Build, Operate, Transfer: The Future of University VR Labs

When we first started talking to universities about VR labs, we kept running into the same wall. They wanted the technology, but they didn't want to be permanently dependent on an external vendor. Engineering and medical institutions in particular have a strong cultural preference for self-sufficiency.

That tension shaped how we designed our Centre of Excellence program. We're not interested in selling universities a service they'll need forever. We're interested in giving them a capability they'll own forever.

How It Works

Years 1-2: Build

We set up the physical infrastructure, train the faculty, and develop the initial library of VR modules across the institution's key departments. The university gets a working VR lab and a year of intensive collaboration that builds internal expertise.

Years 2-4: Operate

The university starts operating the lab themselves but with our ongoing support. Critically, this is when their computer science students become part of the program. They learn to build modules, work alongside our engineers, and develop the skills to eventually take over module development entirely.

Year 5: Transfer

By year five, the institution is producing its own modules. Their faculty trains incoming students. Their CS students build the next generation of modules. We step back. The institution owns the capability.

The measure of a successful Centre of Excellence isn't how dependent the university stays on us. It's how independent they become.

Why Universities Need This

Higher education in India faces a structural problem. Traditional lab infrastructure is wildly expensive to maintain. Medical schools spend lakhs on cadavers. Engineering schools spend crores on machine tools that become obsolete within years.

The CS Builder Pipeline

The hidden benefit is what happens to the computer science students who participate. They graduate with deep experience in VR development, simulation systems, and applied AI. These are some of the most employable skills in technology right now.

What Makes It Hard

The honest part is that BOT is harder for everyone involved than the traditional vendor model. Universities have to commit faculty time. Students have to invest themselves in something that pays off later. Vendors have to be willing to make themselves obsolete. None of that is comfortable, but the model is built around outcomes that last.