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.