Using Transcendental Math to Generate Better Random Numbers
A method for creating high-quality random numbers by using complex transcendental math equations to process raw data.
Original patent title: “Systems and computer-implemented methods for generating pseudo random numbers”
A method for creating high-quality random numbers by using complex transcendental math equations to process raw data. Granted to Mesinja Pty Ltd in 2025 with 32 claims.
Key facts
Coverage
What does this patent actually cover?
This patent describes a way to make random numbers more reliable by using transcendental equations. It takes raw, messy data—like noise from a sensor—and converts it into an algebraic number. This number is then plugged into a transcendental function, which is a type of math that produces highly unpredictable results. By solving these equations, the system generates a sequence of pseudo-random numbers that are cleaner and more secure than those produced by simpler methods.
The gap
What does this patent NOT cover?
- Does not cover standard random number generation methods that rely solely on linear congruential generators.
- Does not cover hardware-only random number generation that lacks the specific transcendental equation processing step.
- Does not cover general-purpose data encryption algorithms that do not utilize transcendental functions as the primary transformation mechanism.
These exclusions are unique to PatentBrief — derived from the actual claim language, not patent-office boilerplate.
What made this novel
It uses the inherent complexity and non-repeating nature of transcendental functions to transform simple, potentially biased input data into highly unpredictable outputs.
Schematic visualization of the patent's claim structure. Hand-drawn diagrams in progress for each landmark patent.
Where you've seen this
Real-world examples
Cryptographic key generation
Secure communication protocols
Digital simulation software
Blockchain entropy sources
Why it matters
The bigger picture
Random numbers are the backbone of digital security. If a computer's random number generator is predictable, hackers can guess encryption keys. This patent provides a sophisticated mathematical approach to 'whiten' or clean up raw data, making the resulting numbers more statistically random and harder to crack.
Filed
January 6, 2021
Granted
January 14, 2025
Market context
Who's building on this
Companies in this space
Mesinja Pty Ltd is the primary holder. This technology is relevant to companies building hardware security modules (HSMs) and cybersecurity firms that focus on high-entropy random number generation for cloud infrastructure and blockchain platforms.
Market impact
As cybersecurity threats evolve, there is a constant demand for more robust random number generation to prevent side-channel attacks. This patent offers a specialized mathematical tool for developers to improve the quality of their entropy, potentially setting a new standard for how raw sensor data is processed in secure systems.
Claim 1 — Plain English
What this patent covers
This patent describes a way to make random numbers more reliable by using transcendental equations. It takes raw, messy data—like noise from a sensor—and converts it into an algebraic number. This number is then plugged into a transcendental function, which is a type of math that produces highly unpredictable results. By solving these equations, the system generates a sequence of pseudo-random numbers that are cleaner and more secure than those produced by simpler methods.
The clever bit
It uses the inherent complexity and non-repeating nature of transcendental functions to transform simple, potentially biased input data into highly unpredictable outputs.
What it does not cover
- Does not cover standard random number generation methods that rely solely on linear congruential generators.
- Does not cover hardware-only random number generation that lacks the specific transcendental equation processing step.
- Does not cover general-purpose data encryption algorithms that do not utilize transcendental functions as the primary transformation mechanism.
Patent timeline
Application submitted to the patent office
Application published, typically 18 months after filing
Patent officially issued
PatentBrief Score
Impact Score
Moderate
Citation count
0/40
No citations yet
Claim breadth
20/20
Very broad protection
Recency
20/20
Granted within 5 years
Assignee scale
0/20
Independent or smaller assigneeassigneeThe entity that owns the patent — usually the inventor's employer or a company.Read more →
PatentBrief Impact Score — based on citation count, claim breadth, recency, and assignee scale. Not a legal assessment.
Heuristic Value Estimate
What this patent might be worth
$58K – $184K
Midpoint $115K · 14.6 yr remaining · industry ×1.6
Heuristic only — blends forward/backward citation counts, claim scope, time remaining, litigation history, and CPC-derived industry baseline. Real valuations need a professional appraisal.
The original legal language
Original claims
32 claims as filed with the patent office.
Concepts involved
Citations
Patent lineage
Cite this patent
SHORTEN, R. B. (2025). Using Transcendental Math to Generate Better Random Numbers (U.S. Patent No. 12,200,123). U.S. Patent and Trademark Office. https://patentbrief.org/patent/us/12200123/starship-orbital-test-flight
Auto-generated from the patent record. Double-check author order and the issue date against the official USPTO document before submitting.
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Common Questions
Frequently Asked Questions
What does Using Transcendental Math to Generate Better Random Numbers cover?
A method for creating high-quality random numbers by using complex transcendental math equations to process raw data.
Who owns patent US 12200123?
Mesinja Pty Ltd owns this patent, granted in 2025.
When does this patent expire?
This patent is expected to expire on January 14, 2045, when the invention enters the public domain.
What problem does this patent solve?
Random numbers are the backbone of digital security. If a computer's random number generator is predictable, hackers can guess encryption keys. This patent provides a sophisticated mathematical approach to 'whiten' or clean up raw data, making the resulting numbers more statistically random and harder to crack.
What does this patent NOT cover?
Does not cover standard random number generation methods that rely solely on linear congruential generators.
Patent monitoring