AI & Data Systems
Data pipelines, machine learning and generative AI engineered into the core of your product.
Most AI projects stall at the demo. The model works on a laptop; the data it needs lives in five systems that don't agree with each other.
We start with the data. Pipelines that move, clean and version it. Retrieval layers that let a model answer from your own documents. Evaluation sets that tell you, before release, whether the new version is better than the old one.
What we build
- Ingestion and transformation pipelines with lineage and monitoring
- Retrieval-augmented generation (RAG) over your documents, tickets and knowledge base
- Classification, extraction and forecasting models where a rule engine stops being enough
- Evaluation harnesses so model changes ship on evidence, not vibes
How it runs
A two-week discovery maps your data and picks the one workflow where AI pays back first. We ship that into production, measure it, then widen the scope.