AI
Practical AI that fits real workflows
We help teams ship AI features that are useful today, not demos that never make it to production.
Our approach
AI works best when it is narrow, observable, and connected to your actual data. We start with the job the user is trying to do, then choose the smallest model and simplest architecture that can do it reliably.
That means fewer hallucinations, lower costs, and features your team can maintain.
What we build
- LLM integrations and prompt engineering
- Retrieval-augmented generation (RAG) over your data
- AI agents that take real actions
- Embeddings, semantic search, and recommendations
- Interfaces that make AI output trustworthy
- Model selection, cost control, and observability
Have an AI idea but not a plan?
We'll help you turn it into a scoped prototype with clear success metrics and a production path.
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