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5 Startup Deals: Robot Training, Space Lasers And Greener Cement

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This is a monthly column that runs down five interesting startup funding deals that may have flown under the radar. Check out our previous entry here. From teaching robots to do everyday household chores to using lasers to track satellites in space, this month's crop of interesting startup deals spans some decidedly different corners of tech. Other startups that caught our eye are working on making cement production less polluting, turning agricultural waste into a useful tool for carbon removal, and helping independent video game developers get their product in front of more players. Let's take a closer look.

$30M to teach robots by watching humans

Before robots can fold laundry, load dishwashers or prepare meals, they need to learn how humans actually do those things. Maxinsights is betting there's a big business in supplying the training material. The Santa Clara, California-based startup this week announced a $30 million seed round led by Peak XV Partners, with participation from Tola Capital, South Park Commons, Ince Capital and Alumni Ventures. The company, founded by veterans of the robotics and autonomous vehicle industries, is building what it calls the data layer for physical AI. Its approach is surprisingly low-tech in some respects: Pay people to wear cameras while they go about everyday tasks, from washing dishes to preparing food or cleaning hotel rooms. But turning all that footage into something useful for robotics models is more complicated. Maxinsights develops its own recording hardware and AI-powered software to collect, label and organize the data so robots can learn from it. The startup says it has already captured more than 2 million hours of human activity, with 1.5 million hours ready for use in AI training. Its customers include robotics model developers Genesis AI and Dyna Robotics. It is also developing a sensor-equipped glove called Max Glove that can capture information cameras can't see, such as grip strength and the force needed to manipulate objects. The funding comes amid a massive boom in physical AI investment. Startups in the sector raised $47.4 billion globally in the first half of 2026, nearly 4x the amount invested in the second half of 2025, Crunchbase data shows.

£8.2M to track satellites with lasers

Space is getting crowded, and keeping track of everything flying around up there is becoming an increasingly complicated problem. With that in mind, London-based Foundational emerged from stealth this month with £8.2 million (around $11 million) in pre-seed funding led by Inflection, with participation from investors including Type One Ventures, Final Frontier, Backed VC and Adjacent. The company uses a technique called satellite laser ranging, which involves firing laser pulses from ground stations toward reflectors mounted on satellites. The company says that by measuring how long the light takes to return, its system can calculate satellite positions with millimeter-level accuracy. While the technology has existed for decades, Foundational is working to make it cheaper and more scalable. Its system combines automated ground stations, satellite-mounted hardware and a software platform called Origin that provides positioning data to satellite operators. The company says its stations cost roughly 30x less than legacy systems. The technology could prove increasingly valuable as thousands more satellites enter orbit, raising the risk of collisions with other spacecraft and debris. The European Space Agency estimates that around 1.5 million pieces of space debris measuring between 1 and 10 centimeters are orbiting Earth - large enough to cause serious damage to functioning satellites.

Source: Crunchbase News · Summarized by HeadlinesBriefing