Verifiable randomness from a physical source.

Quey extracts true randomness from photonic shot noise — a measurable physical process, not an algorithm. The entropy is hardware-sourced from a dedicated optical node, independently validated to NIST standards, and served via a REST API.

The randomness can be used two ways:

• As raw entropy — for Monte Carlo simulations, cryptographic seeding, procedural generation, generative art, A/B testing, or anywhere you need true physical randomness with auditable provenance.
• As signed draws — Ed25519-signed selections with public certificates, for giveaways, sortition, lotteries, or any selection where fairness must be provable to outside observers.

queyquantum.io · Documentation · See a verified draw →

• quey-random-python — Official Python SDK. pip install quey-random. Eight methods covering raw bytes, random floats, NumPy arrays, sequence selection, and HKDF key derivation.
• quey-verify-demo — Verify a Quey draw certificate locally in under 30 lines of Python or Node.js. Zero npm dependencies on the Node side.

• NIST SP 800-90B — min-entropy 0.6236 bits/bit
• NIST SP 800-22 (Rev 1a) — 188 / 188 sub-tests passed (1 GB sample)
• Shannon entropy — 7.999994 bits/byte

For fairness-critical use cases, Quey produces Ed25519-signed certificates. Each certificate binds the draw's inputs, timestamp, and winning indices to a public key. Anyone can verify the signature offline using only public-key cryptography.

Public key (constant): 4fad999c2b586aab53155afc97f564a231350087b4c66d6a8f868963f42caf15

Based in Israel · contact@queyquantum.io