AutoVRse builds enterprise VR training software for industrial workers who still learn too much from SOP documents, shadowing, and costly on-site demos. That’s the pitch behind its new $2.4 million, or about ₹22.7 crore, round co-led by Singularity AMC and existing backer Lumikai. Founded in 2016 by Ashwin Jaishanker and Adarsh Muthappa, the Bengaluru company is now using that capital to push harder into North America and Europe while tightening up the product. For industrial learning tech, that matters. Buyers don’t want flashy XR demos anymore. They want training systems that fit into plant operations.
What does AutoVRse’s enterprise VR training platform do?
AutoVRse’s core product is VRseBuilder, a platform that turns real operating knowledge from experienced workers into structured digital workflows that can then be used for VR training, digital twins, remote assistance, and AI-powered field guidance. In plain English, a company can take a process that usually lives in a veteran operator’s head, convert it into repeatable training logic, and deploy that across sites without rebuilding everything from scratch.
The product stack is more specific than a typical “we do XR” pitch. Studio is built for rapid content creation and prototyping. Workshop is a no-code layer for modifying learning flows and localizing content. It also lets teams customize modules without heavy engineering work. Pulse is the analytics layer, tracking performance, retention, and skill development inside the VR workflow itself. Fleet handles user and device management. Content management, plus LMS and HRIS integration, are built in.
The company is also pushing the platform beyond static simulations. VRseBuilder’s smart learning modules adapt difficulty based on learner performance, which matters in industrial training. One worker may need basic procedural repetition. Another may need edge-case decision practice. The system is also mixed-reality ready, so training can be blended with real equipment and collaborative remote sessions instead of staying trapped inside a headset-only experience.
What disappears for the customer is a lot of ugly manual work. Instead of hiring an outside XR studio for every update, waiting for a custom build, then rolling that out site by site, training teams can adjust modules and localize them from one software layer. They can measure outcomes there too.
Who founded AutoVRse and why is its enterprise VR training credible?
A long founder build, not a quick trend chase
AutoVRse was founded in 2016 in Bengaluru by Ashwin Jaishanker and Adarsh Muthappa. The two had known each other since school in 2008, then split for engineering in 2010 — Jaishanker to BITS and Muthappa to RVCE — while still spending summers building apps and entering hackathons. That kind of history matters. This wasn’t a pair of founders discovering XR after ChatGPT made enterprise AI hot again.
Why the founders fit this category
Jaishanker runs the CEO side of the business, and Muthappa has been the technical and game-direction half of the company from the start. The split makes sense because enterprise VR is awkward to build if you only understand software, and just as awkward if you only understand content. It needs workflow mapping and simulation design. It also needs enterprise sales and patient deployment work. Jaishanker’s background included time around Citi through his network and early team circle, while Muthappa’s profile ties him closely to XR and simulator-building from the engineering side.
The company started services-led, then moved toward product
Before VRseBuilder became the center of the story, AutoVRse looked more like an enterprise XR studio. Early adopters included TVS Motors, Accenture, Bosch-Siemens, and Abbott Labs. That gave the founders a useful education: enterprises liked immersive training, but one-off projects don’t scale cleanly. The smarter move was to productize the messy parts. Content creation, deployment, analytics, and workflow reuse became a platform.
Traction is strong enough to make this round believable
AutoVRse now serves more than 50 enterprise customers worldwide, including Amazon, Shell, Bosch, NTPC, HDFC Bank, JSW Steel, and Vedanta. Its tools are used by more than 500,000 workers across North America, Europe, India, and East Asia. The company crossed $8 million in annual recurring revenue within 12 months of rolling out its global product and has been growing revenue at 250% year over year. Those aren’t tiny pilot numbers. The product is already live inside real operations.
The fundraising history is straightforward
This new $2.4 million round comes about 2 years after AutoVRse raised a $2 million seed round in February 2024 led by Lumikai, with participation from TensorFlow cofounder Rajat Monga and Jumper.ai founder Yash Kotak. Back then, the plan was to strengthen VRseBuilder and build a dedicated B2B sales team in the US. This time, the priorities are broader: international expansion in North America and Europe, stronger product capability, compliance certifications, and integrations with learning and quality systems.
Who it competes with — and what makes it different
The direct comparison isn’t with consumer VR apps. It’s with enterprise immersive-learning vendors such as Strivr, plus industrial training specialists and custom simulation shops that build bespoke modules for factories, utilities, and field teams. The older alternative is even less glamorous: classroom sessions, PDF procedures, trainer-led walkthroughs, and tribal knowledge passed from one shift to the next.
AutoVRse’s angle is pretty clear. It isn’t just selling content production. It’s selling a platform with authoring and customization. It also brings analytics, deployment controls, adaptive modules, and field-guidance extensions in one stack. That gives it a shot at being stickier than a project vendor and more industrially specific than broad corporate-training VR platforms.
Why this enterprise VR training round matters for AutoVRse
This round matters because it looks like execution money, not validation money.
AutoVRse already had enough proof points to show that industrial buyers will pay for immersive training when it reduces risk, shortens ramp time, or standardizes procedures across sites. What it needs now is the boring stuff that actually turns an Indian deeptech product into a global enterprise software company. Certifications, integrations, regional sales muscle, and a product that fits into existing training and quality systems without drama.
And that’s the hard part. Selling into factories in North America and Europe isn’t about dazzling buyers with headsets. It’s about passing procurement reviews and fitting into LMS workflows. It also means handling governance and proving that updates can be rolled out at scale. If AutoVRse uses this capital well, it moves from being an impressive XR vendor to becoming part of the operating stack for industrial learning and field execution.
There’s also a quieter product story here. The company’s field-assistance and smart-glasses direction means it isn’t boxed into training alone. If the platform keeps extending from simulation into live operational guidance, the revenue opportunity gets wider. The software also gets harder to rip out later.
Why are investors backing enterprise VR training now?
Because the market has finally stopped treating industrial XR like a novelty.
One useful number: the global training-and-simulation segment of the industrial metaverse generated $3.323 billion in revenue in 2024 and is projected to hit $16.475 billion by 2030, a 32.3% CAGR. North America was the biggest revenue market in 2024. That doesn’t guarantee any one startup wins. But it does show that immersive industrial training is now a real software budget line, not just an experimental lab item.
The timing also matches a broader shift in Indian venture money. Investors have been leaning toward domain-specific AI startups rather than broad consumer AI plays. Equal AI raised $30 million from Prosus and Tomales Bay Capital last week, while TrueFan AI raised $10 million earlier in June from investors including Baring PE India and Z3Partners. In the first quarter of 2026 alone, AI startups in India pulled in $253 million across 29 deals.
For AutoVRse specifically, manufacturing is a sweet spot because the workflows are getting harder, not simpler. New production methods and EV-related complexity add to the challenge. So do skilled labor shortages, tighter safety expectations, and global multi-site operations. That’s where immersive training stops being a “nice demo” and starts being a practical operations tool.
Can AutoVRse turn enterprise VR training into a global business?
It can. But now it has to prove that the product travels as well as the pitch.
AutoVRse already has something a lot of XR startups never got: actual industrial adoption, recurring revenue, and a product that sounds more like software than services. Enterprise VR training is finally getting bought for operational reasons, not just experimentation. The next thing to watch is whether AutoVRse can turn Indian deployment success into durable North American and European platform revenue without getting dragged back into custom-project mode.
Read how Zumutor Biologics raised $7.3M (₹70 crore) to advance ZM008, a first-in-class antibody designed to unleash natural killer cells against solid tumours by blocking the LLT1 immune checkpoint and overcoming resistance to traditional immunotherapies.
FAQ
- What is the latest AutoVRse funding round?
AutoVRse has raised $2.4 million in a round co-led by Singularity AMC and Lumikai. The company plans to use the money for expansion in North America and Europe, while also strengthening the product with deeper enterprise integrations and certifications. - How does AutoVRse’s product work?
AutoVRse runs VRseBuilder, which converts real operational workflows into structured training and guidance modules for industrial teams. The platform includes content creation and no-code customization. It also includes performance analytics and deployment management, so companies can build and scale immersive training without rebuilding every module manually. - Who are the founders of AutoVRse?
AutoVRse was founded in 2016 by Ashwin Jaishanker and Adarsh Muthappa in Bengaluru. They’d known each other since school, went on to study engineering at BITS and RVCE, and spent years building apps and experimenting with immersive technology before turning that experience into a company. - Is AutoVRse an AI startup or an enterprise VR training company?
It’s both, but the cleaner label is an enterprise VR training company for industrial use cases. Its platform combines immersive learning with AI-powered workflow structuring and field guidance, which is why it sits inside the larger industrial training and enterprise XR market that’s growing fast globally.
