Can robots learn faster and cheaper—before they even touch the factory floor?
That’s the big question AuraML, a deeptech startup founded by Ayush Sharma, is solving. And with $1 million in pre-seed funding now in the bank, AuraML is ready to take its answer global.
The funding round was led by Turbostart, with participation from DeVC, GSF Accelerator, Indian Angel Network (IAN), and other notable early backers.
At the core of AuraML’s offering is AuraSIM, a generative simulation platform that allows robotics companies to model, test, and deploy autonomous systems faster, safer, and at significantly lower cost. The startup is targeting high-impact sectors like warehouse automation, industrial robotics, and autonomous systems.
“Simulation shouldn’t be an afterthought—it should be the launchpad. AuraML makes virtual testing feel as close to reality as possible,” said Ayush Sharma, founder of AuraML.
AuraSIM stands out by bridging the sim-to-real gap that has long plagued robotics development. Traditional simulation tools often fall short in realism, especially under complex real-world conditions. AuraML brings in innovations like:
- Text-to-world generation for dynamic scenario building
- Advanced sensor noise modeling for LiDAR and cameras
- Cloud-scale testing for multiple robots simultaneously
The impact? What once took six months and half a million dollars can now be achieved in just a week, at a fraction of the cost—without risking real-world equipment or environments.
With this fresh capital, AuraML plans to:
- Expand its product development roadmap
- Grow its presence in the US market
- Scale enterprise pilots and partnerships
In a global race to deploy autonomous robots faster, AuraML’s bet is clear: the future of robotics is simulated first.
– By Muskan Dengra, Indian Startup Times
