Deeptech startup AuraML has raised $1 Mn (around INR 8.6 Cr) in a pre-seed funding round led by Turbostart, with participation from DeVC, GSF Accelerator, Indian Angel Network and other investors.
The startup plans to use the fresh capital for product development, expand footprint in the US and support enterprise pilots in warehouse automation, industrial robotics and next-gen autonomous systems.
Founded in 2022 by Ayush Sharma and Arjun Gupta, AuraML enables generative simulation for industrial and warehouse robotics. Its simulation engine allows enterprises to model, test, and deploy robotic systems.
“At AuraML, we see Robotics and Physical AI as the next great leap for humanity. Our role is to help accelerate these innovations by giving researchers and engineers the tools they need to build better and more intelligent robots,” said Sharma.
Robotic systems require months of real-world testing and significant investment in physical infrastructure. AuraML claims that its technology makes this process speedy while reducing the reliance on costly physical trials.
As per the company’s statement, AuraML “enables robotics companies to test their AMRs (autonomous mobile robots) and autonomous forklifts across multiple real-world-like scenarios.
The platform helps companies build robots that are better prepared for complex, dynamic environments by providing automated testing capabilities that reduce both time and costs compared to traditional physical testing methods.”
It also claims to support multi-robot deployment testing through scalable cloud infrastructure and integrates seamlessly with existing robotics workflows. AuraML aims to reduce what typically takes 6 months and $500K into 1 week at a fraction of the cost while maintaining safety and real-world applicability.
Besides, its generative platform, AuraSIM transforms simple text prompts into sensor-rich, physically accurate 3D environments.
(The story will be updated soon)
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