CONNECT WITH US

Tech

AutoVRse raises $2.4 Mn from Singularity AMC and Lumikai

Published on

AutoVRse raises $2.4 Mn from Singularity AMC and Lumikai

AutoVRse, an industrial AI transformation platform, has raised $2.4 million in a funding round co-led by Singularity AMC’s Large Value Fund III and Early Opportunities Fund, along with existing investor Lumikai.

Previously, the Bengaluru-based startup had secured $2 million in a seed funding round led by Lumikai in February 2024.

The fresh capital will be used to accelerate product development, deepen integrations with customer infrastructure, and expand go-to-market efforts in North America, the company said in a press release.

Founded in 2016 by Ashwin Jaishanker and Adarsh Muthappa, AutoVRse provides AI-powered training and real-time field guidance for industrial operations through VR modules, AI-powered smart glasses, and mobile applications.

The company claims to have served more than 500,000 users across over 50 enterprise customers in North America, Europe, the GCC, and India, including Amazon, Shell, ADNOC, ExxonMobil, Bosch, and NTPC. AutoVRse says it has crossed $8 million in ARR within 12 months of its global product rollout, with nearly half of its revenue coming from international markets and revenue growing 250% year-on-year.

 



Source link

Disclaimer

We strive to uphold the highest ethical standards in all of our reporting and coverage. We StartupNews.fyi want to be transparent with our readers about any potential conflicts of interest that may arise in our work. It's possible that some of the investors we feature may have connections to other businesses, including competitors or companies we write about. However, we want to assure our readers that this will not have any impact on the integrity or impartiality of our reporting. We are committed to delivering accurate, unbiased news and information to our audience, and we will continue to uphold our ethics and principles in all of our work. Thank you for your trust and support.

Google Preferred Source