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WINNIIO
The position

Nobody covers the whole stack of digital twin competence the way we do.

Most suppliers hold one layer. A strategy firm cannot build it. An integrator cannot lead the change. A software vendor cannot tell you not to buy software. We work across all five, which is why a scoped answer takes hours rather than months.

The five layers

Most suppliers hold one of these. The gaps between them are where twin programmes die.

  1. 01

    Organizational

    Who decides, who is accountable, and where the decision rights actually sit. A twin that no role owns is a model nobody acts on.

    On the record

    Guest lecturer at the University of Oxford on knowledge transfer. Fifteen-plus years placing twins inside real organisations, 50+ of them.

  2. 02

    Global

    The standards work, the consortium rooms, and the operators and manufacturers on four continents who set what interoperable means.

    On the record

    Co-Chair of three Digital Twin Consortium working groups — Manufacturing, Telecommunications and Quantum — writing standards alongside the largest technology companies in the world. EU Expert Evaluator for Horizon Europe.

  3. 03

    Change management

    Getting the operator, the controller and the board to trust the same model. This is where twin programmes die, and it is not a software problem.

    On the record

    500 buildings, 50+ organisations, 50,000+ hours in the field. 36 episodes as host of Beyond Buildings and 50 published articles arguing this case in public since 2018.

  4. 04

    Technology strategy

    What to connect, what to build, what to refuse, and in what order. Vendor-neutral by construction — we sell no platform, so we have no reason to recommend one.

    On the record

    Nokia Bell Labs on dynamic twins and physical AI. Q-SMART, an accepted Digital Twin Consortium testbed, announced publicly in 2025.

  5. 05

    Method

    A published, citable path from data silos to a living twin — derived from the concurrent-engineering practice NASA JPL used to cut design studies from months to hours.

    On the record

    The SMILE methodology, DOI 10.5281/zenodo.21268264. Peer-reviewed and versioned in public, which means you can audit it before you hire us.

If you disagree

If you think someone covers more of this ground, tell us who and we will say so plainly. We would rather lose an engagement to the right team than win one we are not the best at.

Why it is fast

Hours, not weeks.

A scoped answer to 'is a twin right for this, and what would it cost' takes a workshop and a week — not a six-month discovery phase. That is possible because the method is published, the map exercise is the same every time, and up to 99% of what you need is already inside systems you pay for.

The pattern is borrowed from NASA JPL's concurrent-engineering practice: put every discipline in one room against one shared model, and a study that took months finishes in hours. We run the same shape at company scale.

What gets twinned

A digital twin is not a building. It is wherever a decision needs rehearsing.

Every decision gets a simulation environment before it is made.

Not a dashboard of what already happened. A place to rehearse what has not happened yet — so you always know more, before something happens, rather than after.

Assets

Plant, network, building, vehicle, grid.

The decision it de-risks
Will this change break something physical?

Operations

Flows, maintenance, logistics, energy, handover, supply.

The decision it de-risks
Will this change hold at load, and over time?

Organizations

Process, decision rights, capability, human–AI teaming.

The decision it de-risks
Will this change survive contact with people?

The record

13 credentials, 9 press entries, 13 recordings. All public, all checkable.

Every line below can be verified by a stranger in under a minute. That is the standard we hold our own claims to, and the one we would apply to anybody pitching you.

Co-Chair, Manufacturing WG
Digital Twin Consortium (2021–present)
Co-Chair, Telecommunications WG
Digital Twin Consortium — standards alongside the largest technology companies in the world
Co-Chair, Quantum Working Group
Digital Twin Consortium — quantum-secure twins
EU Expert Evaluator
Horizon Europe · ID EX2026D1413450
Q-SMART Testbed lead
Digital Twin Consortium (2025) — accepted testbed, announced publicly
Senior Researcher (Cat. B)
Frascati career stage
Contributing Editor, 50 articles
AutomatedBuildings.com (2018–2022)
Host, 36 episodes
Beyond Buildings podcast (2020–2021)
Guest Lecturer, University of Oxford
Dept for Continuing Education — VR/XR/AI for knowledge transfer
Author, SMILE methodology
Digital-twin readiness scoring · DOI 10.5281/zenodo.21268264
Recorded talks
DTC: lifecycle twins for manufacturing · BrightTALK: self-learning smart-heating twins
Peer-reviewed publications
Zenodo · DOI 10.5281/zenodo.17462962 & .17464804
Nokia Bell Labs
Dynamic digital twins · physical AI research

The complete highlight reel of talks, keynotes and podcasts lives on the about page, and the published method with its DOI is on SMILE.

Digital twin specialists

We are digital twin specialists. Any industry, because the method is industry-agnostic and reality is not.

An answer that takes nine months to verify gets verified against a reality that has moved on.

Scoping workshop from €4,500, credited in full against the project. See how scoping works