All3, a company developing a robotic platform for construction, has raised $25 million in a seed funding round led by RTP Global, with significant participation from SuperSeed and additional backing from Begin Capital, s16vc and VNV Global.
The company is developing an integrated construction model that combines autonomous robotics, AI-powered design software, and robotic manufacturing. Its system includes a legged robot for on-site assembly, alongside tools that enable the production of custom components, with the aim of improving efficiency, reducing costs, and lowering the environmental impact of construction projects.
Construction remains one of the world’s largest industries, with limited productivity gains over recent decades and continued reliance on manual labour. Existing prefabrication approaches have struggled to scale in complex urban environments, while All3’s approach is designed to enable automation without imposing design constraints.
Rodion Shishkov, CEO and co-founder of All3, said the company was founded to develop robotics and AI solutions to address fundamental challenges in construction, adding that the seed round confirms its ability to tackle problems long considered unsolvable.
Construction is the largest global sector yet to experience a productivity revolution, representing a trillion-dollar opportunity. With this funding, we'll scale deployment of our technology with one clear mission: to solve the housing crisis once and for all.
The company has already seen early demand for its platform, having processed more than 100,000 square metres of residential projects through its design software, contributing to a growing pipeline of projects in Germany.
The funding will be used to advance research and development in London and Belgrade and to deploy an initial fleet of robots on commercial construction projects in Germany, the company’s first launch market. All3 operates across Europe, with offices in Berlin and Zug, and focuses on applying robotics and AI to modernise construction processes at scale.
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