Chip software automation startup Embedd raises $2.7M
Physical artificial intelligence chip infrastructure startup Embedd Ltd. says it’s ready to fix one of the most critical bottlenecks in the multibillion-dollar robotics industry after raising $2.7 million in a pre-seed round of funding. Today’s round was led by Seedcamp and saw the participation of Cocoa, Connect Ventures, 2100 Ventures, Vesna Capital, U.ventures, Underline Ventures, Common Magic and Roosh Ventures.
Embed says that almost $19 billion has been invested in so-called physical AI this year – things like autonomous cars, connected medical devices, humanoid robots and so on. Yet almost all of these intelligent machines have had to struggle with the same problem before they can bring a product to market. That problem is that the software that powers it needs a way to communicate with dozens of different semiconductors embedded into their hardware.
Unfortunately, none of these chips share a common language, which means that engineers are forced to manually write the code that allows them to communicate with each other and the underlying system software.
Embedd’s founders have experienced this problem first hand. The startup was founded by three Ukrainian technology entrepreneurs, Michael Lazarenko, Maxim Gorinov and Valentin Gololobov. They created Embedd after their previous hardware company faced chip shortages due to the COVID-19 pandemic, and later, the invasion of their country by Russia. Due to these events, they ended up sourcing dozens of new components for their hardware, and found that they had to repeatedly rewrite software for each one. It was then that they realized they’d come across a major bottleneck that would only get worse as physical AI becomes more prevalent in the world.
