AI systems, grounded in your data
Grounded AI systems connected to your real knowledge and workflows. Turn scattered documents and business knowledge into grounded AI assistants, searchable knowledge systems, retrieval-augmented generation applications, and practical automation workflows.
- Education teams needing tutors that answer from real material
- Businesses sitting on documents and data they cannot query
- Founders who need custom AI development — assistants, chatbots, automation — that survives contact with users
- 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.
Both, with a bias toward grounded systems: retrieval pipelines and assistants wired to your data, not generic chatbot wrappers.