How the work gets done — and why you can trust it.
Hyperion is a founder-led Product Management practice. Mohammed is the named accountable product leader on every engagement; AI-assisted tools help collect, structure, compare and draft from approved sources without ever owning the work. Here is exactly how that works, what stands behind it, and where the limits are.
Discuss your product decisionStart with a short decision brief; direct booking remains available on the contact page.
The delivery model
The founder signs; agents assist — never the inverse.
One named accountable product leader
Mohammed owns each engagement end-to-end as the accountable product leader — from framing the decision through to the evidence that closes it. Not a rotating bench of associates.
AI-assisted tools that assist, never own
AI-assisted tools collect, structure, compare and draft from approved sources at a scale one person could not reach unaided. Mohammed reviews, reworks and signs every deliverable before it ships and retains responsibility for the recommendation. A passing automated check is necessary, never sufficient.
Boundary-defined and customer-controlled
Data sensitivity, processing region, latency, licensing and exit constraints are decided before a provider is selected. Depending on the workload, the result may be an EU regional endpoint, customer cloud, edge or self-hosted deployment. A provider's nationality is never treated as proof of residency.
Co-delivery when scope exceeds one person
When an engagement is larger than one person can responsibly own, that is said before commitment. Engineering capacity comes from your team or from specialists named in scope; there is no bench.
How to read the evidence
Hyperion distinguishes clearly between founder track record, proprietary reference implementations, published research, illustrative engagement playbooks, and verified client outcomes — each labelled for what it is, so you can weigh it accordingly. You can inspect a complete fictional worked decision before any conversation; a paid Product Decision Review on your own decision remains the most direct test.
Proof through inspectable work
Auralink is Hyperion-authored Physical AI research reference. Its architecture and evaluation work has been exercised in simulation and bounded environments, exposing the product, systems, software, safety and operating decisions that a serious field programme must resolve. It is not client work, a certified product or evidence of a live deployment; it is inspectable technical practice.
Accountability is not only about who owns the work — it is about being honest when the work is not delivering.
Evidence gate before the next commitment
Each scoped initiative starts with an explicit decision horizon and graduation criteria. At the gate, the evidence supports the next commitment, a bounded change of direction, or a stop. A pilot does not advance merely because it exists.
Governance & EU AI Act alignment
Work is shaped to be defensible: documentation, traceability and EU AI Act readiness are built in, not bolted on. Hyperion translates applicable product, safety and governance constraints into requirements, evidence plans and decision gates; formal legal, certification and conformity assessments remain with qualified professionals and authorized bodies.
Standards-aware for safety-critical work
Where systems touch vehicles, aircraft or production lines, evidence is shaped by ISO 26262, DO-178C and IEC 61508 culture. Formal functional-safety assessment and certification remain with qualified specialists and authorized bodies; Hyperion translates their constraints into product requirements and release evidence.
Ways of working
Remote by default; on-site work is available and scoped separately.
Client-specific deliverables are licensed to you under the Terms of Sale: on full payment, a perpetual, non-exclusive licence to use them for your internal business purposes. You may share them in confidence with your professional advisers, auditors, insurers, investors or lenders, and with suppliers you engage to implement or continue the work, each bound by a duty of confidentiality. Where a deliverable is to go into a product or service you supply to others, the wider rights are set out in the proposal. Hyperion retains its pre-existing methodology, templates and tools.
Fixed, predictable base scopes where possible — the Product Decision Review is the clearest example.
Plain-language reporting aimed at the people who decide, not just the people who build.
Working together — the full picture
Contract mechanics
Liability and payment terms are set out in full in the published terms of sale — read them before you sign anything. If the founder is unable to carry on an engagement, for example because of illness or incapacity, for more than ten consecutive working days or in a way that makes an agreed date impossible to keep, Hyperion tells you as soon as it is able to and gives you access to the working records as they stand, with no promise that they are complete and without removing Hyperion's responsibility or the warranties of section 9 of the terms for the work completed and paid for; you may suspend or end the engagement immediately, without the 30-day notice, fees paid in advance for work not performed are refunded, and no substitute consultant is promised.
This page is not a claim about process — it is a live exhibit of it. Every line below is a fact about the infrastructure serving this page right now, not a description of an ideal.
Every hosted AI path in the deployed site and its content automations is Mistral-only through the EU-restricted server adapter. The owner-authorized JARVIS, Search and Product Council paths are active; deterministic tools continue to work if remote AI is unavailable.
Primary hosting is in the EU (France), via OVHcloud — the same posture published in the legal notice.
Every page response carries a fresh, per-request Content-Security-Policy nonce — never reused across requests.
Automated checks verify site copy against a claims register, a design-era gate, and a voice charter before any change can be pushed.
All 8 published locales are checked for structural parity by an automated gate before every release.
Deploys reload a 4-instance process cluster progressively: the old version keeps serving traffic until the new one is healthy. This is designed to limit interruptions; uninterrupted availability is not guaranteed.
Secret scanning runs in CI over every commit range pushed to main, and locally before each commit where the scanner is installed.
This page was built from commit c056199d.
The same CI-enforced discipline, evidence gating and EU-endpoint, single-provider inference I would ask of an industrial deployment, shown here on infrastructure you can inspect.
See the work before you commit.
Send the product decision, deadline and evidence you have, or start with a paid Product Decision Review. Either way, you assess the delivery model on real terms before any larger engagement.