We get technology to market
Validation of your technology against what a specific vertical actually demands, and the commercial path into it — go-to-market strategy, training and events.
Consulting →Semiconductors & electronic systems · Physical AI
We get technology to market.
We help semiconductor and high-tech companies to prove their technology against new vertical markets — and identify the fastest route to revenue.
Who we are
Three lines of business.
We build AI-based solutions
End-to-end delivery across hardware, software and data training — from sensor selection and model development to a production-intent module — and commercialisation of the result.
AI Project →We produce training data
Reproducible, labelled, training-ready datasets for physical AI — captured on your vehicle, with your sensors, against your event list. It is how SDX is trained, and it is available on its own.
Training data →Our expertise is in physical AI
Sensors
Edge AI compute
Training data
System validation
The data problem
A model is only as good as what it was trained on.
Most physical-AI programmes stall on data, not on the model. The architecture was fine; the dataset was a collection of recordings.
Where it goes wrong
- UnlabelledField recordings that were never labelled precisely enough to train on.
- UncoveredRare and unsafe events that never got captured at all.
- UnrealSynthetic data that taught the model the generator's fingerprint instead of the world's.
What we built
We built a reproducible 360° test cage that runs the same event, in the same place, at the same intensity, as many times as it takes — and auto-labels every session into training-ready data. It trains and validates SDX, and it is available on its own.
Reproducible
Auto-labelled on capture
Coverage-matrix driven
Real, semi-synthetic and synthetic — kept separate
Validated day-in-the-life
Power-profiled alongside
Consulting
Three steps — usually in this order.
Technical validation & testing
Planning, implementation, validation and testing of devices, sensors and systems — measured against what the target vertical actually demands, not against a generic bench standard.
When you need this: you are entering a vertical whose requirements you have not had to meet before, or a customer has asked for evidence you cannot yet produce.
Go-to-market strategy
Which vertical, which application, which customers, in which order. Positioning, business planning and the commercial path to a design win.
When you need this: a technology looking for its best market, a new application that may or may not be real, or a first approach to an OEM or ODM you have no relationship with.
Training & workshops
Sessions for engineering and commercial teams, built around your technology and the market it is entering rather than a standard syllabus. Event planning and strategy days alongside.
When you need this: a team that has to carry the work after the engagement ends.
Automotive · Robotics · Wearables & AI glasses · IoT
Track record
Programmes we have advised.
Named where we can, described where we cannot. Most of this work sits under non-disclosure agreements.
- SDX — vehicle monitoring
- Our reference programme: an on-device edge-AI platform taken from concept toward a production-intent module. See the technology
- CAGE deployment
- Acquisition and benchmarking services built on our own test-cage platform. How it works
- Under NDA
- Robo-taxi and human presence detection · synthetic data generation · insurance and security companies · automotive OEMs and Tier-1s in EMEA · shared mobility and fleet operators
- Services delivered
- Go-to-market and business development, prototype to production · end-to-end sensor and processor benchmarking · algorithm benchmarking · data strategy, collection and intelligence · validation, calibration, tuning and day-in-the-life testing
30+
Years in semiconductors and electronic systems, between us
10+
Years advising companies into new markets
4
Sectors we work across
AI Project — by GPI International
We build AI-based solutions.
Three products, and they work together. SDX is an on-device edge-AI platform that detects and classifies physical events on the vehicle body. Training data is the engine that produces the labelled data SDX is trained and validated on — and it is a product in its own right.
Real time
Classified on the module, as it happens
On device
No audio leaves the vehicle
Updatable
Models improve without changing hardware
Tell us where you are trying to take it.
One call is usually enough to establish whether we can help.