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KETS Quantum Security makes chip-based quantum encryption hardware that keeps computer networks safe from future quantum computers.
KETS Quantum Security is a British hardware company that builds tiny chips for encrypting data in a way that even a quantum computer cannot crack. Its customers are the people who run networks that absolutely cannot be compromised: telecom operators, defense agencies, banks, and operators of critical infrastructure like power grids.
Here is the problem KETS is attacking. Today's encryption relies on math problems that ordinary computers find impossibly slow to solve. A powerful quantum computer could solve some of those problems quickly, which means a lot of the private data sent today could one day be unlocked. KETS builds two kinds of hardware to defend against that. One generates truly random numbers for encryption keys — randomness that no attacker can predict. The other uses the physics of light itself to distribute keys between two points, so that any attempt to eavesdrop is physically detectable. The clever part is that KETS puts this on a chip rather than in a room-sized lab experiment. Quantum key distribution has traditionally been bulky and expensive, which kept it out of everyday networks. Chip-scale hardware is smaller and cheaper, which makes it realistic to slot into ordinary telecom equipment and data centers. That is the bet: as quantum computing gets closer to being a real threat, the demand for quantum-safe gear should grow, and whoever makes it small and affordable wins.
KETS is a private, venture-backed startup, so its finances are not public, and it is still a young company selling into long, cautious procurement cycles. It competes with other quantum-safe hardware makers and, more broadly, with software-based "post-quantum" encryption that governments and standards bodies are now endorsing. That software approach could undercut the hardware market for many ordinary uses. KETS's case rests on the highest-security customers, where physics-based key distribution offers something software cannot: proof, not just a very hard math problem.
Saved answer · last researched 15 Nov 2026