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AutoVRse Funding Puts India’s Industrial AI Training Stack Under Investor Scrutiny

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AutoVRse raised $2.4 Mn from Singularity AMC and Lumikai, giving the India-based AR/VR training startup fresh capital for North America and Europe while it claims more than 50 enterprise customers.

Verified against source materialEdited by SendTech Times AI & Enterprise DeskSource: Inc42
AutoVRse Funding Puts India’s Industrial AI Training Stack Under Investor Scrutiny

AutoVRse Raises Capital For Industrial Training

AutoVRse secured $2.4 Mn, or ₹22.7 Cr, with Singularity AMC and Lumikai leading the round.

The India-based company builds AR/VR training and field-assistance tools for enterprise and industrial workers, rather than a consumer headset application.

The new round follows a $2 Mn seed raise led by Lumikai in February 2024.

AutoVRse said the latest capital will support expansion in North America and Europe and strengthen its product offerings.

That geographic target matters because the startup is trying to sell training infrastructure into industrial markets where deployments must fit existing workflows, safety practices and field operations.

AutoVRse was founded in 2016 by Ashwin Jaishanker and Adarsh Muthappa.

Its customer list, as claimed by the company, includes Amazon, Shell, Bosch, NTPC, HDFC Bank, JSW Steel and Vedanta.

The named accounts give the round more weight than a generic enterprise software raise, because the product is tied to training and assistance use cases inside manufacturing, energy, banking, steel and healthcare environments.

VRseBuilder Is The Operational Data Layer

The central product is VRseBuilder.

AutoVRse says the platform captures workflows from experienced workers and turns them into structured data for VR training, digital twins, remote assistance and AI-powered field guidance.

That is the strategic part of the company’s pitch.

In industrial settings, training content is not only a video or a slide deck.

A useful system has to preserve process knowledge from experienced staff and present it in formats that workers can use on the floor.

AutoVRse is positioning VRseBuilder as the layer that converts those practices into reusable digital workflows.

The platform’s claimed reach is more than 5 Lakh workers, spanning North America, Europe, India and East Asia.

AutoVRse claims more than 50 enterprise customers globally and says it crossed $8 Mn in annual recurring revenue within 12 months of launching its global product.

The available material also states that revenue has been growing at 250% YoY.

Enterprise Proof Is The Main Test

The investor case rests on enterprise adoption, not only on immersive technology.

AutoVRse’s product set includes VR-based training modules and smart glasses-enabled guidance systems for manufacturing, pharmaceuticals, energy and healthcare.

Those sectors usually require measurable operational outcomes before software pilots become repeat contracts.

The 2024 seed round showed the same direction.

AutoVRse said at the time that it would use the capital to strengthen VRseBuilder and build a dedicated B2B sales team for the US market.

The new round keeps that commercial path intact, but widens the expansion target to North America and Europe.

The funding also fits a broader India enterprise AI investment pattern described in the source material.

Equal AI raised $30 Mn from Prosus and Tomales Bay Capital last week, while TrueFan AI raised $10 Mn from investors including Baring PE India and Z3Partners earlier in June.

Funding for AI startups reached $253 Mn across 29 deals in the first quarter of 2026.

What matters now is International Deployment

AutoVRse has disclosed customer names, worker reach, ARR and target markets, which gives editors and investors concrete items to test.

What matters now is whether the North America and Europe push converts claimed enterprise usage into repeat deployments for VRseBuilder, VR training and smart-glasses guidance.

The public record still lacks deal-by-deal contract values or customer-by-customer rollout details in the available material.

That limits how far the funding round can be read as proof of scale.

For now, the round shows investor backing for a specific industrial AI and AR/VR workflow stack, with international execution becoming the evidence to watch.

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