Service
AI & immersive technology
Machine learning, computer vision and AR/VR products that ship, not demos.
- Python
- PyTorch
- TensorFlow
- OpenCV
- Three.js
- WebGL
There is a large gap between a model that works in a notebook and a feature your users can rely on. We work on the second half of that problem: getting AI into production where it has to be fast, predictable and affordable to run.
We start by asking whether the problem needs machine learning at all. Often a rules engine is cheaper, more explainable and easier to maintain. When ML genuinely is the answer, we build it as a component of a working product rather than as a standalone experiment.
Industries we do this for
- Retail
- Agriculture
- Education
- Healthcare
- Manufacturing
What you get either way
- A written scope and estimate before anything is signed
- Fortnightly releases, not a single reveal at the end
- Scope changes flagged when they happen, not at invoice time
- Source, repositories and infrastructure handed over in full
- The people who built it available after launch
- No licence you have to keep paying to run your own product
What this covers
The work we are usually brought in for, in roughly the order it tends to happen.
Applied machine learning
Prediction, classification, recommendation and forecasting, trained on your data and deployed behind an API your product can call.
Computer vision
Image classification, object detection and OCR. We have shipped crop disease identification and document extraction in production.
Conversational AI
LLM-backed assistants and support agents grounded in your own documentation, with guardrails and a fallback to a human.
Augmented reality
Marker-based and markerless AR for retail, education and training, delivered on phones people already own.
Virtual reality
Immersive training and simulation environments, including navigable 3D spaces rendered in the browser.
3D and WebGL
Three.js product configurators, virtual stores and interactive planograms that run without an install.
Questions we get asked
If yours is not here, ask us directly — we answer within a working day.
01 Do we need a large dataset to start?
Not always. Transfer learning and pre-trained models get useful results from a few thousand labelled examples. We tell you honestly at the discovery stage whether your data can support what you want.
02 Can AR run without an app download?
Often yes. WebAR runs in the browser on most modern phones. Native gives better tracking and performance, so the choice depends on whether reach or fidelity matters more.
03 How do you handle AI accuracy and mistakes?
We define an acceptable error rate with you before building, measure against a held-out test set, and design the interface so a wrong answer is recoverable rather than damaging.
Our other services
Most projects touch more than one. Pick another to see how we work on it.
Ready to talk about ai & immersive technology?
Send us the problem and we will come back within one working day with an honest read on scope, approach and cost — including whether we are the right team for it.