Robotics startups raised $9.9 billion worldwide in the third quarter of 2026, more than double the $4.3 billion invested in the same quarter last year, according to Crunchbase News data published on October 27. That number landed in the same week Bloomberg reported that San Francisco's Physical Intelligence is in talks to raise at least $1 billion, and a day before Kodiak signed its first binding deal for driverless trucks on public highways. If you build, hire for or invest in physical AI around the Bay, this was a week to pay attention to.
What the Crunchbase numbers show
Crunchbase's Gené Teare found robotics funding in the first 3 quarters of 2026 is up around 185% year over year, with China-based startups raising $13.2 billion so far this year and US startups raising $12.1 billion. Germany sits a distant third at $1.7 billion. The largest rounds named in the analysis include Skild AI's $1.4 billion for its Skild Brain model, Neura Robotics' $1.4 billion, Xpeng Robotics' $900 million and AI² Robotics' $736 million Series C.
Crunchbase also counts about 75 robotics unicorns raising money over the past 3 years, and 45 of them reached unicorn status this year. The analysis leaves out defense-related companies, so keep that in mind when you compare it with other tallies you see on social media or in pitch decks.
Physical Intelligence and the price of a robot brain
The biggest Bay Area name in the conversation this week is Physical Intelligence, the San Francisco startup building AI models that control robots. Bloomberg reported on October 27, citing people familiar with the matter, the company is in talks to raise at least $1 billion at a valuation of about $20 billion, with Avenir and Lux Capital in talks to lead. The Next Web, which summarized the Bloomberg report, notes the company raised at $11.5 billion earlier this year and does not yet have revenue. Nothing is final until the company confirms a close, so read the figure as a reported negotiation.
For founders, the bigger signal is where investors think the value sits. Skild AI and Physical Intelligence both sell the "brain" layer, the foundation models that let one robot learn many tasks, and that layer is attracting the largest checks. If you're building around those models, in grippers, sensors, data collection, simulation or deployment tooling, the money flowing into the model layer tends to pull hiring and partnerships along with it. San Francisco saw a version of this earlier in the week with Bedrock Robotics' $600M round for self-driving excavators, which shows how far applied robotics has moved into heavy industry.
Kodiak and the South Bay's deployment story
The deployment side of physical AI got its own milestone on October 28. TechCrunch reported that Kodiak, which issues its press releases from Mountain View, signed its first binding commercial deal for driverless big rigs on public highways. California carrier DTL Transport will take 75 driverless trucks starting in 2028, beginning with Dallas to El Paso and the I-20 corridor between Dallas and Atlanta, and will pay Kodiak a per-mile fee under a driver-as-a-service model. The deal value wasn't disclosed, though TechCrunch estimates it at roughly $11.2 million in annual recurring revenue once all 75 trucks are running.
Kodiak is a reminder that a lot of the Bay Area's robotics work happens south of the city, along the Mountain View, Sunnyvale and San Jose corridor where hardware labs and autonomy teams have clustered for years. Circuit Launch at 599 Fairchild Drive in Mountain View, which offers shared electronics and prototype labs for robotics and hardware companies, was the venue for our Physical AI & Robotics Mixer on October 9. If you work on robots down there, South Bay Renaissance, the effort Tribe organizes to rebuild the startup and social scene of the South Bay and Peninsula in person, runs hardware, robotics and physical AI nights alongside founder dinners and demo nights.
What this means if you're building, hiring or job hunting
For founders raising in robotics, the Q3 data says investors are writing large checks, but those checks concentrate in a small set of model companies and later-stage deployment plays. Seed and Series A teams still need a specific customer, a specific task and a believable path to units in the field, and the Kodiak contract is a useful example of the kind of binding, per-mile agreement that turns a pilot into recurring revenue.
For engineers and operators, the hiring picture follows the money. Model companies need researchers and data teams, while deployment companies need field engineers, safety operators, hardware reliability specialists and sales teams who can sell to trucking, construction and logistics buyers. If you're coming from software, our guide to finding AI hackathons and communities is a good on-ramp, and our Microduck robot explainer shows how consumer robotics is pulling more software people into hardware.
For investors, the US and China comparison in the Crunchbase data will keep showing up in decks and on panels. Read it carefully, since the 185% figure covers the first 3 quarters combined, while Q3 on its own grew from $4.3 billion to $9.9 billion.
Where Bay Area robotics people are meeting
Funding headlines spread online within minutes, and the more useful conversations about who's hiring, which suppliers deliver on time and which pilots are real tend to happen in person. Our roundup of robotics meetups in the Bay Area covers HomeBrew Robotics Club in Sunnyvale, Silicon Valley Robotics and the Humanoids Summit, and our piece on the Bay Area networking problem and what's replacing it explains why smaller in-person groups have taken over from a lot of conference networking.
If you want to keep trading notes on funding rounds, robot demos and who's building what between meetups, the Futurists in Robotics Tribe is where our robotics members talk shop every day. You can also follow the Tribe Events calendar on Luma to hear about our next physical AI mixer, founder dinner or demo night as soon as it's posted.
