San Diego, CA—KLATU Networks is proud to announce the award of our 10th U.S. patent, further securing our position as the industry leader in IoT-based predictive analytics for mission-critical storage systems in the life sciences and pharmaceutical sectors.
US Patent 12174043 titled "MONITORING AND PREDICTING FAILURES OF SPECIALTY EQUIPMENT INCLUDING LIQUID GAS STORAGE SYSTEMS," represents a significant advancement in our ability to predict and prevent catastrophic failures in temperature-controlled storage systems before they occur.
Building on Our Predictive Analytics Foundation
This new patent builds upon our previously awarded US Patent 11709075, expanding our TRAXX AI technology that uses LN2 supply modeling and benchmark scoring techniques to detect performance changes. While our previous innovations established methods for analyzing thermal mass consumption patterns, this latest advancement introduces revolutionary capabilities for comparative performance analysis across equipment populations.
"What makes this technology truly groundbreaking is its ability to establish baseline performance metrics for cohort equipment and detect subtle deviations that signal potential issues long before conventional monitoring systems," explains Rick Kriss, President of KLATU Networks. "Instead of just monitoring when equipment exceeds alarm thresholds, we're now able to identify when equipment is performing below its optimal efficiency level compared to its peers."
Key Innovations in the Patent
The newly patented technology introduces several key advancements:
1. Performance Scoring: Equipment is evaluated against similar systems across a reference population, creating a standardized performance metric that quickly identifies underperforming units.
2. Usage Characteristic Analysis: The system develops detailed profiles of normal thermal mass consumption patterns, detecting even minor deviations that indicate developing issues.
3. Multi-Source Data Integration: Enhanced capabilities to correlate data from supply systems and storage equipment, providing a comprehensive view of system health.
4. Intelligent Replenishment Scheduling: Optimized delivery scheduling based on predicted consumption patterns, reducing operational costs while ensuring uninterrupted operation.
Protecting Billions in Valuable Research
For life science and pharmaceutical companies, the consequences of cold storage failures extend far beyond the immediate loss of valuable materials. Legal liabilities, regulatory compliance issues, research delays, and reputational damage can multiply the impact of a single failure event.
"After witnessing devastating losses at prestigious research institutions and fertility centers—some resulting in multi-million-dollar settlements—we recognized that the approach traditional temperature monitoring systems use was inadequate," notes Kriss. "Our expanded predictive analytics platform now provides multiple layers of protection against these 'never events' by identifying potential failures at their earliest stages when intervention costs are minimal."
Eight of the top ten largest life science companies in the USA now rely on KLATU's predictive analytics to protect billions of dollars’ worth of pharmaceuticals, biological samples, and research materials. This latest patent establishes a new position for TRAXX AI in mission critical LN2 applications.