AuraML Raises $1M Pre-Seed Round led by Turbostart to Power Generative Simulation for Industrial Robotics

 

AuraML Raises $1M Pre-Seed Round led by Turbostart to Power Generative Simulation for Industrial Robotics

With this funding, AuraML plans to accelerate product development, broaden its presence in the US, and advance enterprise pilots across warehouse automation, industrial robotics, and next-generation autonomous systems.

AuraML, a deeptech 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 US footprint, and support enterprise pilots in warehouse automation, industrial robotics, and next-gen autonomous systems.

Addressing the occasion, Mr Ganesh Raju, the founder of Turbostart, said, "There's been a lot of chatter about India lacking deep IP-driven innovation. AuraML is a counterpoint. What they're building has the potential to stand shoulder to shoulder with the best simulation platforms globally. Led by founders with incredible technical expertise, they're proof that India's tech stack is ready to take on the world." 

Developing high-performing robotic systems traditionally requires months of real-world testing and significant investment often amounts to hundreds of thousands of dollars in physical infrastructure. AuraML is evidently transforming this paradigm. Consider a typical warehouse robotics company: to operate efficiently, they must deploy hundreds of robots functioning in seamless coordination around the clock. These systems must demonstrate resilience to harsh and unpredictable environments, including low lighting, airborne dust affecting sensors, complex multi-agent interactions, and irregular object placements. AuraML’s technology significantly accelerates this process while reducing the reliance on costly physical trials.

These companies spend months and sometimes years testing the robots in the real world, doing soft deployments where the robots need constant human monitoring. Testing is painstakingly slow and each new deployment at a new facility needs the process to be repeated. Traditional simulators fall short too, lacking the precision and scalability to be able to accurately model the real world. There are large sim to real gap problems and performance limitations.

Sharing his thoughts, Mr Ayush Sharma, the 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 deeptech 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 with their simulation platform that enables robotics companies to test their AMRs 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.

AuraML’s platform offers a range of powerful capabilities designed to streamline robotics development and testing. These include Text-to-World generation, enabling the creation of diverse digital testing environments, and advanced sensor noise simulation for LiDAR and camera data. The platform also supports multi-robot deployment testing through scalable cloud infrastructure and integrates seamlessly with existing robotics workflows. By shifting testing from physical to virtual environments,

Delivering substantial savings in both cost and time, the platform 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.

About Turbostart:

Turbostart is a sector agnostic venture capital and accelerator fund investing globally.

About AuraML:

AuraML revolutionizes real-world AI and robotics training through AuraSIM, a generative platform that transforms simple text prompts into sensor-rich, physically accurate 3D environments. By combining advanced simulations of LiDAR, radar, thermal, and optical data with a powerful synthetic data engine, AuraML enables scalable, industry-ready training and validation.