Embedd, a London-based infrastructure startup for physical AI systems, has raised £2 million in pre-seed funding led by Seedcamp, with participation from Cocoa, Connect Ventures, 2100 Ventures, Vesna Capital, U.ventures, Underline Ventures, Common Magic and Roosh Ventures.
At issue is a challenge facing developers of intelligent hardware systems: enabling software to communicate effectively with a growing number of semiconductor components. As robotics and physical AI applications become more widespread across manufacturing, automotive and healthcare, software teams are often required to manually interpret extensive technical documentation and write integration code for different chips. Embedd's platform creates a digital twin of hardware components, providing AI agents with the context needed to automate integration tasks and generate the software required for hardware functionality. Customers have used the approach to deliver production-ready chip software up to six times faster.
Founded by Ukrainian entrepreneurs Michael Lazarenko, Maxim Gorinov and Valentin Gololobov, the business grew out of challenges encountered at the founders' previous hardware company, which faced component shortages during the Covid-19 pandemic and later disruption following Russia's invasion of Ukraine. Repeatedly adapting software to support alternative components highlighted what the founders saw as a growing industry bottleneck.
Since its commercial launch in April 2026, Embedd has secured contracts with several semiconductor manufacturers. Among its recent partnerships is an agreement with Microchip Technology, where Embedd is helping enable support for the Zephyr real-time operating system. The new funding will go towards further developing the platform and expanding work with semiconductor companies.
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 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.
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.
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.
