Senso works in three steps: ingest an organisation’s ground truth, its policies, product catalogue and compliance documents; evaluate what ChatGPT, Gemini and internal agents actually answer against it; then publish verified sources so the citations point somewhere correct.
It sits between two categories that are usually sold separately. Visibility tools report what assistants say about you and stop there; retrieval tools ground your own agents and ignore the public surface. Treating both as the same problem, whether the answer matches the documented truth, is the more useful framing, and the remediation half is what makes it actionable.
The Y Combinator W24 company ships a CLI via npm for developers, with a customer reporting document retrieval twelve times faster. No pricing is published, publishing verified sources influences what models learn without guaranteeing it, and a ground-truth layer is only as current as the documents fed into it.
