AI and Machine Learning Solutions
Not every problem needs a large language model. Demand forecasting, churn prediction, fraud scoring, defect detection and document classification are often better served by a model trained on your own data.
We start by asking whether the data supports the question at all, and we will tell you when it does not. That answer is cheaper to hear at the scoping call than after three months of work.
What we build
Models that ship as a service, not as a notebook.
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Forecasting, classification and anomaly detection on your data
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Computer vision for document reading, inspection and quality checks
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Delivered as a versioned API, with a dashboard your team can read
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Retraining and drift monitoring set up before handover
Who it suits: teams sitting on years of operational data that nobody is using to make decisions. Tools we use: Python, PyTorch, TensorFlow, PostgreSQL, AWS Bedrock, Azure AI and Docker.
Common questions
The questions we get asked most before a project starts. If yours is not here,
ask it directly and an engineer will answer.