Generative AI & LLM Integration
RAG pipelines, copilots, and in-product AI features built on the model of your choice, grounded in your own data.
RAG copilots and in-product AI on your own data.
RAG pipelines, copilots, and in-product AI features built on your own data and the model of your choice. We handle the unglamorous parts that make generative AI actually work, including retrieval quality, grounding, evaluation, and cost, so the feature ships instead of demoing well and quietly dying.
Where the work goes.
The concrete capabilities we bring to this. It's not a feature list, just the parts that actually move the needle.
RAG & knowledge retrieval
Retrieval-augmented pipelines that answer from your documents, grounded and cited rather than hallucinated.
In-product copilots
AI features embedded where users work to summarise, draft, search, and explain, all tuned to your domain.
Model integration & routing
The right model for each job, with fallback and cost routing across providers.
Evaluation & observability
Answer quality measured and monitored, so quality doesn't quietly regress.
Deliverables you keep.
Everything ships into your accounts, including code, infrastructure, and documentation you own outright. There's no lock-in.
- A shipped, grounded AI feature in your product
- A retrieval pipeline over your data
- An evaluation harness and quality dashboard
- Token-cost monitoring and controls
Good to know.
The things clients ask about this first. If you have anything else, just ask.
Will our data be used to train someone's model?
No. We use providers and configurations that keep your data yours, and we can self-host open models when data residency demands it.
Ready to build your next product?
Book a free 30-minute technical consultation. You'll get architecture advice and a clear roadmap before you spend a dollar.
No commitment required. Signed NDA available, or email [email protected]