Antioch prepares to speed up simulated testing for autonomous robots after raising $8.5M

Antioch Inc., a developer of cloud-based simulation software for artificial intelligence-enabled robots, has raised $8.5 million in funding to speed up the event of more autonomous systems outside the physical world.

Today’s round, which comes just 4 months after the startup raised $4.5 million in pre-seed funding, was led by A* and Category Ventures. Others, including MaC Enterprise Capital, Abstract, Box Group and Icehouse Ventures also participated, as did angel investors including Shyam Sanker of Palantir Technologies Inc. and Adrian Macnei of Foxglove Inc.

Antioch’s mission is to switch the necessity for robotics firms to conduct testing within the physical world using real hardware and elaborately prepared spaces where it could actually be put through its paces. Generally, validating that robots behave as they’re designed to in the true world is amazingly expensive and time-consuming. It requires developers to rent and prepare a physical space with different staging environments, after which resetting the hardware after every test run. The method is each expensive and cumbersome, and only ever covers a small fraction of the scenarios most robots will face once they’re deployed in real-world production environments.

That’s why simulation could be so powerful. Through the use of a mix of physics and rendering engines with essentially the most advanced “world models,” it’s possible to create digital twins of robots and simulate realistic environments that could be used for testing as a substitute. But the issue is that this infrastructure is evolving far too rapidly for many developers to maintain up, with latest models and software tools always emerging with latest capabilities.

Antioch’s role is to construct the “platform layer” that connects developers of autonomous machines to this wave of constant innovation. Co-founder and Chief Executive Harry Mellsop (pictured, far left), who previously helped develop Tesla Inc.’s Autopilot software, compares his company to Cursor, the generative AI coding platform that makes the most recent AI models immediately accessible to software developers. Its goal is to do the identical for “autonomy teams” by ensuring they’re at all times in a position to access essentially the most advanced simulation and infrastructure tools for testing robots.

More specifically, Antioch has developed a cloud simulation platform that allows teams to create digital twins of any sort of robot, so that they can quickly validate any AI-powered system before it’s deployed in the true world. The goal is to eliminate the testing cycles that decelerate robotic development. So as a substitute of spending hours resetting a robot or moving it from one place to a different, developers can just click just a few buttons to prepare for the subsequent test. Furthermore, they will perform hundreds of tests in parallel by spinning up multiple digital twins of their robots without delay.

“Robotics teams spend weeks staging warehouses and investing tens of millions into test facilities to validate their systems,” Mellsop told SiliconANGLE. “Meanwhile, firms like Tesla, Waymo and Anduril spend tons of of tens of millions a 12 months on simulation infrastructure to reduce exactly that. We predict every autonomy team must have access to that level of tooling.”

Mellsop and two of his co-founders, Alex Langshur (second from right) and Michael Calvey, previously founded a security and intelligence startup called Transpose Inc. that was acquired by Chainalysis Inc. in 2023. That company grew to serve numerous U.S. intelligence and law enforcement agencies, and the co-founders imagine that they’re once more serving America’s best interests with Antioch.

Langshur explained that America used to have a big manufacturing advantage over the remainder of the world, only to throw it away through offshoring. Consequently, it’s not the manufacturing capital of the world, and that’s something the present U.S. administration is trying to handle. “The one economically viable path to reindustrialization runs through robotics and automation, and scalable testing is the rate-limiting step,” he insisted.

Mellsop told SiliconANGLE that the potential of doing this far exceeds even the AI industry that’s becoming critical to robotics and automation today. He points out that the industries currently being disrupted by AI, reminiscent of software, skilled services and knowledge work, represent around $8 trillion of the worldwide economy.

“But manufacturing, logistics, construction, energy and agriculture represent greater than $50 trillion,” he said. “AI penetration in those industries is largely zero today. The commercial revolution that’s coming with physical AI won’t be a sequel to the LLM revolution, it is going to dwarf it.”

Photos: Antioch