Deep tech claims are easy to make.
ALPHA-AQAL puts a senior physicist on your hardest technical question, on demand. Feasibility studies, technical due diligence and fractional R&D leadership for deep tech founders, investors and engineering teams, without building a research department first.
Step 3 of 5 approved
Simulation agrees with measured data within tolerance.
TRL 3 → evidence for TRL 4
Illustration: a 300 mm wafer map rendered as a dot matrix. Status cards are examples.
Pitch decks and grant applications rest on physics, chemistry or algorithms that no independent scientist has reviewed.
Funds and angels have to judge hardware, materials and quantum claims with no in-house scientist to test them.
Recruiting a head of research before the core risk is retired spends runway on the wrong questions.
Real projects span semiconductors, materials, software and biology. Single-domain consultants cover one slice of them.
Each engagement is scoped and priced before work starts. Most clients begin with a Feasibility Sprint and decide what comes next from its verdict.
A scoped study that answers one question: can this work, and what would it take? Literature, first-principles analysis and simulation where the question needs it.
An independent read of a startup's core technology before you invest. Claims are checked against physics, prior art and the data the team can show.
Ongoing research leadership: specification reviews, a verdict gate on every major step, and execution of the analysis pipeline. Tools and compute are passed through at cost.
Technical sections, work packages and feasibility arguments for research and innovation funding applications.
Courses built around a team's exact instruments and questions, delivered on site or remotely. A recent example is a five-day Keysight B1500A / EasyEXPERT course for a university in Kuwait.
Technology Readiness Levels 1 (basic principles observed) to 9 (proven in operation)
Step sent back for revision
The doping profile assumed in the model contradicts the supplier datasheet. Example status.
One call to define the question, the decision it informs and what counts as an answer. Scope and price are fixed before work starts.
Papers, patents, datasheets and standards relevant to the question are gathered into a project library.
Specialised AI agents run literature synthesis, calculations and simulations. Defined sub-tasks go to vetted specialists when the field demands it.
Every step is reviewed and either approved or sent back. Nothing reaches you that has not been checked by hand.
A written verdict you can put in front of a board, an investment committee or a grant panel.
When your data must not reach third-party services, the analysis runs on a local AI setup that works entirely offline.
Reference imagery from the fields ALPHA-AQAL works in, from the die to the data. Client results stay confidential.
Wafer, die field
Semiconductor device physics. Characterisation and parametric testing start at the die.
Potential well
The profile behind quantum confinement in thin films and transistor channels, where device physics begins.
Specimen, cell segmentation
Image analysis. Each cell is located and measured, as in digital pathology and clinical study work.
Volume simulation
Isosurfaces of a simulated field show where concentration or stress builds up inside a material.
Simulation mesh
Modelling runs inside the analysis pipeline, then passes the verdict gate before it reaches you.
Trajectory traces
Signal and trajectory analysis. The same tooling validates trading systems and sensor data.
FDSOI and cryogenic electronics, device characterisation, compact modelling, TCAD.
Condensed matter, powders and processing, materials selection and failure analysis.
Quantum devices, quantum computing claims and the physics behind them.
CRYSTALS-Kyber and Dilithium, hardware acceleration, migration readiness.
Devices, diagnostics and study design, with specialist partners where the biology needs one.
Trading systems, numerical methods, independent validation of models and code.
Client names are withheld. Detailed case studies are shared on request.
Five-day on-site course on the Keysight B1500A semiconductor analyzer and EasyEXPERT for a university team in Kuwait.
Backtesting and forward-testing design for an automated forex arbitrage trading system.
A retrieval-augmented medical language model built on MedGemma.
Physicist and deep tech consultant. My PhD on FDSOI semiconductor devices was carried out at CEA-Leti with Université Grenoble Alpes, on device physics and compact modelling down to cryogenic temperatures.
Since then I have worked as an innovation consultant and, since 2025, as an independent scientific consultant on projects ranging from materials and quantum technologies to biomedical devices and finance. I am also a trained full-stack developer, which is why the analysis pipelines behind ALPHA-AQAL are built in-house.
Send a short description of the technology and the decision you need to make. Every engagement starts with a scoping call.
