Generative AI is most useful when it works with your own knowledge: policies, manuals, contracts, tickets and product data. We build assistants and copilots that answer from those sources, show where each answer came from and respect who is allowed to see what.
What's included
- Use-case selection and a proof of concept on your real documents
- Retrieval-augmented generation (RAG) with cited sources
- Copilots inside your existing apps, CRM or helpdesk
- Document drafting, summarising and data extraction
- Access controls, audit logs and guardrails against unsafe output
- Evaluation sets that measure accuracy before and after launch
How we work
We pick one use case with a clear measure of success and build a proof of concept on a sample of your data. If it meets the agreed measures, we prepare it for production with monitoring, cost controls and human review where mistakes would be costly. We work with commercial and open-source models and help you choose between cloud APIs and private hosting.