Crunchbase Data Shows Q3 Robotics Startup Funding Jumps 185% As US

The funding figures and named rounds are the only facts available, so I am drafting the article from those and checking paragraph lengths against the 80–160 word section rule.The draft ran long because the same rounds were repeated in every section. I am tightening each section to the funding facts only so the piece stays inside 800–1,000 words.Global venture funding to robotics startups totaled $9.9 billion in Q3 2026, more than double the $4.3 billion invested in Q3 2025, according to Crunchbase News's report by Gené Teare. The bulk of that investment went to companies based in China and the U.S. The quarter is the latest in a run of quarters with nearly $10 billion or more in funding. From Q1 through Q3 2026, funding to the robotics sector is up around 185% year over year. The analysis excludes defense-related companies.

This piece is for founders, robotics engineers, and investors. It covers China's $13.2 billion, the U.S. figure of $12.1 billion, Germany's $1.7 billion, and the rounds at Xpeng Robotics, AI² Robotics, Atoms, Skild AI, and Neura Robotics, plus Ulrik Stig Hansen at Crunchbase News's inaugural Long Horizon Physical AI Summit in San Francisco earlier this month.

What Crunchbase Data Shows Q3 Robotics Startup shipped

Global venture funding to robotics startups in Q3 was $9.9 billion, against $4.3 billion in Q3 2025, more than double the year-earlier quarter. That Q3 figure is the latest in a run of quarters with nearly $10 billion or more in funding. Funding to the robotics sector in Q1 through Q3 2026 is up around 185% year over year. China has received $13.2 billion of robotics funding this year, the U.S. $12.1 billion, and Germany, the third-largest recipient, $1.7 billion.

Guangzhou-based Xpeng Robotics, a builder of AI models and physical robots, raised $900 million. Shenzhen's AI² Robotics, which is working to build intelligent robots for manufacturing, healthcare, and services, raised a $736 million Series C. Travis Kalanick's Los Angeles-based Atoms raised a billion-dollar round that includes its ghost kitchen business and divisions for robotics in mining and transport. Pittsburgh-based Skild AI raised $1.4 billion for its robotics foundation model Skild Brain. Germany-based Neura Robotics raised $1.4 billion for cognitive robots, with AI and data infrastructure to build intelligence.

What changed for builders in Crunchbase Data Shows Q3 Robotics Startup

Ulrik Stig Hansen, co-CEO of San Francisco-based Encord, a provider of the data layer for physical AI, told Crunchbase News at its inaugural Long Horizon Physical AI Summit in San Francisco earlier this month, "We're just seeing physical AI take off." "Physical AI is very different because there is no internet of physical AI data, and so the data first has to be collected, and you have to convert it from sensor tokens to action tokens," he said. Building for the physical world takes time, he noted.

Data sets are orders of magnitude larger for physical AI, requiring multimodal data combining vision, tactile, force, and torque. "Storing all that data, curating all that data, enriching all that data, and validating that all the data works for these systems is a very expensive operation," said Hansen. Compute and storage capabilities are being developed to support these systems, he noted. The field is still in the pre-training phase of physical AI, but will soon be entering the post-training phase.

How to install or upgrade Crunchbase Data Shows Q3 Robotics Startup

The data layer Hansen described starts with collection. There is no internet of physical AI data, so the data first has to be collected and converted from sensor tokens to action tokens. Encord, his San Francisco company, provides that layer: storing, curating, enriching, and validating multimodal data that combines vision, tactile, force, and torque. He described the operation as very expensive. Teams are still in pre-training, with post-training soon, and physical work takes longer than large language models trained on internet text.

Xpeng Robotics in Guangzhou raised $900 million for AI models and physical robots. AI² Robotics in Shenzhen raised a $736 million Series C for intelligent robots in manufacturing, healthcare, and services. Skild AI in Pittsburgh raised $1.4 billion for foundation model Skild Brain. Neura Robotics raised $1.4 billion for cognitive robots and AI and data infrastructure to build intelligence. Travis Kalanick's Los Angeles-based Atoms raised a billion-dollar round that includes a ghost kitchen business and robotics in mining and transport.

Gotchas and compatibility in Crunchbase Data Shows Q3 Robotics Startup

The $9.9 billion Q3 total, the $4.3 billion Q3 2025 comparison, the roughly 185% rise for Q1 through Q3 2026, China's $13.2 billion, the U.S. $12.1 billion, and Germany's $1.7 billion exclude defense-related companies. Atoms' billion-dollar round includes its ghost kitchen business and divisions for robotics in mining and transport. Skild AI's $1.4 billion funds the foundation model Skild Brain. Neura Robotics' $1.4 billion funds cognitive robots plus AI and data infrastructure. Xpeng Robotics raised $900 million, and AI² Robotics raised a $736 million Series C.

Hansen said there is no internet of physical AI data, so teams collect data and convert sensor tokens to action tokens. Sets are orders of magnitude larger and must combine vision, tactile, force, and torque. Storing, curating, enriching, and validating that data is a very expensive operation. The sector is still in the pre-training phase of physical AI and will soon enter the post-training phase, he noted. Q3 funding rose from $4.3 billion in 2025 to $9.9 billion in 2026.

What to watch after Crunchbase Data Shows Q3 Robotics Startup

Around 75 robotics companies on the unicorn board have raised funding in the past three years. Of these, more than half, 45, joined the board just this year. Among the most highly valued robotics startups, many competing companies are building data and models, as well as varied vertical use cases in heavy industry, manufacturing, logistics, and household use cases, among others. Robotics funding is surging and new unicorns are emerging, but the sector's direction remains uncertain as companies race toward further breakthroughs over the next year.

Hansen said, "There are a lot of companies that are raising capital, and I think a lot of them are going to win, just because there's so many different types of applications to the physical world." He noted that physical AI is still in pre-training and will soon enter post-training. Related Crunchbase queries are Global Physical AI Venture Funding In 2026 and Global Robotics Venture Funding In 2026. Recent quarters each carried nearly $10 billion or more in funding, including $9.9 billion in Q3.