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.
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?
Founder career track record
Has operated at production scale.
17+ years
NDS/Cisco video platforms deployed at 100M+ scale
product leadership on Renault-Nissan-Mitsubishi Alliance connected-services programs (Renault OpenR Link, NissanConnect)
Hyperion-owned reference implementations
Still builds systems directly: Auralink.
in-house AI ventures, including Auralink
78% autonomous incident resolution in simulated operations
32 conformance cases
ACS v0.1 coverage spans reference, safety and federated-operation scenarios.
Inspect the working evidence
The method is inspectable before an engagement.
Inspect the supporting claim 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 (since October 2021) — 7 bylined Council 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
- Berkeley SkyDeck Advisor (pro-bono, since 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.
Hyperion-owned reference implementations
Built and owned by Hyperion to prove the method — not external client deployments.
- ~1.7 million lines of code
- 20 first-party Rust crates
- 200 first-party services
- 24 AI agents
External references
Third-party published analysis — cited, not a Hyperion measurement.
- the majority of AI pilots stall before production
Relationships, stated precisely
These marks represent founder career, advisory work, memberships and affiliations. They do not represent Hyperion clients.
Founder career — not Hyperion clients
Advisory work, not Hyperion clients
Memberships and affiliations.
Appointments and bodies Mohammed belongs to — not client relationships.
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.