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Bengaluru-based synthetic image data platform for computer vision and robotics, AuraML has raised $1 million in a pre-seed funding round led by Turbostart.
The round also saw participation from DeVC, GSF Accelerator, Indian Angel Network (IAN) and other investors.
The funds will be used to fast-track product development, strengthen its footprint in the US, and scale enterprise pilots in warehouse automation, industrial robotics and next-gen autonomous systems.
Read also- Deeptech startup Sthyr Energy secures $1 million from Speciale Invest, Antares Ventures
About AuraML
Launched in January 2023 by Ayush Sharma and Arjun Gupta, AuraML is developing a generative simulation platform that helps robotics companies model, test and deploy systems more quickly, safely and affordably.
It addresses the common “sim-to-real” gap in traditional tools by creating highly realistic testing environments for autonomous mobile robots (AMRs) and forklifts.
The platform offers features like text-to-world generation, advanced LiDAR and camera sensor noise modeling and scalable cloud-based testing for multi-robot deployments. By replacing physical testing with virtual simulations, AuraML claims it can reduce development timelines from six months and $500,000 to just one week at a much lower cost.
AuraML’s core product, AuraSIM, blends physically accurate 3D environments with synthetic data engines to support scalable and real-world-ready robotics development.
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