
Big Tech acquisitions of robotics startups will likely continue.
NexCOBOT sees a selective funding environment for early-stage companies.
Industrial adoption of AI-native robots will advance in stages as reliability improves.
What happened
Jenny Shern, general manager of NexCOBOT, said acquisitions of robotics startups by Big Tech will continue. Recent examples include Mobileye buying Mentee Robotics for $900 million in January, Amazon acquiring Fauna Robotics in March, and Meta picking up Assured Robot Intelligence in May.
Why it matters
Smaller robotics firms bring expertise in areas like robot learning and perception, while large companies offer computing infrastructure and capital. Shern noted that a more selective funding environment may pressure early-stage startups to validate their business models sooner, potentially slowing new entrants but encouraging focused innovation.
What to watch
NexCOBOT says it is focusing on scaling its open, functional safety robotic controllers and fulfilling its backlog of global orders as it heads into mass production. The company also highlighted a client case where its certified functional safety controller shortened a development cycle from an estimated three to five years to just two years.
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The article captures a moment where physical AI—robots that incorporate AI into perception, decision-making, and interaction—is moving from research into commercial reality. Shern highlights that large tech companies are buying startups for faster innovation, citing Mobileye's $900 million acquisition of Mentee Robotics in January, Amazon's purchase of Fauna Robotics in March, and Meta's acquisition of Assured Robot Intelligence in May. This trend, she argues, stems from startups' deep expertise in robot learning and perception pairing with Big Tech's infrastructure and capital.
Shern describes a funding landscape that is becoming more selective. While capital remains available for companies with clear technical differentiation and a path to commercialization, early-stage startups may need to validate their business models sooner. This could slow the number of new entrants but potentially encourage more focused innovation.
For industrial adoption, reliability and safety remain critical. NexCOBOT's example of a client shortening its development cycle from an estimated three to five years to two years using an open functional safety controller illustrates how modular platforms can help bridge the speed gap between software and hardware. Shern expects adoption to advance in stages as AI-native robots prove themselves in real-world environments.
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