
Lead one Physical AI product from its current state to the next evidence-backed milestone.
- Hyperion owns
- The milestone, the decision gates and the targeted hands-on work needed to address the agreed blockers.
- What you receive
- Implemented production-critical work, acceptance evidence, a decision record, operational documentation and a defined handover to your team.
- Duration
- Milestone-based, with scope and acceptance criteria agreed in writing.
You need senior product ownership without a full-time hire.
Product Operating Partner
Fractional CPO for Physical AI
Embedded product and portfolio leadership for organisations that need continuing senior ownership.
- Hyperion owns
- Product priorities, operating cadence, production gates, launch governance and decision quality within the agreed mandate.
- What you receive
- A coherent product and portfolio direction, explicit decision rights, recurring operating reviews and capability transferred to your team.
- Duration
- A recurring part-time mandate with a defined monthly cadence and quarterly operating reviews.
Start with the smallest useful mandate.
Every engagement has a written scope, an evidence gate, stop authority and a handover owner. A Product Decision Review stands on its own: you may stop, redirect or take its outputs elsewhere.
Operating contract
Decisions, evidence and an explicit exit.
Accountability requires authority. Before work begins, Hyperion records the executive sponsor, named internal counterpart, decision rights, acceptance criteria, stop authority and handover owner.
- Name the decisionDefine what must be decided, who has authority, which constraints apply and what consequences follow from a proceed or stop decision.
- Define the evidenceSet the acceptance criteria, evaluation method, failure modes, operational proof and unresolved assumptions before the build expands.
- Lead and build to the gateI lead the work and build the targeted production-critical parts needed to reach the agreed evidence gate. Decisions change when the evidence requires it.
- Transfer ownershipCode, decisions, acceptance evidence, documentation, runbooks and operating knowledge transfer to your team against an explicit exit condition.
Every mandate names
- Executive sponsor
- Internal counterpart
- Decision rights
- Acceptance criteria
- Stop authority
- Handover owner
You work directly with Mohammed. Decisions, code, runbooks and operating knowledge transfer to your team — not retained as a dependency.
Every decision is made with its downstream production, deployment and operating consequences in view.
Regulatory duties become product requirements.
Mohammed has tracked the EU AI Act since 2021. Article 50 applies from 2 August 2026. Where it affects the product, relevant transparency duties are translated into product requirements, interfaces and release evidence. Hyperion does not provide legal advice or a conformity assessment.
Runnable · inspectable · publicly checkable
Evidence, labelled for what it is.
Run the demonstration. Inspect the reference implementation. Read the paper. Each item states what it proves, its maturity and its limitations.
Reachy Mini + SO-101 imitation-learning bench
Measured · simulated · internal R&D
Inspect the measured feasibility work behind the bench — physical sensing, teleoperation, evaluation and learned behaviour. Every figure is labelled measured, simulation or dry-run.
Inspect the measurementsAuralink
Pre-production · owned reference implementation · internal R&D
Auralink is Hyperion's owned pre-production reference implementation. Inspect the architecture, control boundaries, operational decisions and evaluation approach behind the method.
Inspect AuralinkarXiv:2603.08736
Public paper · publicly checkable
Read Mohammed Cherifi's public paper and inspect its argument, architecture and cited basis directly.
Read the paper
These are Hyperion-owned research and engineering artefacts. They are not customer deployments or commercial outcome evidence.
Mohammed Cherifi
Every engagement is conducted personally by Mohammed. The person you meet is the person who frames the decision, leads the work and builds within the agreed scope.
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)
- 17+ years in industry
Founder career — not Hyperion clients
These marks represent founder career, advisory work, memberships and affiliations. They do not represent Hyperion clients.
Advisory work, not Hyperion clients
Memberships and affiliations.
Appointments and bodies Mohammed belongs to — not client relationships.
Fit
A fit when the product and the decision are real.
A good fit when you have
- A defined product, pilot or portfolio
- A consequential next decision
- An executive sponsor
- Access to technical and operational stakeholders
- A willingness to assign decision rights
- Acceptance criteria that can be made explicit
- A team that will retain ownership after the engagement
Not a fit for
- Generic AI ideation
- Pure research without production intent
- Undirected staff augmentation
- Demand-generation or marketing work
- An implementation request with no product authority
- A guaranteed commercial, launch or deployment outcome
What I build, and what remains outside the mandate
I lead and build the production-critical work inside the agreed scope. Your team remains the enduring owner and delivers the broader system with any required specialists. Legal advice, conformity assessments, penetration tests and full functional-safety assessments remain with qualified providers.
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.
Name the next decision. Put a senior owner behind it.
Start with a 30-minute fit call. Hyperion will tell you which engagement fits — or whether none does.
I lead and build every engagement personally, so Hyperion confirms capacity before accepting a scope.
30 minutes · no obligation