AuraML Raises $1M Pre-Seed to Revolutionize Robotics Simulation

AuraML, a deep tech startup pioneering generative simulation for industrial and warehouse robotics, has raised $1 million in pre-seed funding. The round was led by global venture capital and accelerator fund Turbostart, with participation from DeVC, GSF Accelerator, IAN, and other investors.

Founded with the mission to reinvent how intelligent machines are trained and tested, AuraML’s simulation engine allows enterprises to model, test, and deploy robotic systems faster, safer, and more cost-effectively.

With this funding, AuraML will double down on product development, expand its U.S. footprint, and support enterprise pilots in warehouse automation, industrial robotics, and next-gen autonomous systems.

Solving the Real-World Bottlenecks in Robotics Development

Developing high-performing robotic systems traditionally requires months of real-world testing and significant investment—often hundreds of thousands of dollars in physical infrastructure. AuraML is transforming this paradigm. For example, a typical warehouse robotics company must deploy hundreds of robots operating in seamless coordination 24/7. These systems must withstand harsh and unpredictable environments—low lighting, airborne dust interfering with sensors, complex multi-agent coordination, and irregular object placements. AuraML’s technology dramatically accelerates this process while reducing reliance on costly physical trials.

These companies often spend months or even years testing robots in real-world settings, requiring constant human monitoring during soft deployments. Each new facility adds new testing cycles. Traditional simulators fall short, unable to accurately replicate real-world complexity or scale effectively—resulting in sim-to-real gaps and performance limitations.

Bringing Deep Tech Innovation From India to the Global Stage

Sharing his thoughts, Mr. Ayush Sharma, Co-Founder and CEO at AuraML, said, "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. Today, India's deep tech ecosystem is rising, and we are glad to be at the forefront and receive so much support. At AuraML, we want to show it is indeed possible to build companies doing fundamental GenAI research from India, and we hope people join us in this mission. Indian researchers abroad now have a place back home if they choose to return."

AuraML addresses these challenges through a simulation platform that enables robotics companies to test AMRs and autonomous forklifts across diverse real-world-like scenarios. The platform allows for building robots ready for complex, dynamic environments by providing automated testing that saves time and reduces costs compared to traditional methods.

Key capabilities include text-to-world generation to create diverse testing environments, advanced simulation of LiDAR and camera sensor noise, and scalable cloud infrastructure for multi-robot deployment testing. The platform integrates seamlessly into existing robotics workflows.

By shifting testing from physical to virtual environments, AuraML reduces timelines and costs dramatically, cutting a six-month, $500,000 process down to just one week at a fraction of the cost, without compromising safety or real-world relevance.