AI in Your Product
Your customers are asking why your product cannot answer questions about their own data. We build the feature that does: retrieval over your content, an assistant that stays inside what it knows, and the evaluation that keeps it from embarrassing you in front of a user.
Retrieval over your data
Search and answers grounded in your own documents, records and history, with the source shown next to the answer.
Assistants that stay in scope
Tool access, permissions and guardrails, so the feature does the job it was given and declines the rest instead of improvising.
Evaluation before release
A graded test set built from real questions, scored on every change, so a model swap cannot quietly make the feature worse.
Cost and latency you control
Model routing, caching and hard limits, with the per-request cost visible from the first week rather than the first invoice.
Tenant isolation
One customer's data never reaches another customer's answer — enforced at retrieval, not promised in a prompt.
Scope the first feature
Bring the question your customers keep asking your product. We scope the smallest version that answers it well, and tell you what it costs to run at your volume.