SafeWorld said its platform can work in a range of industries with a range of robot embodiments, including robots arms, humanoids, mobile robots, and more. | Source: SafeWorld
SafeWorld this week emerged from stealth with $12.2 million in seed funding. The startup aims to make safety testing on AI-powered robots easier with its simulation technology.
“Our point of view is that if you’re going to have more capable robots, it just makes sense that you need to have more capable ways to test and to validate those robots,” Kyle Wong, co-founder and CEO of SafeWorld, told The Robot Report. “Otherwise, you’re not going to deploy those robots.”
“We already have been using robots for maybe 100 years,” said Ding Zhao, co-founder of SafeWorld and director of the Safe AI Lab at Carnegie Mellon University. “We started the company today because, when AI came, it actually brought automation to the next level. The robots, for the first time, were allowed to go out of the cage and share the same space with humans.”
Zhao asserted that this level of collaboration requires a whole new level of understanding for the robot, which is where SafeWorld comes in.
Shine Capital and a16z Speedrun co-led the funding round. It also included participation from Box Group, Carnegie Mellon University Endowment, Innovation Endeavors, SV Angel, and other leading venture capitalists and angel investors.
Ultimately, SafeWorld wants to make it easier for robotics companies to build safe systems. -based company currently has customers in industrial, manufacturing , logistics , construction , and even some home use cases, Wong said.
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