A Divyarshi AI product family

How we work

Nothing is agreed on a slide.

You see the software working with your own programmes, roles and terminology before you commit to anything. Then we go live in phases, on your academic calendar.

  1. DiscoveryWe learn how your offices work and agree a written scope.
  2. Configured demoYour programmes, roles and terms on a sample institution with fictional data.
  3. PilotOne module and one cohort, with real users and clear success measures.
  4. Go-liveData migration and roll-out in phases, each with a rollback plan.
  5. OperateWe run, support and extend the platform with you.

Engagement models

Four ways to work with us.

Platform subscription

We host and operate the software for you, with updates included.

Institution deployment

The platform runs on your own cloud account, with an annual maintenance agreement.

Build & extend

New modules or a custom product built to a written scope. See custom builds.

Managed operations

We run day-to-day operations such as onboarding cohorts, exams and support, alongside your team.

We don't publish a price list, because cost depends on scope, modules, student numbers and where it runs. After discovery you get one written proposal with one commercial model, and metered services such as messaging and AI are passed through at actual cost.

How we run live systems

When a result page fails on results day, the whole institution feels it.

So every risky feature sits behind a switch, every release has a rollback written before it ships, and we plan releases around the academic calendar.

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