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AI Solutions
We add AI where it earns its place: an assistant that answers from your own documentation, an agent that completes a multi-step task, or a feature that classifies, summarises or extracts so your team doesn't have to. We start from the business problem and a measurable outcome, then choose the model and architecture that fit — not the other way round.
Every AI feature we ship comes with the unglamorous parts that make it safe to run: evaluation against real examples, guardrails, cost and latency budgets, and a clear fallback when the model is unsure.
What's included
- LLM & API integration
- Retrieval over your own data (RAG)
- AI agents & tool use
- Evaluation, guardrails & cost control
Technologies we use
- LLM APIs
- RAG
- Vector databases
- Python
- TypeScript
