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AI PRODUCT MANAGEMENT FOR PHYSICAL AI

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.

Three engagement families · four buyer doors

Decide. Lead. Own.

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.

    Duration

    Two to three weeks.

    Explore the Product Decision Review
  • Milestone

    You need a senior owner for the next product milestone.

    Product Leadership Mission

    Senior / Principal Product Lead

    Lead one product, platform, product family or launch to a named evidence gate.

    Duration

    Milestone-based, with scope and acceptance criteria agreed in writing.

    Explore the Product Leadership Mission
  • Ongoing leadership

    You need senior product leadership now, but not yet a permanent executive.

    Executive Product Leadership

    Fractional CPO · Interim Head of Product

    Executive ownership across strategy, discovery, development, launch, portfolio and transition.

    Duration

    Recurring part-time mandate; authority, cadence and capacity agreed in writing.

    Explore the Executive Product Leadership

Start with the smallest useful mandate.

Every engagement has a written decision, evidence gate, authority boundary, stop condition and handover owner. None requires a follow-on engagement.

Decision Lab · runnable · inspectable

Inspect the work, not a wall of claims.

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.

Pre-production · owned reference implementation · internal R&D

Auralink

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.
Conformance
32 conformance cases
Inspect Auralink

Measured · simulated · internal R&D

Reachy Mini + SO-101 imitation-learning bench

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
0% → 96%

Simulation

On-robot cognitive benchmark (12 scenes) — perceive · understand · interpret
12 / 12

On-robot, dry-run

Inspect the measurements

These are Hyperion-owned research and engineering artefacts. They are not customer deployments or commercial outcome evidence.

Relationships · classified

The full relationship ledger.

These marks represent founder career, advisory work, memberships and affiliations. They do not represent Hyperion clients.

Client

  • Schneider Electric logo

Founder career — not Hyperion clients

  • Renault-Nissan-Mitsubishi logo
  • Cisco logo
  • ABB logo

Advisory work, not Hyperion clients

Berkeley SkyDeck Key Advisor (October 2022 – Present)

  • SKYLD logo
  • DONAA logo
  • CARGOFUL logo
  • DASPREN logo
  • TYPELESS logo

Memberships and affiliations.

Appointments and bodies Mohammed belongs to — not client relationships.

  • Forbes Technology Council Member Leader — Tech Consulting Group logo
  • French Government AI Ambassador for Industry — Osez l’IA Initiative logo
  • Berkeley SkyDeck Key Advisor logo
  • La French Tech Athens Board logo
  • Senior Executive AI ThinkTank logo
  • FranceNum Activateur logo

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.

All industries
  • Manufacturing & Industrial Automation

    From a capable cell or model to a repeatable product for real lines and operators

    Open the decision dossier
  • Energy, EV Charging & Infrastructure

    Whole-fleet reliability, field operations and economics—not model performance alone

    Open the decision dossier

Hyperion Physical AI Product System

One product system. Every decision connected.

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.

  1. StrategyIs this the right product opportunity, for the right customer, with a credible path to value?
  2. DiscoveryIs there enough customer, field, technical and economic evidence to justify product investment?
  3. ProductizationCan this become a complete, dependable, supportable and commercially viable product?
  4. LaunchCan the product be sold, installed, accepted, supported and operated responsibly?
  5. 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.

Ambassadeurs IA programme — AI Ambassador appointment ceremony
Osez l’IA — Ambassadeurs IA programme.

Mohammed Cherifi

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)
  • 17+ years in industry
See Mohammed's record

Fit

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.

30 minutes · no obligation