Technology Applications

Physics-Driven Performance

We translate fundamental physics principles into practical computational methods. The results speak for themselves.

📊 Real-Time Data Processing

Validated

State estimation algorithms that preserve geometric consistency while integrating data from multiple asynchronous sensors. Derived from physics principles of how systems maintain consistency despite measurement uncertainties.

10× Accuracy<5ms Latency1.6mW Power
Markets: Autonomous vehicles • Robotics • Consumer electronics • Aerospace navigation

💾 Advanced Data Compression

Validated

Topologically-informed compression algorithms that exploit mathematical structure in data. Methods informed by information theory and geometric principles from physics.

37× CompressionLosslessReal-Time
Markets: Cloud storage • Video streaming • Scientific data • Blockchain systems

⚠️ Predictive Analytics

Validated

Early warning systems that detect approaching critical thresholds. Based on understanding of phase transitions and critical phenomena in physical systems.

2-10 Min WarningLow False PositiveUniversal
Markets: Financial trading • Network infrastructure • Manufacturing QC • Healthcare monitoring

🎥 High-Efficiency Video Encoding

Validated

Lightweight codec designed from optimization principles. Achieves competitive compression with dramatically reduced computational requirements.

4-28× Compression<20ms LatencyMCU-Ready
Markets: IoT devices • Security systems • Automotive cameras • Mobile devices

🏭 Materials Process Optimization

Validated

Process control using precisely-controlled acoustic frequencies and thermal profiles. Direct application of physics to reduce defect formation in materials manufacturing.

70% Defect Reduction35% Performance GainCost Savings
Markets: Semiconductor fab • Superconductor manufacturing • Advanced materials • Pharmaceuticals

🗄️ High-Performance Databases

Validated

Novel indexing structures leveraging mathematical principles to maintain performance at scale. Data organization inspired by hierarchical structures in physical systems.

20-50× SpeedupScalableReduced Storage
Markets: Enterprise data warehouses • Real-time analytics • E-commerce • Financial systems
The Foundation

From Physics to Performance

⚡ Optimization Principles

Understanding how physical systems naturally find optimal states informs algorithms that converge faster and achieve better results.

🔄 Phase Transitions

Knowledge of critical phenomena enables early detection of system state changes, powering predictive analytics across domains.

📊 Information Theory

Physics-derived information theory principles lead to compression methods that achieve higher ratios while maintaining integrity.

🎯 Geometric Consistency

Maintaining geometric consistency in state estimation yields dramatic improvements in sensor fusion accuracy and stability.

Licensing Opportunities

Detailed technical specifications, performance benchmarks, and integration guidance available to qualified partners under NDA.