We help product teams ship AI features that work in production, not just in a demo. That covers retrieval (RAG), AI agents, and the plumbing that keeps them accurate and affordable once real users show up.
What we deliver
- Generative AI features and chat interfaces
- Retrieval (RAG) pipelines and vector search
- AI agents and task automation
- LLM integration, prompt work, and evaluation
- Model deployment, fine-tuning, and MLOps
- Guardrails for safety, cost, and latency
How we work
- Scope. We pin down the use case, how we will measure quality, and a first version worth shipping.
- Build. We ship a working system with monitoring and guardrails in place.
- Run. We watch quality and cost, then improve where the numbers point.
Frequently asked questions
How do you take a RAG or LLM prototype to production?
You need a way to measure answer quality, a budget for cost and latency, guardrails, and monitoring. We put those in place so you catch problems before your users do.
Do I need an AI agent or just automation?
If the steps are fixed and predictable, plain automation is cheaper and easier to trust. Agents are worth it when the path changes and the system has to decide what to do next. We help you pick.
How long does an AI build take?
A focused feature usually ships in a few weeks. We scope a first milestone before we agree on a timeline.
Ready to start? Book a scoping call and we will map the fastest path to a working system.