What inspired you to start MediSim VR, and how has your vision for virtual reality in healthcare training evolved since the company’s founding?
What struck me early on was a structural gap in healthcare education. We were increasing medical seats and expanding institutions, yet the way we trained doctors and nurses had not fundamentally changed in decades. Clinical exposure remained inconsistent, access to simulation was limited, and this directly affects patient safety, especially in a high volume country like ours.
I did not see this as a content problem. I saw it as an infrastructure problem.
MediSim VR began with a simple conviction: immersive simulation should not be an accessory in medical education; it must be core infrastructure. Over time, our vision evolved from building standalone VR modules to architecting a scalable training ecosystem integrating hardware, software, content distribution, analytics, and now AI powered assessment.
Today, we are not thinking about “VR adoption.” We are focused on building competency infrastructure for healthcare systems at scale.
What have been the biggest challenges you’ve faced in scaling a technology-driven startup in the healthcare education sector, and how did you overcome them?
Healthcare education is deeply traditional, and rightly so. Patient safety leaves little room for experimentation. The greatest challenge, therefore, was not technology. It was trust.
Institutions do not adopt innovation because it is impressive. They adopt it because it improves outcomes without disrupting existing systems.
We addressed this by embedding ourselves within institutions. Instead of merely pitching technology, we established labs, co-created programs, aligned with curriculum standards, assumed responsibility for lab operations, and demonstrated measurable improvements in competency.
Another challenge was integrating hardware, software, and pedagogy into a single, cohesive system. Many players excel at one component. We chose to build the full stack because healthcare training cannot afford fragmentation.
Scaling in this sector demands patience, credibility, and proof, not hype.
How do you balance innovation with user adoption especially when introducing advanced technology like VR into traditional healthcare training environments?
Innovation without adoption is theatre.
In healthcare education, we never lead with technology. We lead with outcomes.
When we introduce VR into traditional training environments, we anchor it to competency benchmarks, OSCE frameworks, and established faculty workflows. The objective is not to replace educators, but to empower them.
We design simultaneously for institutional leadership, who prioritise infrastructure strength and return on investment; for faculty, who value seamless integration; and for students, who seek engagement and confidence.
Adoption accelerates when innovation reduces friction rather than adding to it.
MediSim VR emphasises competency-based VR training and AI-powered assessments. How do you see the role of AI evolving within your platform, and what future capabilities are you most excited about?
AI is the natural next layer in simulation.
VR creates immersive practice environments. AI makes them intelligent.
Today, AI enables a shift from exposure based training to measurable competency tracking, real time feedback, skill analytics, and performance benchmarking across cohorts.
What excites me most is adaptive learning. The ability of the system to identify where a learner struggles and dynamically adjust scenarios, complexity, and repetition until competency is achieved.
In the long term, I see AI enabling national level skill mapping through anonymised data that allows institutions and policymakers to identify training gaps at scale.
That is transformative.
You’ve launched VR skill labs and Centers of Excellence in collaboration with institutions like KD Hospital and SRIHER. Can you share insights on how these partnerships have influenced your product development and adoption strategy?
Our institutional partnerships are not distribution channels. They are innovation partnerships.
When we launched Centres of Excellence with institutions such as KD Hospital and SRIHER, we did not simply deploy technology; we observed behaviour.
We examined how long students spent within modules, where they hesitated, how faculty integrated simulation into teaching schedules, and which metrics mattered most to hospital administrators.
These collaborations sharpened our product in two critical ways. We optimised for seamless workflow integration, and we strengthened our assessment engine in alignment with real clinical expectations.
The result is a platform built not in isolation, but within active institutional ecosystems.
Looking ahead, what markets or segments such as global medical education, hospital training, or patient-centered VR therapies-do you see as the most significant growth opportunities for MediSim VR?
There are three major growth vectors.
First, institutional medical education, both in India and globally. Countries expanding medical seats face the same challenge: how to scale training quality alongside volume.
Second, hospital workforce training. Continuous competency validation for nurses, emergency teams, and specialty departments will become mandatory, not optional.
Third, cross border adoption. Emerging healthcare markets are leapfrogging legacy simulation infrastructure. VR enables them to scale rapidly without massive physical buildouts.
While patient centred VR therapies are promising, our core focus remains healthcare training infrastructure. That is where the structural impact lies.
We are building for scale, not novelty.