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2026-09-10 · Source:deep-siliconangle.com/feed/?paged=8

The Seedcamp-led pre-seed round brings together six other backers behind the startup's bid to remove a critical bottleneck in the multibillion-dollar robotics industry.
Embedd Ltd., a startup building software automation for physical artificial intelligence chip infrastructure, has raised $2.7 million in a pre-seed funding round as it moves to address what it calls one of the most critical bottlenecks in the multibillion-dollar robotics industry. The raise places the young company at the intersection of chip tooling and the push to run AI in the physical world, where robots and embedded machines depend on specialized silicon.
The round was led by Seedcamp, with participation from Cocoa, Connect Ventures, 2100 Ventures, Vesna Capital, U.ventures and Underline Ventures. That gives Embedd a syndicate of seven named backers at the pre-seed stage — a broad lineup for so early a phase in a company's life, and one that spreads its earliest institutional support across a range of venture firms.
Embedd positions its technology as chip software automation within the physical AI stack — the infrastructure layer that connects artificial intelligence to hardware operating outside the data center. The company says its approach is designed to remove a critical bottleneck in robotics, a sector it characterizes as worth multiple billions of dollars. By automating software work tied to chips, the startup is betting it can ease a pain point that constrains robotics development.
Pre-seed rounds of this size are typically directed toward early product development, and Embedd's $2.7 million gives it capital to advance its automation platform while drawing on the combined networks of its investor group. For its backers, the investment reflects confidence that software automation can play a central role in the chip workflow behind physical AI and robotics. With the round closed, Embedd says it is ready to begin fixing the bottleneck it has identified.
Mots-clés: Embedd · Embedd Ltd. · Seedcamp · Chip Software Automation · Physical AI · Robotics
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