We build the boring, trustworthy half of AI
Daneshyar started from one complaint we heard over and over: the answer sounds right, but I can't see where it came from — so I can't use it.
Why we built it
General assistants are trained on the open internet. That is exactly the wrong source for a clinician, who is accountable for every decision and needs to know which document, which edition, which page.
So we inverted it. Daneshyar has no opinion of its own: it reads the documents your team uploaded, retrieves the passages that actually bear on the question, and answers from those — showing them as it goes. When your sources don't answer the question, it says so.
We started in medicine because it is the hardest audience to satisfy. Sources have to be exact, privacy isn't negotiable, and a plausible wrong answer is worse than no answer at all. Everything we build clears that bar first — and then works just as well for a lecture hall, a design review or a codebase.
What we hold to
The four rules we come back to whenever a decision gets difficult.
Sources over confidence
An answer without a traceable source is a rumour. We would rather say “that isn't in your documents” than sound helpful.
Privacy is structural
Data handling is designed in, not added later: access scoped per account, nothing sensitive parked in the browser, and no vendor in the path we can't vouch for.
Persian first, not translated later
The interface was built right-to-left from the very first screen, in both languages, with real Persian typography — not an English product with a language switch bolted on.
Open by default
Every app carries an API key. Your knowledge base should be usable from your own software, not trapped inside ours.
Where we are now
We build in the open with a small number of teams. Upload, ingestion, the cited chat, recordings with timecodes and the workspace console are live and in daily use; auto-joining live meetings, billing, the embeddable widget and the public SDK come next.
If you run a clinic or a department and this sounds like your problem, we would like to hear from you — early partners shape what gets built next.
Put your own documents to work
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