With the help of DeVC, GSF Accelerator, Indian Angel Network (IAN), and other investors, the deeptech startup AuraML has raised $1 million in a pre-seed funding round led by Turbostart.
The money will be used to scale enterprise pilots in next-generation autonomous systems, industrial robotics, and warehouse automation, as well as to speed up product development and increase the company’s footprint in the US.
AuraML, a generative simulation platform founded by Ayush Sharma, is helping robotics companies model, test, and deploy systems more quickly, safely, and affordably. By providing realistic testing environments for autonomous mobile robots (AMRs) and forklifts, its technology aids in bridging the “sim-to-real” gap that conventional simulation tools encounter.
Advanced sensor noise modeling for LiDAR and camera data, text-to-world generation, and scalable cloud-based multi-robot deployment testing are some of AuraML’s simulation features. Timelines can be reduced from six months and $500,000 to just one week at a fraction of the cost by switching from physical to virtual testing, according to AuraML.
Scalable, real-world-ready robotics development is supported by its platform, AuraSIM, which blends synthetic data engines with physically realistic 3D environments.
