AI/ML Integration

We help teams move past AI experiments and into features their users actually rely on. That usually starts with a narrow, high-value use case — summarising documents, classifying incoming requests, scoring leads — and a clear measure of whether the model is doing its job.

From there we handle the engineering around the model: prompt design and evaluation, retrieval over your own data, guardrails and fallbacks, cost and latency tuning, and the monitoring you need to spot quality drift after launch.

If an off-the-shelf model won't cut it, we train and deploy custom models on your data and wire them into the products and workflows you already run.