Start here
Ground your agents in your own knowledge
Query your own knowledge. Every answer comes back with its sources.
Quickstart
01Get a key
$100 in credits. No credit card needed.
Create a keyor paste one
Stays in your browser. Nothing is sent anywhere.
02What are you connecting?
Over MCP or the REST API.
Registers Senso for every project, not just this one.
Prefer instructions over tools? Agent skills teach an agent the full pipeline, including generate and publish.
claude mcp add --transport http --scope user senso https://apiv2.senso.ai/mcp \
--header "X-API-Key: YOUR_API_KEY"What people build with it
Ground an agent
Answers built only from your documents, returned with the sources they came from.
Power a workflow
Support, compliance and call center agents working from one source of truth.
Control what AI says about you
Publish what models should read, then measure whether the answer changed.
Ingest is stage 01 of six
Getting your documents in is the first stage. The rest is how you find what AI still gets wrong about you, fix it, and check that the answer changed.
The context layer
Five sections to fill
One place your agents read from, instead of five places nobody maintains.
Five sections, each holding a different kind of truth about your business. An answer draws on all of them at once, and every sentence it produces traces back to a document you own.
The dots are the readout that matters. A thin section is where answers go vague; an empty one is where they get invented.
See it run
Ingest knowledge
Hover any rowHappens without you
Answer analysis
RunningWhat products or services do you offer?
10sSix-week engagements, an annual product catalog1 and the advisory retainer3. Every line is quoted from a document you own2 — add more and run it again.
- 1product-catalog_2026.xlsx0.94
- 2about-us_who-we-are.pdf0.88
- 3Redwood_Six-Week.docx0.71
- Sources cited
- 3
- Top relevance
- 0.94
- Answered in
- …
Illustrative until you connect an organization.
Already have a RAG system?
Keep it. Ask the same question of your stack and of Senso, then compare. Senso answers only from documents you own, with sources, so the difference is what your system invented or missed. Works against any pipeline, any model, local included.
What this covers, and what it doesn't
