👉 Proprietary math refers to specialized mathematical techniques or algorithms developed by a company or organization for specific applications, often to optimize performance, security, or efficiency in proprietary software or hardware. This math may involve custom algorithms for tasks like encryption, data compression, or machine learning models tailored to a particular use case. Unlike open-source mathematics, proprietary methods are closely guarded secrets, often involving unique combinations of existing mathematical theories or entirely new constructs designed to meet specific business needs. For example, a company might develop a novel cryptographic algorithm combining number theory and algebraic geometry to enhance data security, or create a machine learning model optimized for real-time processing with custom kernel functions. The key is that these mathematical approaches are not publicly disclosed, giving the entity a competitive edge by making their technology harder to replicate or reverse-engineer.
