It Fails Silently
Weak randomness doesn't throw an error. The keys look normal and pass every check, right up until someone predicts them.
Randomness You Can SeeSecurity You Can Trust
Real Random generates true entropy from patented physical hardware for cryptography and other security applications — not algorithms, not silicon you take on faith. Unpredictable to any computer, classical or quantum, and the foundation your post-quantum migration depends on.
Proven. Patented. Trusted.
in Data Security*
6
U.S. Patents Granted
27
International Patent Rights
In production with
Glacier Security
Government comms & high-risk teams
*Gartner, Cool Vendors in Data Security, 2025. Gartner, Cool Vendors in Data Security, 2025. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and COOL VENDORS is a registered trademark of Gartner, Inc. and/or its affiliates and is used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. The GARTNER COOL VENDOR badge is a trademark and service mark of Gartner, Inc. and/or its affiliates, and is used herein with permission.
Why it matters
Every encryption key starts as a random number. What if it isn't random?
Passwords, payments, VPNs and certificates all rely on numbers nobody can predict. Most systems get them from software or a chip feature that nobody checks. When that source is weak, the encryption built on top of it fails without warning, and a patch can't fix keys that were already made.
Physical entropyDice in motion, captured by camera
Lock holdsWeak sourceUnchecked software or chip RNG
Key predictedSame lock. Same algorithm. The only difference is where the random numbers came from.
It's Already Happening
In 2025, a flaw in AMD's newest processors let their built-in random number generator return zeros while reporting success. It wasn't the first time weak randomness broke real encryption.
The Rules Are Catching Up
FIPS 140-3 asks you to prove your entropy source holds up to NIST review, and federal post-quantum deadlines begin in 2027. Regulated teams will be re-validating their encryption between 2027 and 2029.
Real Random makes entropy from physical dice you can watch, so you can prove your randomness instead of assuming it.
Learn more about entropyThe Solution
Physical Entropy
Verifiable Trust
Get real entropy without a multi-year hardware program. Real Random drops into your stack as a service: true physical entropy, delivered the way modern teams ship everything else.
Our hardware, your location
Access true randomness where you need it without passing over open networks.
Integrate in 4 lines of code
Drop our REST API into any application or pipeline.
Secure in hours, not months
From sign-up to live entropy the same day — no procurement cycle.
Subscription that scales
Start with the API or scale with on-prem hardware. Enterprise teams can prove it out in a 30-day POC.
How It Works
From Physics to Protection
Four steps take raw physical chaos and turn it into auditable entropy your systems can trust, end to end.
Try the Interactive Demo01
Physical Generation
Precision dice tumble through viscous fluid inside patented hardware, producing chaotic motion no computer can model or predict.
02
Real-Time Capture
High-resolution optical sensors read position, rotation, and collision data, converting physical chaos into raw entropy.
03
Quality Assurance
Continuous statistical validation confirms every output meets the highest randomness standards before delivery.
04
Secure Delivery
Entropy flows through an encrypted REST API or your on-prem hardware into your cryptographic stack, with a full audit trail.
Deployment
Adopt in Hours, Not Months
Consume true entropy the way your architecture needs it. Three delivery models, one patented source. Start with the API to prototype, deploy hardware when you scale.
Entropy-as-a-Service
True physical entropy through a REST API, accessible from our developer portal. Prototype against your actual stack before procurement enters the room, evaluation to approval in weeks, not quarters.
2U Server Rack Appliance
Rack-mounted generators deployed inside your secure facility. Same patented technology, zero external dependencies, and a FIPS 140-3 validation pathway.
Portable Hardware
A compact, ruggedized generator built to move. The same patented entropy source, hardened against vibration, temperature, and shock, with no network dependency.
Why We Win
Faster, Simpler, Provable
U.S.-built entropy source — easier to adopt, lower in cost, and the only one you can independently verify. Real Random makes it possible to meet the coming compliance requirements for entropy without a rip-and-replace operation.
Faster
Integrate in 4 lines of code. Live entropy in hours — no procurement, no rack-and-stack.
Simpler
On-prem or API, delivered as a subscription. We handle the hardware — you get the entropy.
Provable
The only transparent entropy source. We make “trust, but verify” possible.
Use Cases
Built Where the Stakes Are Highest
When predictable randomness isn't an option, these teams choose physical entropy.
Every transaction, tamper-proof
Financial Services
Systems moving billions a day can't run on entropy that's “good enough.” From HSM key generation to fraud detection, this is the cryptographic foundation regulators and auditors trust.
HSM entropyTransaction signingTokenizationLong-term compliance
Traction
Trusted Where Randomness Can't Fail
Security teams in defense, finance, and high-assurance software choose Real Random when predictable randomness isn't an option.
Customer Story
Glacier Security
Secure Comms · Government & High-Risk Teams
Glacier.chat secures voice, video and messaging for executives, government and high-risk teams — now rooted in Real Random's quantum-grade entropy.
Real Random helped us answer customer concerns over quantum-compute attacks in a way that's easy to understand and adopt.
Alex White· CTO, Glacier Security
Other Partners & Clients
University of TampaSafeLogicEngix Design
Common Questions
The Basics of Physical Entropy
What is Real Random, and how does it generate randomness?
Real Random is a physical true random number generator (TRNG) that produces entropy from dice tumbling in viscous fluid, captured by high-speed computer vision. Unlike algorithmic pseudo-random number generators (PRNGs) that rely on mathematical formulas and can produce predictable patterns, Real Random draws from physical chaos: fluid turbulence, mechanical collisions, and positional variance across multiple dimensions. The result is entropy that is directly observable and verifiable.
What makes physical entropy more trustworthy than software-based alternatives?
Software random number generators, even well-designed CSPRNGs, are only as strong as their initial seed. If the seed comes from a low-entropy source (common during boot, in virtualized environments, or on constrained IoT devices), the output can be predictable. Physical entropy from Real Random is directly observable. You can see the dice tumbling. You can verify the output through independent statistical testing. That transparency is the core of the "trust but verify" principle: you are not relying on a black box.
How does Real Random integrate with my existing cryptographic infrastructure?
Real Random augments your existing systems rather than replacing them. It acts as an external entropy source that feeds your current HSMs, key management systems, and certificate authorities. Integration typically requires about four lines of API code. There is no rip-and-replace. Your existing encryption stack stays in place, and Real Random strengthens it by providing a higher-quality entropy input at the foundation.
Is randomness really relevant to post-quantum cryptography (PQC)?
Yes. PQC algorithms like ML-KEM and ML-DSA require high-quality entropy to generate secure keys, just like classical algorithms do. In fact, some PQC algorithms require more entropy per key than their predecessors: ML-KEM needs 384 bits of entropy per operation compared to 256 bits in many classical schemes. The algorithms themselves are designed to resist quantum attacks on the math. But if the entropy feeding those algorithms is weak or predictable, the keys they produce are still vulnerable. Real Random is the entropy layer that makes PQC trustworthy.
What is the no-cost proof of concept, and what does it include?
The proof of concept includes a Real Random appliance installed in your environment, 30 days of operation against a scoped workload, and a written executive readout at the end. The readout covers entropy quality measurements, integration findings, and a comparison against your current entropy sources. The POC is scoped to one high-value cryptographic flow, such as key generation for payments or identity, so that the results are meaningful and directly tied to a real part of your infrastructure.
See the Randomness
for Yourself
Most entropy sources ask you to trust a black box. We'll show you ours. Tell us about your needs and we'll be in touch.
If you'd rather book a demo directly on Calendly, click here.