A Divyarshi AI product family

AI principles

How we use AI.

We use AI where it removes real work: answering routine questions, drafting questions for a question bank, turning a lecture into notes. People stay in charge of everything it produces.

Grounded, with sources

Assistants answer from your own material (the prospectus, policies, the course's own lectures) and point to the document or lecture minute the answer came from. When the material doesn't cover a question, they say so.

Faculty approve first

Generated questions, summaries and study kits are drafts. They reach students only after a teacher reviews them. AI draft marks are suggestions; the evaluator decides.

A person is always reachable

The admissions assistant hands the conversation to a counsellor when it isn't sure, and it never decides on an application or a result.

Plain about where data goes

Our application servers and backups are in India. AI features call model providers whose servers may be outside India, and we tell institutions which features do this before they switch them on.

Where AI shows up in our products

  • AI Admission Counsellor: answers applicant questions from the institution's own prospectus and hands over to a counsellor.
  • AI Tutor & Study Kit: a course tutor and study kit grounded in the course's own classes.
  • LectureLens: transcripts, summaries and study notes for recorded classes.
  • Intelversity Exam: question drafts for the question bank, proctoring signals, and draft marks for evaluators to confirm.

Tell us what is breaking on your campus.

Book a guided demo on a sample institution with fictional data. You pick the time yourself from our email.

See it with your own programmesBook a demo