INTELLECTUAL PROPERTY ASSETS
Patent-pending innovations, trademarks, and copyrighted works.
Available for licensing and strategic partnerships.
An entropy sensor system that dynamically measures environmental variance using information theory principles, with adaptive sensor weightings and confidence-based decision making. The system employs a sensor confidence layer that adapts to environmental conditions, providing robust variance quantification in noisy, variable environments. Uses Shannon entropy calculations across multiple sensor types including electromagnetic fields, motion, light, pressure, and orientation sensors. Applications include industrial monitoring, medical diagnostics, security systems, and scientific research.
A real-time multi-sensor correlation system that guides users to optimal moments for data capture by monitoring simultaneous anomalies across multiple sensor types. The system displays sensor states as visual indicators with priority hierarchy and identifies when multiple sensors detect anomalies concurrently, maximizing the probability of capturing significant events. The invention includes weighted sensor prioritization, real-time anomaly detection using adaptive thresholds, integration with capture devices, and user feedback mechanisms that transform complex sensor data into intuitive capture guidance. Applications include scientific research, industrial monitoring, medical diagnostics, and security surveillance.
JuJu Paranormal is a comprehensive mobile application system that combines entropy measurement technology with intuitive investigation tools. The app features real-time environmental monitoring, multi-sensor evidence capture guidance, AI-assisted analysis, and community sharing capabilities. The system is protected by both provisional patent (filed 2025) and trademark, successfully launched and actively used worldwide, demonstrating the commercial viability of entropy-based consumer applications.
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JuJu Paranormal trademark application filed for brand protection covering mobile applications, software, and related services in the investigation and monitoring technology space.
→ Visit jujuparanormal.com
A diverse catalog of copyrighted music including original compositions, recordings, and arrangements. Perfect for film, television, video games, commercials, and streaming platforms.
A global distributed sensor network implemented through a mobile application that collects, aggregates, and analyzes environmental entropy data from mobile devices worldwide. The system employs gamification mechanisms where users voluntarily contribute sensor data during recreational engagement activities, without direct compensation, creating large-scale environmental datasets. The system performs on-device entropy calculations using Shannon entropy algorithms, stores data with geographic and temporal indexing, and enables pattern recognition across aggregated global datasets. Applications include autonomous navigation, anomaly detection, environmental monitoring, and scientific research.
Pro-tocast is the first mass-produced and first motorized wooden rotocaster. Over 1,200 units sold across multiple platforms including Etsy, Krimplewips.com, eBay, and Amazon. The system combines artisan craftsmanship with mechanical innovation, featuring precision-engineered wooden components and motorized operation. Patent pending for the manufacturing process, motorization system, and design innovations that enable mass production while maintaining quality craftsmanship.
Copyright protection for custom audio engineering, sound design, and sonic experiences created for apps, games, and immersive media. Includes original compositions, sound effects, and audio production work.
Lattice is a patent-pending confidence-gated architecture for sequential models that combines temporal sequence modeling (LSTM) with behavioral archetype priors. Unlike soft weighting or always-on fusion, Lattice uses binary confidence gating—a hard threshold mechanism that completely disables archetype-based scoring when confidence falls below a threshold. This prevents false activation and enables out-of-distribution detection. Validated results show +29.9% improvement in Hit Rate@10 (p < 0.001) on MovieLens recommendation data, with correct refusal of activation on out-of-distribution data (LIGO gravitational waves, financial markets). The system demonstrates bidirectional validation: it improves performance when patterns apply and correctly refuses when they don't, maintaining epistemic humility. A detailed technical paper is in preparation and will be submitted to RecSys/NeurIPS.
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