The Challenge
No structured knowledge base existed. Raw material sat as audio files and Word documents in SharePoint with no ingestion pipeline, no transformation logic, and no quality controls. The platform also needed to serve people in active withdrawal, demanding a higher safety bar than a typical consumer chatbot.
Our Strategy
Every workstream was a data engineering exercise at its core. Claude was integrated at the points where reasoning and language generation materially affect outcome quality, with a deliberate model tiering strategy across coaching, content generation, and data extraction workloads.
The Results
43905
QA pairs indexed and searchable
50
Search retrieval stages for clinical precision
2
Claude model tiers powering the platform
Testimonial
" Unloq has been a great partner to work with. Their approach helped us identify where AI should be applied and the AI solution they developed is now delivering on the needs of our client and their users. "
- Stuart Jackson, CEO & Founder, ICE Creates
