Bedrock Robotics Raises $270 Million Series B to Scale Autonomous Construction

Feb 5, 2026
Bedrock Robotics has raised $270 million in Series B funding co-led by CapitalG and the Valor Atreides AI Fund. The funding will support the expansion of its autonomous construction systems and connected fleet technology across major infrastructure and industrial projects.

Bedrock Robotics has raised $270 million in Series B funding co-led by CapitalG and Valor Atreides AI Fund, with participation from multiple investors including Xora, 8VC, Eclipse, NVentures, and Tishman Speyer, announced in a press release. The round brings Bedrock’s total funding to over $350 million.

The San Francisco-based company, founded by former Waymo engineers, develops autonomous systems for construction equipment such as excavators, bulldozers, and loaders. The new capital will accelerate the deployment of its connected fleet technology and support scaling of its autonomous solutions across large construction sites.

Bedrock recently completed a large-scale supervised autonomy deployment for mass excavation on a 130-acre manufacturing site and plans its first fully operator-less excavator deployments with customers in 2026. The company also expanded its leadership team with new hires from Meta and Waymo to strengthen its AI safety and operations capabilities.

Contractors across multiple U.S. states are exploring Bedrock’s systems for projects in industrial, port, and data center construction, as the industry faces significant labor shortages and growing project backlogs.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like AI Funding Brief, Robotics Brief or Daily AI Brief.

Also, consider following us on social media:

AI Funding News AI & Robotics AI Brief AI Brief (X)
Free newsletter

Robotics Brief

Weekly coverage of AI-driven robotics advances in industrial automation, autonomous vehicles, and robotic systems.

Guide
Humanoid Robot Makers

Humanoid Robot Makers

Companies building humanoid robots, from startups to Tesla and Boston Dynamics

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.