# 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.

- **Patent:** US 12200123
- **Original title:** Systems and computer-implemented methods for generating pseudo random numbers
- **Owner:** Mesinja Pty Ltd
- **Granted:** 2025
- **Status:** Active
- **Times cited:** 0
- **Field:** software, ai_ml, telecommunications, finance, semiconductors

## What it does

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.

## 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.

## 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.

## Real-world examples

1. Cryptographic key generation
2. Secure communication protocols
3. Digital simulation software
4. Blockchain entropy sources

## Why it matters

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.

## 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.

**Full plain-English explainer:** https://patentbrief.org/patent/us/12200123/starship-orbital-test-flight

**Original patent:** https://patents.google.com/patent/US12200123

---

_Source: PatentBrief — https://patentbrief.org. Patent facts are from public records; the plain-English explanation is PatentBrief's._


## Related patents

Semantically similar inventions in the PatentBrief corpus:

- [How Cloud Systems Automatically Create and Train AI Data Models](https://patentbrief.org/patent/us/11615208/dall-e-text-to-image-generation) — A cloud-based system that generates fake, privacy-safe data to train AI models, ensuring they remain accurate while protecting sensitive personal information.
- [How to Create a Secret Code Key Without Meeting First](https://patentbrief.org/patent/us/4200770/diffie-hellman-public-key-exchange) — This 1980 patent describes a way for two people to create a secret code key over a public channel, like the internet, without ever meeting or sharing the key directly.
- [How RSA Public-Key Encryption Keeps Digital Messages Secret](https://patentbrief.org/patent/us/4405829/rsa-encryption) — This patent describes the foundational RSA algorithm, a method for securely sending messages where anyone can encrypt a message using a public key, but only the intended recipient can decrypt it using a secret private key.
- [Training AI on Private Data Without Seeing It](https://patentbrief.org/patent/us/12518214/distributed-machine-learning-systems-including-generation-of-synthetic-data) — This patent describes a way to train artificial intelligence models using private data stored on many separate computers, by generating fake data that mimics the real data's patterns, so the private data itself never leaves its original location.
- [Using Non-AI Systems to Improve AI Text Generation](https://patentbrief.org/patent/us/12353827/computer-implemented-methods-for-the-automated-analysis-or-use-of-data-including) — This patent describes a method where a traditional, rule-based computer system helps a Large Language Model (LLM) generate more accurate and reliable text by providing it with better context and fact-checking.