Public research reference · Hyperion-authored
Auralink
Auralink is a Hyperion-authored Physical AI research reference. Inspect the architecture, control boundaries, operational decisions and evaluation approach behind the method.
Inspect AuralinkAI 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.
Product leadership for robotics, autonomous systems and intelligent industrial products · Based in Delft · Working across Europe
The product operating bridge
One accountable bridge from business intent to operated product.
Hyperion translates customer value, economics and portfolio choices into product, architecture and development decisions—then brings technical, delivery and field evidence back into scope, investment and customer commitments.
- 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.
Explore the Product Decision ReviewA technically successful pilot is not repeatable.
One site went well. Nobody can yet state what has to be true for the next ten to go the same way.
Explore the Product Leadership MissionHardware, software, AI and field teams are making separate product decisions.
Each decision is defensible on its own. Together they no longer describe one product.
Explore the Product Leadership MissionThe CTO is carrying product ownership by default.
Product direction is settled in engineering reviews because nobody else owns it.
Explore the Executive Product LeadershipA launch, investment or stop decision is due.
The date is fixed. The evidence behind go, redirect, sequence or stop is not yet assembled.
Explore the Product Decision ReviewThe company needs temporary senior product ownership.
The mandate is real, the hire is months away, and the decisions cannot wait for it.
Explore the Executive Product Leadership
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.
Explore the Product Decision ReviewDuration
Two to three weeks.
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.
Explore the Product Leadership MissionDuration
Milestone-based, with scope and acceptance criteria agreed in writing.
Ongoing leadership
Product leadership is needed now; a permanent executive is not yet in place.
Executive Product Leadership
Fractional CPO · Interim Head of Product
Executive ownership across strategy, discovery, development, launch, portfolio and transition.
Explore the Executive Product LeadershipDuration
Fractional CPO or Interim Head of Product; authority, cadence and capacity agreed in writing.
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.
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 GBMeasured
- Simulation success (LIBERO-Spatial) — base → fine-tuned
- 0% → 96%Simulation
- On-robot cognitive benchmark (12 scenes) — perceive · understand · interpret
- 12 / 12On-robot, dry-run
These are Hyperion-owned research and engineering artefacts. They are not customer deployments or commercial outcome evidence.
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
Automotive & Connected Mobility
One product boundary across vehicle, platform, market and post-sale operation
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. Business and technology stay connected.
Five gates translate customer, business and portfolio intent into development decisions—and return technical and field evidence to scope, economics and commitments. Six lenses test the evidence at every gate.
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.
Selected Insights
Practitioner writing, not vendor marketing.
Deep Tech · Flagship
Physical AI, Operational AI and Generative AI: A Product Taxonomy
Classify an AI product by the authority it receives, the environment it changes and the evidence it needs—not by the model family in its architecture diagram.
By Mohammed Cherifi · July 1, 2026
Mohammed Cherifi
You work directly with Mohammed — a product leader across connected platforms, mobility, industrial systems and AI, now focused on Physical AI products.
17+ years
product marketing at ABB E-mobility on EV-charging hardware and charging software
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