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    Home»Technology»Software & Apps»He made your free video player run smoothly. Now he’s doing that for robots.
    Software & Apps

    He made your free video player run smoothly. Now he’s doing that for robots.

    AdminBy AdminJune 20, 2026No Comments4 Mins Read0 Views
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    You’ve probably used VLC Media Player, the free video player with the orange traffic-cone icon — it’s been downloaded more than 6 billion times. But according to its lead developer, Jean-Baptiste Kempf, robots will soon be almost as ubiquitous as his open source video software.

    Convinced that “hundreds of millions of robots and drones” will be roaming the streets in a few years, this French serial entrepreneur and open-source legend has been building Kyber, an infrastructure layer for controlling remote devices in real time. Its core software is an SDK that synchronizes video, audio, sensor data, and control inputs with minimal latency.

    This lines up well with the rise of physical AI, and it’s part of why the Paris-based startup was able to raise a $5 million round led by Lightspeed, which has also backed Anthropic and Mistral AI. “Physical AI is only as good as the underlying systems running it,” the American VC firm wrote in a LinkedIn post announcing its investment.

    Kyber’s potential applications go well beyond AI, though. Kempf told TechCrunch the platform is built for “all the use cases where the person who’s operating is not in the same place as the compute, which is not in the same place as the action.”

    Remote control is one half of the equation; speed is the other — and it’s what inspired the startup’s name, a nod to the lightsaber crystals in Star Wars. “If you control things in the real world, every millisecond matters,” Kempf said.

    Kyber’s approach to eliminating lag is rooted firmly in video-streaming technology. The company started as a side project Kempf built while CTO at cloud gaming startup Shadow, and its early focus on streaming makes the VLC connection an easy one to draw. But IoT expertise matters just as much for optimization — tuning performance to a device’s available compute, at scale — the other core piece of what Kyber does.

    Kempf says other companies with the resources and the need have already built similar software for their own use cases, like remote driving. “But the largest fleets today have maybe 2,000 or 3,000 vehicles. Imagine you need to manage millions of them; that’s not the same thing.”

    That jump in scale also raises the stakes on observability — knowing systems are actually working will matter even more when AI agents, not people, are managing entire fleets and networks. Even at much smaller scale, though, there’s a real benefit: not needing to physically reach every device just to push a software update, for example.

    That range — from a handful of devices to millions — means Kyber’s user base will likely span far more companies than will ever become paying customers. True to Kempf’s roots, the core project is open source, while the company sells a productized version to enterprise customers. And it’s not just software: like Palantir and others, Kyber also offers hands-on, custom deployment through forward-deployed engineers, or FDEs.

    FDEs make up a large part of Kyber’s team, which currently numbers 25 full-time staffers. The startup is headquartered in Paris but has offices in San Francisco and Singapore to support what it expects will be a global client base across a variety of industries. The company says it is already in commercial deployment with customers in defense, telco, robotics, and AI.

    To focus its efforts, Kyber has been prioritizing three segments: robotics, drones of every kind, and remote IT access, where demand has been particularly strong. In that last segment, Kempf says Kyber aspires to be more than just a Citrix challenger — but even that comparison alone points to a sizable total addressable market.

    Remote IT access isn’t exactly glamorous, but Kempf seems energized by the problem — and Kyber’s careers page hints at why: “The companies that tried to solve it spent years and tens of millions building custom solutions they’ll never share. We’re building the version everyone else can use.”

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