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Evidence

Product judgement, backed by inspectable work.

Three forms of proof support it: production-scale product experience, owned systems built and tested directly, and a decision method you can inspect before you buy.

Career provenance, owned engineering and public method are shown separately.

Technical pixel diagram classifying founder career provenance, Hyperion-owned systems and an inspectable public method into three separate records within one evidence register.

Buyer diligence

What the evidence lets you conclude.

Each answers a different diligence question: has he operated at scale, does he still build, and can you inspect how the decisions are made?

How to read these classes

Production
Observed in a live production environment carrying real operational load.
Client-approved
A client relationship and scope the client has approved for public description — no outcome implied unless separately approved.
Pre-production
Hyperion-owned work running end to end but not yet carrying production load — not a customer deployment.
Controlled
Measured under conditions chosen by Hyperion — repeatable, but not a field result.
Simulated
Measured against a simulated environment or workload rather than physical hardware in the field.
Modelled
A calculated scenario from stated assumptions. Not a measurement, not an outcome and never a case study.
Public method
A publicly checkable artefact — preprint, open-source contribution or published method. A preprint is not peer-reviewed.
Career record
Work done by the founder at a former employer, before Hyperion. Those organisations are not Hyperion clients.

Named client mandate

A named client relationship with bounded scope — no outcome or endorsement implied.

  • Client-approved

    Schneider Electric engaged Hyperion Consulting for Software-Defined Platform work.

Founder career track record

Has operated at production scale.

  • Career record

    17+ years

  • Career record

    NDS/Cisco video platforms deployed at 100M+ scale

  • Career record

    Deputy General Manager, Connected Car Services at the Renault-Nissan-Mitsubishi Alliance — product leadership on connected-services programs (Renault OpenR Link, NissanConnect), technology now deployed in 7M+ connected vehicles

Inspect the founder record

Hyperion-owned reference implementations

Still builds systems directly: Auralink.

  • Pre-production

    in-house AI ventures, including Auralink

  • Pre-production

    32 conformance cases

    ACS v0.1 coverage spans reference, safety and federated-operation scenarios. Auralink is Hyperion-owned pre-production internal R&D, not deployed in live infrastructure; a conformance suite is engineering evidence, not a certification.

Inspect the Auralink technical dossier

Inspect the working evidence

The method is inspectable before an engagement.

Inspect the supporting claim record
Client-approved

Named client mandate

A named client relationship with bounded scope — no outcome or endorsement implied.

  • Consultant & Tech Lead, Software-Defined Technologies — Schneider Electric, Innovation & Technology. January to April 2024. Developing a strategic framework for software-defined technology capability; leading and coordinating innovation squads through delivery; introducing agile working methods into the software development process; and structuring a new software activity against business requirements.
Career record

Founder career track record

Founder experience at former employers — not Hyperion clients.

  • product marketing at ABB E-mobility on EV-charging hardware and charging software
  • Forbes Technology Council Member Leader — leads the Tech Consulting Group; Council member since October 2021, with 7 bylined posts + 4 expert-panel contributions
  • MIT Professional Education — eight professional course certificates (2016–2017), including Data Science, Systems Engineering, Cybersecurity, and IoT
  • French Government AI Ambassador for Industry — Osez l'IA Initiative
  • Berkeley SkyDeck Key Advisor (pro-bono, since October 2022)
  • FranceNum Activateur
  • Senior Executive AI ThinkTank Member
  • Board Member, La French Tech Athens
  • Worked on embedded Linux, Android and open-source integration for production connected-device platforms during his NDS/Cisco career.
Controlled

Research & experiments

arXiv preprint — a preprint, not a journal publication.

  • 78% autonomous incident resolution in a controlled-environment evaluation reported in arXiv preprint 2603.08736.
Public method

External references

Third-party published analysis — cited, not a Hyperion measurement.

  • the majority of AI pilots stall before production

Every engagement is led directly by Mohammed Cherifi. Specialist partners may be introduced for clearly defined work when required and disclosed; Hyperion is not a staffing or engineering-delivery bench.

Selected engagement

One client, described exactly.

Consultant & Tech Lead, Software-Defined Technologies — Schneider Electric, Innovation & Technology. January to April 2024. Developing a strategic framework for software-defined technology capability; leading and coordinating innovation squads through delivery; introducing agile working methods into the software development process; and structuring a new software activity against business requirements.

This describes the mandate and the role. It does not disclose information shared in confidence, claim a client outcome, or constitute a public case study.

How we describe our work

Every organisation named on this site falls into one of five classes. The class is stated wherever the name appears, so no reader has to infer the relationship.

Verified public client
A client relationship Hyperion may state publicly: the engagement is documented and the governing contract places no restriction on reference. Described as mandate and role — never as an outcome. Where a client has given written permission, the evidence register records it.
Verified confidential client
A real engagement that may not be named. Described only in the abstract, if at all.
Partner or subcontractor
Work delivered with or through another party. Never presented as a Hyperion client.
Prospect or lead
A conversation, proposal or target. Never presented as delivered work.
Founder career experience
Organisations Mohammed worked for as an employee. Not Hyperion clients, and labelled as career wherever their marks appear.

No client is named on this site unless the engagement is documented and the governing contract places no restriction on reference. Displaying an organisation's logo is treated as a separate question from naming it, and is not implied by any class above.

Relationships, stated precisely

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

Founder career — not Hyperion clients

Renault-Nissan-Mitsubishi logo
Cisco logo
ABB logo

Advisory work, not Hyperion clients

SKYLD logoDONAA logoCARGOFUL logoDASPREN logoTYPELESS logo

Memberships and affiliations.

Appointments and bodies Mohammed belongs to — not client relationships.

Forbes Technology Council Member Leader — Tech Consulting Group logoFrench Government AI Ambassador for Industry — Osez l’IA Initiative logoBerkeley SkyDeck Key Advisor logoLa French Tech Athens Board logoSenior Executive AI ThinkTank logoFranceNum Activateur logo

Judge it against your product

The fastest way to evaluate the judgement is to put one of your own product decisions in front of it.