Service 03
AI & Data Solutions
We build AI into products where it earns its cost: document understanding, support automation, search that actually finds things, internal copilots. Every feature ships with evaluations, guardrails and a fallback, because a demo that impresses is not the same as a feature that holds.
- Assessment first
- 2 weeks
- Every feature ships with
- Evals
- Cost visibility
- Per request
The problem
Everyone is telling you to add AI. Nobody is telling you which use case pays for itself, how to stop it hallucinating in front of a customer, or what it costs per thousand requests.
What you get
- Use-case assessment with a cost and risk estimate before any build
- Retrieval pipelines over your own documents and data
- LLM features with evaluation suites, not vibes
- Guardrails, human-in-the-loop review and graceful fallbacks
- Analytics pipelines and dashboards on top of your existing data
- Cost monitoring so spend never surprises you
Related work
