Embedd, a London-based startup developing infrastructure for physical artificial intelligence, has secured $2.7 million in pre-seed funding led by Seedcamp. The round also saw participation from Cocoa, Connect Ventures, and other investors.
TL;DR
- Embedd raises $2.7M to accelerate physical AI development.
- The startup automates software-hardware integration for intelligent machines.
- Funding will support platform development and semiconductor collaborations.
What happened
Embedd, founded by Ukrainian entrepreneurs Michael Lazarenko, Maxim Gorinov, and Valentin Gololobov, announced a $2.7 million pre-seed funding round led by Seedcamp. Other investors include Cocoa, Connect Ventures, 2100 Ventures, Vesna Capital, U.ventures, Underline Ventures, Common Magic, and Roosh Ventures.
The startup focuses on automating the integration of software with diverse hardware components, a critical bottleneck in developing intelligent machines. Embedd creates digital twins of hardware to facilitate this process, claims to enable customers to deliver production-ready software up to six times faster.
Since its commercial launch in April 2026, Embedd has partnered with several semiconductor companies, including Microchip Technology. The company is working with Microchip to enable support for Zephyr, a real-time operating system.
Why it matters
Embedd's solution addresses a significant challenge in the physical AI sector, where software must reliably communicate with various chips. This bottleneck slows down innovation in industries like robotics, manufacturing, healthcare, and automotive.
The $2.7 million funding will allow Embedd to further develop its platform and expand collaborations with semiconductor companies. This is crucial as nearly $19 billion has been invested in robotics and physical AI this year, highlighting the growing demand for such solutions.
For developers and startups, Embedd's technology can significantly reduce the time and complexity involved in integrating software with hardware, accelerating the development of intelligent machines. Investors see potential in Embedd's infrastructure, which could underpin the next generation of AI-powered physical systems.
Key facts
- Embedd raised $2.7 million in pre-seed funding led by Seedcamp.
- The startup was founded by Michael Lazarenko, Maxim Gorinov, and Valentin Gololobov.
- Embedd automates software-hardware integration for physical AI systems.
- The company claims to enable customers to deliver production-ready software up to six times faster.
- Embedd has partnered with Microchip Technology to enable support for Zephyr.
- The funding round included participation from Cocoa, Connect Ventures, 2100 Ventures, Vesna Capital, U.ventures, Underline Ventures, Common Magic, and Roosh Ventures.
- Embedd will use the funding to develop its platform and expand semiconductor collaborations.
- Nearly $19 billion has been invested in robotics and physical AI this year.
Context
The physical AI sector is rapidly growing, with significant investments pouring into robotics and intelligent machines. However, the fragmentation of hardware components presents a major challenge, slowing down innovation.
Embedd's solution aims to bridge this gap by automating the integration process, making it easier for developers to create software that can communicate with diverse hardware components.
The startup's technology is particularly relevant in industries like robotics, manufacturing, healthcare, and automotive, where intelligent machines are becoming increasingly prevalent.
