AI / ML & Computer Vision Solutions
Computer vision, NLP and predictive models — including on hardware that has no cloud connection.
Models that end up in a product
Our machine learning work is not research for its own sake. It reaches production hardware: a weapon detector watching public space, a system recognising cancer cells under a microscope, a PTZ platform tracking an intruder across a perimeter, a drone classifier separating rotor noise from a passing truck.
Vision, language and prediction
Computer vision is the largest part of what we do. Optical character recognition — a convolutional network locating features, a recurrent network predicting characters, CTC assembling the text. Real-time face detection on live streams, used the way a fingerprint is used: as a key to something that matters. Detection and tracking of objects that are small, fast and partly obscured.
Alongside it, natural language work for conversational interfaces, and predictive analytics over operational data.
Where the model has to run
A model in a notebook is not a system. The work that makes it one — quantisation, runtime selection, memory budgets, thermal behaviour, latency under load — is embedded engineering, and it is why our AI sits in the same team as our firmware.
Computer vision
Detection, classification and tracking — from weapon detection in public space to cell recognition under a microscope.
Optical character recognition
A CNN locates the features, an RNN predicts characters, CTC converts the sequence into text. Built, not bought.
Real-time face detection
OpenCV pipelines and custom networks for identity-grade access on live video streams.
Natural language
Conversational interfaces that answer in the same form a person asked, from FAQ assistants upward.
Predictive analytics
Models that turn operational history into a signal someone can act on before the failure.
Edge AI
Inference on ARM and embedded targets, quantised and profiled — because some decisions cannot wait for a round trip.
Have a vision or data problem?
Bring the task and a sample of the data. We will tell you whether it is a modelling problem or an engineering one.
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