Retrieval you can trust
We build retrieval-augmented generation systems that answer from your documents — ingested, chunked, retrieved, evaluated — and serve them behind real auth to real users.
- Education teams needing tutors that answer from real material
- Businesses sitting on documents and data they cannot query
- Founders whose AI demo needs a production backbone
- AI answers that sound confident but cannot be traced to source data
- Retrieval pipelines nobody evaluated before launch
- Demos that never survive production traffic, auth, or real users
Ground first
Ingestion, chunking and retrieval come before generation. If the retrieved context is wrong, nothing downstream can fix it.
Evaluate honestly
Answers are checked against source material in loops, not vibes. What cannot be measured is not shipped.
Ship behind auth
Row-level access, real user boundaries and tested policies — the system runs for actual classrooms and customers.
It depends on data volume, evaluation depth and auth complexity — typical ranges, never fixed quotes, are scoped on a call after seeing your documents.