Deep tech: from technical promise to industry adoption.

I work with deep tech founders and industry teams to answer three questions:

Where does the technology fit today?

What could it become in three years?

What would justify moving forward tomorrow?

The technology can be revolutionary. Adoption should feel evolutionary.

Jean-Charles Cabelguen, PhD · Fifteen years in deep tech adoption and innovation · Tokyo

Two sides of the same problem

For deep tech companies

The technology works.
The industry case is still unclear.

Interest does not become ownership.
Pilots do not become deployment.
Technical milestones do not answer business questions.

For industry

The technology looks promising.
The decision is still unclear.

Is it mature enough? Where does it fit?
What should a pilot actually prove?
What would make it worth scaling?

I work between those two positions.

I have worked in both rooms.

In research and deep tech, the question is often: What is now possible?

Inside industry, the question becomes: What does this change for us?

I have spent 15 years working between those two questions, across quantum computing, decentralized cloud, hardware security, AI and now Physical AI.

My role is to build enough common ground for both sides to make educated decisions.

A black and white portrait of a man with glasses, short hair, wearing a dark suit and turtleneck, with a strap over his shoulder, against a plain background.
  • 15 years in deep tech adoption — Quantum Computing, Decentralized cloud, Hardware encryption, AI

  • 60+ partnerships signed — Intel, EDF, Ubisoft, L'Oréal

  • 20+ keynotes across Europe, the US and Asia

  • 2 M&A acquisitions closed — China, Poland

  • PhD in biomechanics

  • Based in Tokyo. Building in Physical AI.

Featured in Forbes China · Watch a keynote: EU Observatory on AI and Blockchain

Adoption rarely starts from zero.

A company already has products, roadmaps, budgets, teams and commitments.

So when a new technology appears, the first question should not be: “How do we create a programme around it?”

Ask: “Where could this make something we already care about materially better?”

For the technology company, this identifies an entry point.

For the executive, it prevents another disconnected innovation project.

Do not become programme number sixteen. Help programme four, seven or twelve succeed.

The technology can be revolutionary. The path to industry adoption should feel evolutionary.

Engagements

Adoption Diagnostic

€5,000 · over three business days

Find where the technology matters, what is still unknown, and what should happen next.

For a deep tech company: where the technology has a credible industry entry point.

For an industry team: where a technology is worth exploring, and what would need to be true for it to matter.

You leave with:

  • the strongest use case or entry point

  • the critical unknowns

  • what needs to be tested

  • a decision memo

  • one concrete next move

Deep Tech Adoption Sprint

From €15,000 · two weeks

Turn a promising technology or opportunity into a credible industrial path.

Depending on the situation, we work on:

  • industrial use case and value

  • internal ownership and stakeholders

  • technical and business assumptions

  • evidence still required

  • pilot or partnership design

  • success and stop criteria

  • 90-day roadmap

  • executive decision memo

The Diagnostic identifies the next move. The Sprint builds it.

  • Call — 20 minutes. I tell you if I can help. If not, usually who can.

  • Scope — within three days. One page, fixed price, defined output. No 30-slide proposal.

  • Work — Diagnostic or Sprint. Ends in a written memo, not a deck.

How it starts