AI has limitless applications in the physical world – but a huge practical problem.
Any intelligent machine is built using chips from dozens of different manufacturers. None of them are able to communicate with each other. Wiring them up means engineers writing pages of custom integration code for every single chip, by hand.
That’s the bottleneck Embedd is building to solve. We’re thrilled to lead their $2.7 million pre-seed round, alongside Cocoa, Connect Ventures, 2100 Ventures, Vesna Capital, U.ventures, Underline Ventures, Common Magic and Roosh Ventures.
Founders Michael Lazarenko, Maxim Gorinov and Valentin Gololobov know this problem intimately. They were running a hardware company when Covid-era shortages forced them to source whatever chips they could find and rewrite their software from scratch each time. Each new chip meant weeks of manual integration work. Then Russia’s invasion of Ukraine disrupted their supply chain again, and they were back to square one. This pattern convinced them the problem would only get worse as physical AI scales.
Lazarenko said: “The next wave of AI will power factories, vehicles, robots and critical infrastructure, but today, every change in hardware creates huge complexity for software teams and that friction is already massively slowing innovation. We built Embedd to address exactly that, and we’re thrilled to have the backing of Seedcamp as we scale.”
The next wave of AI will power factories, vehicles, robots and critical infrastructure, but today, every change in hardware creates huge complexity for software teams and that friction is already massively slowing innovation. We built Embedd to address exactly that, and we're thrilled to have the backing of Seedcamp as we scale.Michael Lazarenko ~ Embedd
The platform creates a digital twin of a chip, then uses AI agents to generate the integration code engineers would otherwise write by hand. Embedd says the approach lets manufacturers ship production-ready chip software up to six times faster. It’s already live with Microchip Technology, with Zephyr support among the first integrations.
Rodger Richey, Microchip’s VP of Development Systems and Academic Programs, said: “The competitive question in embedded is no longer whose silicon is fastest, it’s whose silicon is easiest to build on. Our work with Embedd is about meeting developers inside the software ecosystems they’ve already committed to, rather than asking them to come to ours.”
Carlos Eduardo Espinal MBE, General Partner at Seedcamp, said: “AI’s next chapter will play out in the physical world, but today’s software stack was never designed for that reality. Embedd is tackling one of the fundamental challenges facing industries from robotics and manufacturing to healthcare and automotive, and we’re excited to back Michael and the team as they build the infrastructure underpinning the next generation of intelligent machines.”
Embedd will use the funding to keep building out its platform and expand its work with semiconductor partners. As Lazarenko put it: “The promise of physical AI is enormous, but today’s hardware fragmentation is slowing innovation. This funding enables us to expand our platform and help more semiconductor companies bring their devices into emerging software ecosystems.”