WHAT WE DO · 06
Applied AI & Data Intelligence
Put business knowledge and data to work through practical, accountable AI.
We build AI models and assistants trained on your own material: documents, case files, product data, past answers. They answer customers and staff in your voice, cite where the answer came from, and say plainly when the material does not contain one.
For firms and teams who answer the same questions all day, hold a body of knowledge nobody can search, or want a product feature that speaks from their expertise rather than the open internet.
What you get
- Knowledge audit & data preparation. What the model should know, cleaned, structured and versioned.
- Model & retrieval design. The right model for the job, and how it finds the right passage before it speaks.
- Assistant build & integration. On your site, inside your systems, or as an internal tool for staff.
- Evaluation & guardrails. Tested against real questions before launch. Wrong answers are caught, not shipped.
- Monitoring & retraining routine. What people asked, what it answered, and a schedule to keep it current.
What you end up with
An assistant that answers from your material, cites it, and admits what it does not know. Built as we did for Knowledge Law.
What we bring
Retrieval over your own documents · Model selection & fine-tuning where it earns its cost · Guardrails: answers with sources, or no answer · Evaluation set built from real questions · Private hosting, keys never in the browser · Usage & accuracy reporting
The other services
- Digital Products & Experiences: Digital experiences built around how people and businesses actually work.
- Search, Visibility & Digital Growth: Make your business discoverable, understandable and credible across digital channels.
- Systems Engineering & Digital Integration: Connected systems that make operations work better.
- Digital Trust & Reputation: Build a credible, consistent digital presence across the channels that matter.
- Business Analysis & Innovation Strategy: Understand the problem before designing the solution.