VLC Creator Raises $5M for Kyber, an Ultra-Low Latency Network for Robots
Jean-Baptiste Kempf, the developer behind VLC Media Player, has launched Kyber, an open-source infrastructure layer designed to control robots, drones, and physical AI with near-zero latency.
By Factlen Editorial Team
- Robotics & Physical AI Developers
- Emphasizes the critical need for ultra-low latency infrastructure to scale autonomous fleets and enable safe remote teleoperation.
- Open-Source Advocates
- Values the open-core approach and the leveraging of foundational open-source tools to democratize machine control without vendor lock-in.
- Venture Capital & Enterprise
- Focuses on the commercial potential of standardizing a fragmented market, viewing infrastructure as the next major bottleneck for AI deployment.
What's not represented
- · Current proprietary robotics network providers
- · Telecommunications companies managing 5G infrastructure
Why this matters
As artificial intelligence moves from digital screens into physical robots and drones, the internet's current infrastructure is too slow to control them safely. Standardizing an ultra-low latency network layer could accelerate the deployment of autonomous systems in manufacturing, delivery, and telemedicine.
Key points
- VLC Media Player creator Jean-Baptiste Kempf has raised $5M for his new startup, Kyber.
- Kyber is an open-source SDK designed to control robots, drones, and physical AI with ultra-low latency.
- The platform synchronizes video, audio, sensor data, and control inputs over a single link.
- Kyber has demonstrated 8 milliseconds of glass-to-glass latency, far faster than traditional streaming protocols.
- The technology is built on top of the QUIC protocol, FFmpeg, and VLC.
- Kyber operates on an open-core model, offering free access for open-source projects and commercial licenses for enterprises.
Artificial intelligence is rapidly graduating from generating text on digital screens to navigating the physical world. Yet, as autonomous drones, industrial robots, and self-driving vehicles become more capable, a critical technological bottleneck has emerged: the infrastructure required to control them. Between an AI model capable of making a decision and a physical machine capable of executing it, there is a massive need for real-time, bidirectional communication. Today's internet infrastructure, designed primarily for asynchronous communication and buffered content delivery, was never optimized to handle the millisecond-level demands of physical machines.[3]
Enter Jean-Baptiste Kempf, a French serial entrepreneur and open-source legend best known as the lead developer of VLC Media Player. Having built the ubiquitous orange traffic-cone software that has been downloaded over six billion times, Kempf is now turning his attention from digital media to physical robotics. His new startup, Kyber, aims to provide the missing infrastructure layer for controlling remote devices in real time, ensuring that distant machines can be operated as if they were sitting right in front of the user.[1][2][7]
The technology industry is taking notice of this pivot. Kyber recently emerged from stealth with a $5 million seed funding round led by Lightspeed Venture Partners, a prominent venture capital firm that has previously backed AI heavyweights like Anthropic and Mistral AI. The round, which also saw participation from OVNI Capital and Kima Ventures, underscores a growing consensus among investors: physical AI is only as good as the underlying network systems running it.[2][3][4][7]
The core problem Kyber aims to solve is the fragmented and latency-prone nature of remote machine control. As the number of robots and drones operating in public and industrial spaces scales up, managing them becomes exponentially complex. These machines require constant, reliable connections to transmit high-definition video, audio, and sensor data back to a central operator or an AI control system. In environments like remote surgery, industrial manufacturing, or autonomous driving, even a tiny delay in data transmission can result in catastrophic real-world consequences.[3][5]

Currently, many companies in the robotics and drone space rely on custom-built, proprietary systems to manage this communication. However, these bespoke solutions often struggle to scale when fleet sizes grow from a few dozen experimental units to thousands of deployed machines. Kempf noted that the largest remote driving fleets today manage perhaps 2,000 to 3,000 vehicles, but scaling to millions of concurrent devices requires a fundamentally different kind of platform—one that standardizes the communication layer across the entire industry.[2][5]
To address this, Kyber has developed a Software Development Kit (SDK) that synchronizes video, audio, sensor data (such as GPS and IoT metrics), and control inputs (like mouse, keyboard, or gamepad commands) over a single unified link. The goal is to provide developers with a cohesive software layer capable of simultaneously managing all these streams while ensuring temporal consistency. By synchronizing these inputs with minimal delay, Kyber allows human operators or AI agents to control machines located thousands of miles away with near-zero perceived lag.[3][5][7]
The mechanism behind Kyber’s speed relies heavily on Kempf’s two decades of experience in video streaming. The platform is built on top of FFmpeg and VLC, the foundational open-source projects that quietly power much of the world's multimedia infrastructure. However, Kyber fundamentally rewires how these tools operate over a network. Instead of relying on traditional web protocols, Kyber utilizes QUIC, a modern transport-layer network protocol designed to reduce latency and accelerate connection speeds.[2][3][4]
The mechanism behind Kyber’s speed relies heavily on Kempf’s two decades of experience in video streaming.
The ultimate metric for this technology is "glass-to-glass" latency—the total time it takes for a video frame to be captured by a camera lens, encoded, transmitted across a network, decoded, and displayed on an operator's screen. During a demonstration at the Mile High Video conference, Kempf showcased Kyber achieving an astonishing 8 milliseconds of glass-to-glass latency. To put that into perspective, the blink of a human eye takes about 100 to 400 milliseconds.[2][4]

Achieving this level of speed requires a radical departure from conventional streaming philosophies. Traditional protocols like WebRTC or HTTP Live Streaming (HLS) prioritize maintaining consistent audio-video synchronization and high image quality, often buffering data to smooth out network hiccups. Kyber, conversely, prioritizes absolute speed above all else. As Kempf explained, the system is not concerned with maintaining perfect sync in the traditional sense; it is designed to push latency as low as physically possible, dropping frames if necessary to ensure the control inputs remain instantaneous.[4]
The origins of Kyber trace back to Kempf’s tenure as the Chief Technology Officer at Shadow, a French cloud gaming company. Cloud gaming requires incredibly low latency to ensure that a player's button press translates instantly to an on-screen action, making it a perfect testing ground for remote control technologies. Kempf began building Kyber as a side project to solve these exact bottlenecks before eventually spinning it out into a dedicated infrastructure company.[2][7]
The startup’s name itself is a nod to the absolute limits of speed and energy. It is inspired by the Kyber crystals from the Star Wars universe, which power lightsabers and channel immense energy. The branding reflects the company's core ethos: when controlling objects in the real world, every single millisecond matters, and the technology must operate as close to the speed of light as network physics will allow.[6][7]

In a move that mirrors the success of VLC, Kyber is adopting an "open-core" business model. The foundational technology is open-source and available under the AGPL license for non-commercial and open-source projects. This strategy is designed to accelerate widespread adoption among developers, researchers, and hobbyists. For large corporations and enterprise deployments that require proprietary integration, Kyber generates revenue through commercial licenses and specialized engineering services.[3][4][6]
By making the core technology open and accessible, Kempf hopes to establish Kyber as the de facto standard for machine communication, much like VLC and FFmpeg became the standards for video playback. If successful, communication protocols and real-time control layers could become as strategically important to the emerging machine economy as cloud computing platforms like AWS and Azure became to the software economy over the last decade.[3]
While robotics and drones are the primary focus, Kyber’s potential applications extend far beyond physical machines. The technology is designed for any use case where the operator, the compute power, and the action are in three different locations. This includes cloud rendering for virtual and augmented reality, remote IT access—where Kyber aims to challenge established enterprise providers like Citrix—and telemedicine, where surgeons could operate robotic arms remotely with absolute precision.[2][4][5][7]

Ultimately, Kyber is positioning itself as the nervous system for the next generation of artificial intelligence. As AI models move out of data centers and into the physical world, they will need to continuously ingest high-fidelity sensor data and output rapid mechanical commands. By solving the latency bottleneck, Kyber is building the invisible infrastructure that will allow hundreds of millions of autonomous agents to interact with our world safely, reliably, and in true real time.[3][7]
How we got here
2001
The VideoLAN project releases VLC Media Player, which eventually surpasses 6 billion downloads.
Early 2024
Jean-Baptiste Kempf begins developing Kyber as a side project while serving as CTO at cloud gaming startup Shadow.
February 2025
Kempf publicly demonstrates Kyber at the Mile High Video conference, achieving 8 milliseconds of glass-to-glass latency.
June 2026
Kyber emerges from stealth, announcing a $5 million seed round led by Lightspeed Venture Partners.
Viewpoints in depth
Robotics & Physical AI Developers
Emphasizes the critical need for ultra-low latency infrastructure to scale autonomous fleets.
For engineers building physical AI, the primary bottleneck is no longer the intelligence of the model, but the speed of the network. When a drone is flying at high speeds or a robotic arm is performing delicate tasks, a 50-millisecond delay can cause catastrophic failures. This camp views Kyber's 8-millisecond latency as a fundamental breakthrough that will allow fleets to scale from a few thousand experimental units to millions of deployed, centrally managed machines.
Open-Source Advocates
Values the open-core approach and the democratization of machine control.
The open-source community sees Kyber as a necessary counterweight to the proprietary, siloed systems currently dominating the robotics industry. By building on foundational open-source tools like FFmpeg and VLC, and releasing the core SDK under an AGPL license, this camp believes Kyber can standardize machine communication in the same way VLC standardized video playback, preventing vendor lock-in for future AI infrastructure.
Venture Capital & Enterprise
Focuses on the commercial potential of standardizing a fragmented market.
Investors and enterprise leaders view real-time infrastructure as the next major strategic layer in the AI boom, following the massive investments in foundational models and data centers. This camp argues that whoever controls the communication layer for physical AI will capture immense value. They see Kyber's expansion into remote IT access, cloud gaming, and telemedicine as proof of a massive total addressable market beyond just robotics.
What we don't know
- How quickly enterprise robotics companies will abandon their proprietary systems in favor of Kyber's open-core standard.
- Whether the 8-millisecond latency benchmark can be consistently maintained across congested public 5G networks at scale.
Key terms
- Glass-to-glass latency
- The total time it takes for a video frame to be captured by a camera lens, encoded, transmitted, decoded, and displayed on a screen.
- Physical AI
- Artificial intelligence systems that interact with the real world, such as autonomous robots, drones, and self-driving vehicles.
- QUIC
- A modern transport-layer network protocol designed to reduce latency and improve connection speed compared to traditional internet protocols.
- SDK (Software Development Kit)
- A collection of software tools and libraries that developers use to build applications for a specific platform.
- Open-core
- A business model where the core features of a software product are open-source and free, while advanced or enterprise features are commercialized.
Frequently asked
Why is current internet infrastructure not good enough for robots?
The internet was designed for content delivery, where slight delays are acceptable. Controlling physical machines requires bidirectional synchronization of video, audio, and sensor data in milliseconds, which standard protocols struggle to maintain.
How does Kyber achieve such low latency?
It uses a custom network stack built on the QUIC protocol and heavily optimized video encoding via FFmpeg, prioritizing raw speed over perfect audio-video synchronization.
Is Kyber completely free to use?
Kyber operates on an open-core model. It is free under the AGPL license for open-source and non-commercial projects, but requires a commercial license for enterprise deployments.
What are the main applications for this technology?
Beyond robotics and drones, Kyber is designed for cloud gaming, telemedicine, remote IT access, and training AI agents that need to interact with the physical world.
Sources
[1]TechCrunchRobotics & Physical AI Developers
He made your free video player run smoothly. Now he’s doing that for robots.
Read on TechCrunch →[2]The Next WebOpen-Source Advocates
VLC developer Jean-Baptiste Kempf raised $5M led by Lightspeed for Kyber
Read on The Next Web →[3]Startup in EuropeRobotics & Physical AI Developers
Kyber raises $5M Seed to build real-time infrastructure for physical AI
Read on Startup in Europe →[4]Streaming Learning CenterOpen-Source Advocates
Interview with Jean-Baptiste Kempf at Mile High Video 2025
Read on Streaming Learning Center →[5]WhalesBookRobotics & Physical AI Developers
Kyber Secures $5 Million to Manage Real-Time Control of Robots
Read on WhalesBook →[6]ZaminOpen-Source Advocates
Jean-Baptiste Kempf launches Kyber for robotics and remote control
Read on Zamin →[7]RocketNewsVenture Capital & Enterprise
VLC creator builds Kyber for controlling remote devices in real time
Read on RocketNews →
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