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intelligaiahumanizing AI for enterprises
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The Entrance  /  Education

AI your campus actually uses. Data that stays on campus.

Private AI behind your campus firewall, and a team to bring it into the SIS, the LMS and the research portal.

  • On-prem or private cloud
  • Open-weight models
  • SSO and audit logging
  • Student data stays on campus
0+years of product
design and engineering
0+engagements
delivered
4.7 / 5Based on 9 client reviews

Pick your no-cost start

Choose your no-cost offers

A person from our team writes back within a day. No drip emails.

We’ll use your details to respond to your request. Privacy policy.

Yantra mark
Yantra · the private AI platform

Stop renting intelligence. Own it.

A private AI gateway inside your campus network. Every request passes through it, runs on the model it needs under your rules, and teaches a model you own.

Inside the tools your campus already uses

One gateway. Mail, calendar, drive, Teams, Slack, Meet and slides.

The same rules and the same audit log in every app. An admissions team gets a first draft reply, written from approved policy, waiting for a person to send.

Yantra as one gateway connected to Microsoft Mail, Gmail, Google Calendar, Google Drive, Google Meet, Microsoft Teams, Slack and PowerPoint
Medha mark
Medha · the chat experience

One place to ask.

Students and staff ask in plain words. Medha answers from approved campus sources, cites each one, and hands over to a person when it is not sure.

  • Answers only from approved sources
  • A source with every answer
  • Says when it does not know, and hands over
  • Runs through Yantra, under the same rules

Design concept. Medha is being rebuilt now; early access comes with the two-week platform offer.

Students and staff
medha-campus:latest ⌄+
I missed the deadline to change one elective. What can I do now?
medha-campus:latest
Is there a fee for this?
medha-campus:latest
Clarity Capsule · learning

Learning that ends in a skill people use.

AI-led learning for faculty development, staff training and short courses. One step a day, answers only from the course, and proof it worked. Runs on your own hardware, through Yantra.

Emma, pension services officer
Emma’s first weekPension services officer · goal set by her manager Pema: use AI safely at work
Clarity Capsule course invitation
AI design and engineering services

Build yours with the team behind these.

From the workflow you frame to the product your team owns. Step off after any stage.

Frame · in weeks

Agree the workflow, priorities and path to delivery.

Most Frames start with the no-cost AI Readiness Evaluation.

You leave withA clear workflow and delivery direction
→
Prototype · in a quarter

Put a working experience in your team's hands.

Test it with real students and staff before a full build.

You leave withA working experience to use and learn from
→
Own · for the work ahead

Take ownership of the product and its next chapter.

We stay through rollout and adoption until your team runs it.

You leave withA product your team owns
Get your AI readiness evaluation ↗Experience across enterprise platforms, AI and product systems.
Proof in practice

Done at scale.

Experience across complex systems and the people who use them.

What leaders ask first.

The questions both offers raise, answered before you have to write to us.

What does the AI readiness evaluation cover?
People, data, tools and governance: one session with your leads, a scored read across the four, and your first three moves. The report comes within a week. It costs nothing and asks nothing in return.
What is in the two weeks on the private platform?
A private workspace with Yantra as the gateway and Clarity Capsule live for a pilot group of yours, with your roles and your policies loaded. You keep the findings and the data.
Where does our data go?
Through Yantra, inside your workspace. What a provider processes, retains or trains on depends on the provider and your configuration; Yantra keeps those decisions with you and logs every request.
Who runs it?
A named pod: a designer, an AI engineer, a researcher and a lead. The same people through Frame, Prototype and Own, until your team runs it without us.
What happens after the two weeks?
You decide. Keep the workspace, build with the pod, or take the findings and go your own way. There is no sequence and no sales call unless you ask for one.

Two no-cost
ways to start.

An AI Readiness Evaluation, or two weeks on our private AI platform.