AuraML, a startup based in Bengaluru that creates synthetic image data for computer vision and robotics, has raised $1 million in a pre-seed funding round led by Turbostart.
Other investors also joined the funding round, including DeVC, GSF Accelerator, the Indian Angel Network (IAN), and a few others.
AuraML will use the funds to speed up product development, grow its presence in the U.S., and expand testing with big companies in areas like warehouse automation, industrial robotics, and advanced autonomous systems.
AuraML was started in January 2023 by Ayush Sharma and Arjun Gupta. The company is building a simulation platform that helps robotics companies design, test, and launch their systems faster, safer, and at a lower cost.
AuraML solves a common problem in robotics called the “sim-to-real” gap by creating very realistic virtual testing environments. This helps companies better test machines like autonomous mobile robots (AMRs) and forklifts before using them in the real world.
AuraML’s platform includes smart features like text-to-world generation, realistic sensor noise simulation for LiDAR and cameras, and cloud-based testing that supports many robots at once.
By using virtual simulations instead of real-world testing, AuraML says it can cut development time from six months to just one week and save companies a lot of money — reducing costs from $500,000 to a much lower amount.
AuraML’s main product, AuraSIM, combines realistic 3D virtual environments with smart data tools to help robotics companies build and test robots that are ready for real-world use and can grow easily as projects scale.
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