Machine Learning & Computer Vision
When the problem needs a model trained on your data — not just an LLM — we build it, deploy it and keep it accurate over time.
Business outcomes
- Forecast demand and reduce stock-outs
- Detect defects, fraud and anomalies automatically
- Turn camera feeds into real-time operational data
What you get
- Data audit and feasibility study
- Model training, evaluation and explainability
- Edge or cloud deployment (APIs, devices, cameras)
- MLOps: monitoring, drift detection and retraining
Use cases
Visual quality inspection
Detect defects on production lines from camera images.
Forecasting
Predict sales, demand or cash-flow from historical data.
Smart surveillance & IoT
Object detection, counting and alerts — pairs with our home & building automation work.
Technology
PythonPyTorchscikit-learnYOLO / OpenCVMLflowDocker / Kubernetes
FAQ
How much data do we need?
It depends on the problem. We start with a data audit and tell you honestly whether ML is feasible — and what it will take — before you invest.
Let's scope your machine learning & computer vision project
Book a free 30-minute call. We'll tell you honestly what AI can do for your use case — and what a proof of concept would take.