The Thermodynamic Logic of Danger Theory
Proposes context-dependent immune activation is 10-100x more energy efficient than classical models.
Ken Mendoza: Danger Theory–inspired, patent-backed platforms unifying quantum, AI, climate, sensing, and materials.
Develops a cross-domain, Danger Theory–inspired program that treats ‘danger signals’ as a unifying abstraction for reasoning about robustness in complex systems.
Granted IP establishing defensible prior art and execution depth for the H² framework.
H² framework filings across core applications.
Claim-ready H² inventions queued for filing.
Danger Theory–inspired innovator Ken Mendoza works where deep biomedical science, scalable software, and a hard‑won patent portfolio meet. He cut his teeth in Silicon Valley, building systems that had to survive real traffic and the long grind from first product to IPO. Over 25+ years in AI and software, his leadership helped take Digital Lava public on NASDAQ, giving him a builder's view of how ideas become durable companies.
The defining moment came during a deeply personal health crisis experienced by Ken's soulmate and the love of his life, Toni. Her medical journey—a relentless series of more than a hundred complex tests involving numerous specialists—ultimately led to the diagnoses of both a brain tumor and an autoimmune disease that had gone undetected for years. Living through that broke any illusion that the system was working and exposed how fragile information, follow‑up, and coordination really are. That experience didn't just change his priorities; it pulled Ken back into his Danger Theory–inspired work, pushing him to turn years of thinking about immune "danger signals" and stability into concrete tools for patients, clinicians, and cross‑domain AI and quantum systems.
Today, Ken's work turns that experience into practice: Danger Theory–inspired computational frameworks that look for "danger signals" in immune systems, physical systems, and AI. Instead of treating biology, climate, and quantum hardware as separate worlds, he applies a consistent, cross-domain robustness lens to build tools for earlier warning, better triage, and more reliable decision‑making. The portfolio now includes 14 patents granted, 5 patents pending, and 10 inventions in advanced drafting—enough structure to protect the core ideas, but with the real focus on making complex systems less fragile for patients, clinicians, and the people betting their futures on AI and quantum.
Ken Mendoza's intellectual property portfolio is built on a common mathematical foundation inspired by Danger Theory and stability control. Core framework know-how is maintained as trade secret, while domain-level applications are protected through patents and an active filing pipeline.
Hardware-compatible methods for stabilizing quantum error correction and quantum information processing.
Proprietary methods to improve AI reliability and efficiency (including reduced error modes and lower compute overhead).
Accelerated materials prediction and battery safety modeling using proprietary methods.
Quantum-era sensing and security architectures that protect quantum networks and hardware from instability and attack.
Geophysical and geospatial inversion methods for climate, subsurface imaging, and environmental risk.
Danger Theory–inspired computational approaches for immune-related and psychoneuroimmunology applications.
“Biomimetic cybersecurity and content authenticity methods designed to detect and resist manipulation.”
AI-Powered Medical Journey Companion built from lived experience navigating complex care. Consolidates symptoms, tests, and medical records into AI-accessible insights.
Learn More →Computational Immunology Research Platform exploring Polly Matzinger's Danger Theory and its implications for context-aware clinical AI. Bridging biological pattern recognition with machine learning efficiency.
Learn More →SaaS & AI Automation Innovation Lab co-founded to develop commercial AI products and build a protected innovation portfolio. Focus on business automation and intelligent systems.
Learn More →Created AI-powered medical journey platform
Building the next generation of commercial AI products with protected innovation portfolio
Independent consulting and creative ventures while maintaining expertise in technology and biomedical innovation
Arbor Vita Corporation
Developed 14 patents in proteomics and led drug target identification programs
Digital Lava Inc.
Led innovation resulting in successful NASDAQ IPO
Proposes context-dependent immune activation is 10-100x more energy efficient than classical models.
Traces the paradigm shift in immunology from self/non-self recognition to danger-based activation models.
Analyzes the "low road" neural pathway for high-contrast visual processing and its implications for AI perception.
Ken is actively seeking partnerships and collaborations across multiple domains to bring these innovations to market.
Are you an investor or strategic partner seeking to drive innovation in healthcare AI and biomedical technology? Join Ken Mendoza—AI Healthcare Founder, Biomedical Innovator, and Technology & IP Leader—in building the next generation of medical solutions. Let's explore opportunities in quantum, climate, AI, or immune monitoring together.
"Nature solved computational problems billions of years before we built computers. The immune system is a real-time error correction system operating under noisy conditions—exactly like quantum computers."
— Ken Mendoza