We are redefining randomness.
01 The Mission
Classical Pseudo-Random Number Generators (PRNGs) are failing modern cryptography and deep learning by introducing algorithmic bias. They rely on mathematical algorithms and predictable initial seed values to simulate randomness.
As computational power increases and algorithmic analysis becomes more sophisticated, the predictability of PRNGs poses a critical security and accuracy risk. True randomness cannot be calculated; it must be observed from the physical universe.
Quey bridges the physics of photonic shot noise and software engineering. We provide physical, cryptographically conditioned entropy as a scalable utility.
02 Our Approach
We abandoned algorithmic generation entirely. Instead, our approach relies on the fusion of highly sensitive hardware and low-level systems programming.
Our hardware node uses a NoIR optical sensor in a light-tight enclosure. With no incoming light, the sensor output is dominated by quantum-statistical processes — photonic shot noise and dark current — that no algorithm can reproduce.
To process this raw signal without introducing bias, we built a multi-stage extraction pipeline: least-significant-bit extraction, Von Neumann debiasing, and SHA3-256 cryptographic conditioning per NIST FIPS 202. The conditioned stream is served via a Cloud API with typical end-to-end latencies of 30–80 ms.
03 Why Quey?
"When the integrity of your randomness matters, knowing where it came from matters. Quey gives you entropy backed by a physical sensor you can audit, with statistical reports we publish openly."
In an era of increasingly sophisticated attacks and the looming threat of quantum computing, the foundation of your security—your entropy—must be unassailable. We provide the verifiable, physical proof that your randomness is truly random.