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LLM Integration and Retrieval
A language model is only as useful as what it can see. We connect models to your knowledge, your data, and your tools, and we measure the result before you rely on it.
What we build
Retrieval systems over your own corpus.
Contracts, policies, tickets, manuals, codebases. Chunked, indexed, and ranked for the questions your people actually ask.
Copilots inside existing tools.
In the CRM, the ERP, the IDE, the case system. Not in a separate tab nobody opens.
Structured extraction at scale.
Documents in, typed data out, with confidence scores and human review queues.
Model routing and cost engineering.
The right model for each request. A small model for classification, a large one for reasoning, a cache for repetition.
Private deployments.
On your cloud, in your region, or on your hardware, for data that cannot leave.
How we measure before you trust
Every retrieval system we deliver ships with an evaluation set built from your real questions and your experts' real answers. We report recall, precision, and faithfulness, and we show you where the system is wrong before you find out from a customer. Retrieval without evaluation is a liability with a chat interface.