Buildroid AI Launches With $2M to Simulate Construction Robotics Using Digital Twins

Buildroid AI Launches With $2M to Simulate Construction Robotics Using Digital Twins
Source: Buildroid AI
  • The company exits stealth with funding led by Tim Draper and support from U.S. general contractors.
  • Its platform uses digital twins to simulate multi-robot workflows before deployment on construction sites.

Robotics startup Buildroid AI has launched out of stealth with $2 million in pre-seed funding led by Tim Draper. The company uses simulation to test construction robotic workflows before they reach the job site. The launch follows pilot deployments in the United Arab Emirates and includes support from U.S. general contractors planning to adopt the platform.

“America’s construction industry faces many of the same pressures seen worldwide—labor shortages, rising costs, and increasing demand for speed and precision,” said Solonitsyn, co-founder and CEO of Buildroid AI, in a press release. “By running thousands of NVIDIA Omniverse–powered digital twin simulations before ever sending a robot to a job site, we can identify the workflows that deliver the highest impact and ensure viable economics from day one. Our early pilots show how simulation first planning turns robotics from a high-risk trial into a predictable, scalable advantage for U.S. builders.”

Buildroid’s platform is designed to address low robot utilization and the limitations of task-specific automation. It uses NVIDIA Omniverse digital twins and BIM data to simulate full robotic workflows before deployment. The system works with more than 40 robot types and organizes them into coordinated trade sequences. The company offers the service through a shared-savings Robotics-as-a-Service model, with performance goals tied to throughput and quality.

Source: Buildroid AI

Buildroid will begin commercial deployments with U.S. general contractors in Q1 2026. The initial focus is on blockwork and partition-wall installation. The company also plans to add more workflows and allow third-party robot makers to test and refine their machines using the simulation platform.


🌀 Tom’s Take:

Using NVIDIA Omniverse digital twins to test robotic workflows in advance makes construction automation more predictable and easier to scale.


Source: GlobeNewswire / Buildroid AI