Custom AI Development

Off-the-shelf AI products optimise for the median customer. That is the right trade until your requirements stop being median: a proprietary data model, a regulated workflow, a latency budget, an integration surface nobody else has. At that point configuration runs out and engineering starts.

We build production systems rather than demos: evaluated against your own data, instrumented so regressions are visible, and structured so the model is a replaceable component rather than the architecture itself. Model choice moves faster than product requirements do, and a system that hard-codes today's best model ages badly.

• Agents that plan, call tools and act against your systems under explicit guardrails
• Retrieval systems over your own corpus: ingestion, chunking, embedding and evaluation
• Customer-facing AI features embedded in an existing product, not bolted beside it
• Internal platforms and services that give your engineers a governed way to ship AI

Engagements start with a narrow, evaluable slice (one workflow, one corpus, one measurable quality bar) and widen once it clears. Evaluation is written before the feature, so "is this good enough" is a number rather than an argument.

Ready to scope this? Start a project brief and we'll plan around your goals, timeline and budget, or talk to our engineers first if the requirements are still taking shape.