REDWOOD CITY, Calif.—Metamoto, Inc., a startup in scalable simulation for autonomous systems, recently raised $2 million in a seed funding round that will help fuel the company’s go-to-market plans.

Metamoto’s investor group is headlined by Motus Ventures, which led the round, and UL, a strategic investor. As part of the deal, Motus Ventures will act as strategic advisor for Metamoto, and Robert Seidl, general manager of Motus Ventures, joins Metamoto’s board.

“Autonomy has completely overhauled how vehicles are designed, developed, and, especially, tested,” said Chad Partridge, Metamoto’s CEO, in a press release. “Autonomous system software is overwhelmingly complex, not necessarily intuitive, and always evolving. Continuous on-demand simulation is mandatory to verify system integrity and safety via operation over millions of virtual miles, unique edge cases, and varied conditions, every time something changes. Simulation will not replace physical testing, but most problems are resolved in simulation before a vehicle goes out into the real world. Metamoto brings the best of continuous integration and regression testing to this new software driven world.”

“The complexity, development pace, and maintenance cost of highly and fully automated vehicles outpaces current development and testing methodologies,” said Robert Seidl, in the release. “Large scale sensor simulation will play a key role in the functional and safety validation of autonomous systems. Sensor simulation can also generate the massive amount of training data required for deep learning systems that are becoming increasingly popular in this context.”

Other investors in Metamoto’s seed round include Western Technology Investment,, SK Ventures, and Synapse Partners.

Metamoto ( reports that it brings best practices for test and validation of autonomous system software to world-class enterprises while providing simulation-centric products and services. Headquartered in Redwood City, California, Metamoto was founded in 2016 by “a veteran team of enterprise software entrepreneurs with numerous software engineering and autonomous systems successes,” according to the release. Its team is said to offer “scalable continuous test and integration discipline and expertise steeped in simulation, computer vision, machine learning, standards, and regulations.”

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