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UAE’s Buildroid AI  Raises USD 2M to Roll Out Construction Robots

UAE’s Buildroid AI  Raises USD 2M to Roll Out Construction Robots
Image Source: Buildroid AI
  • UAE’s Buildroid AI raises USD 2M pre-seed to scale AI-powered construction robots, starting with transforming labour-heavy partition wall workflows.
  • Founded in 2025, Buildroid AI connects BIM models to real-site execution using Digital Twin simulations and proprietary AI orchestration software.
  • Funding will expand pilots, advance autonomous robotic crews, and prepare Q2 deployment of block-laying robots and mobile robots with contractor partners.

Buildroid AI 

UAE-based AI robotics startup, Buildroid AI, raised USD 2 million in a pre-seed funding round. The round was led by Tim Draper known for backing Tesla, SpaceX, Skype, and Robinhood. The startup also announced the launch of its first block-laying robot, built using BIM-to-BUILD simulation.

Founded in 2025 by Slava Solonitsyn, Buildroid AI is an AI robotics startup. It focuses on integrating  specialised and general-purpose robots directly into contractor workflows. Its AI platform connects Building Information Models (BIM) with real-world execution via Digital Twin simulations and proprietary AI orchestration software. Furthermore, it aims to transform the labour-intensive partition walls segment. Thereafter, it aims to open its platform for other use-cases for the UAE’s USD 42.75 billion construction market 

“Construction robots have been around for over a decade, but have had limited success, primarily because they automate narrow skills and require significant additional labour to support them. With the rapid development of AI, it has become possible to bring general-purpose and industrial robots to construction as well,” said Slava Solonitsyn, Buildroid’s CEO and co-founder. 

Construction Robots

Looking forward, with the funding, it plans to expand pilot programs, refine simulation and autonomous capabilities of robotic crews. It also aims to accelerate commercial deployments.  Additionally, starting with non-load-bearing walls, it aims to scale its impact and expand into interior fit-out and broader construction workflows.

Beginning in Q2 of next year, it plams to deploy the first available AI-powered robotics through partnerships with general contractors. Furthermore, it aims to receive a portion of the net savings generated by deployments.  

So far, its first simulated block-laying robot is being piloted on live job sites in the UAE. Soon after which, it aims to support it by Autonomous Mobile Robots. These robots deliver concrete blocks directly from pallets of materials to BLR, eliminating the need for manual support.

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