Seedcamp leads $2.7M round for Ukrainian-founded physical AI startup Embedd — TFN
Seedcamp leads $2.7M round for Ukrainian-founded physical AI startup Embedd — TFN
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Seedcamp leads $2.7M round for Ukrainian-founded physical AI startup Emb
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Funding News
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Seedcamp leads $2.7M round for Ukrainian-founded physical AI startup Embedd
Abhinaya Prabhu
August 24, 2026
3 minute read
Image credits: Embedd
Embedd, a London-based startup founded by Ukrainian entrepreneurs, has raised $2.7 million in pre-seed funding led by Seedcamp.
Its AI platform cuts the software integration work behind robots, cars, drones and medical devices from months down to weeks.
The startup is already working with Microchip Technology, one of the world’s largest semiconductor makers.
, a London-based startup building software infrastructure for robots, cars, drones and medical devices, has raised $2.7 million in pre-seed funding led by
Seedcamp
.
Cocoa, Connect Ventures, 2100 Ventures, Vesna Capital, U.ventures, Underline Ventures, Common Magic, and Roosh Ventures also joined the round.
Every intelligent machine runs on dozens of chips that don’t share a common language, and engineers currently spend four to six months hand-writing the code that lets them talk to each other. Embedd’s platform cuts that down to around three weeks, an eightfold reduction, and says it can deliver production-ready software for a given chip up to six times faster than the manual process.
“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,” said
Michael Lazarenko
, co-founder and CEO of Embedd.
A software gap hiding behind the physical AI boom
The money is arriving at a busy moment for the category. Nearly
$19 billion has gone into robotics and physical AI startups
so far this year, with $16.3 billion of that landing in the first quarter alone. Most of it is chasing robots and foundation models. Embedd is chasing something less visible: the software layer that non