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This technology uses advanced phytoremediation strategies to address contamination by per- and polyfluoroalkyl substances (PFAS) in soil, sediment, groundwater, and surface water. By combining contaminant mobilization, stabilization techniques, and selective use of PFAS-adapted plant strains, the approach can either enhance PFAS uptake for removal or limit contaminant movement to protect agricultural crops and ecosystems. The adaptable framework allows remediation strategies to be tailored to specific site conditions, including military installations, agricultural lands, and industrial sites. By offering a potentially lower-cost and less disruptive alternative to conventional cleanup methods, the technology supports more sustainable management of PFAS-contaminated environments. The patent-pending technology is at TRL 4 and available for licensing.

The SiC Lateral High Voltage Bi-directional Field Effect Transistor is a compact silicon carbide (SiC) power semiconductor designed to conduct current and block high voltages in both directions within a single device. Unlike conventional approaches that require multiple chips, this innovation integrates bi-directional functionality at the unit-cell level, reducing chip size, improving manufacturing efficiency, and enhancing performance. The device also incorporates a Schottky diode to improve conductivity and support high-voltage operation. Potential applications include electric vehicle charging systems, renewable energy power conversion, current source inverters, matrix converters, and smart grid technologies. The patent-pending technology is at TRL 4 and available for licensing.

AgentHeart is an AI-powered platform designed to support continuous cardiovascular monitoring and clinical decision-making. Unlike traditional “black-box” AI tools, AgentHeart emphasizes transparency and collaboration, functioning as a trusted assistant that continuously analyzes patient cardiovascular data and provides real-time, actionable insights to clinicians and care teams. By monitoring trends and identifying potential risks as they emerge, the platform supports earlier interventions, reduces diagnostic delays, and enhances care coordination. Potential applications include cardiology clinics, hospital cardiac units, telemedicine, remote patient monitoring, and clinical research. The patent-pending technology is at TRL 3 and available for licensing.

This AI-Driven System for Integrated Patent Valuation, Marketability Assessment, and Prior-Art Intelligence uses artificial intelligence, semantic analysis, and market intelligence to help inventors and intellectual property professionals evaluate patent originality, commercial potential, and competitive positioning. The platform transforms patent records into searchable vector embeddings, enabling advanced prior-art discovery and similarity analysis, while a Product-Market Fit (PMF) scoring engine assesses potential market value and relevance. By combining technical patent evaluation with market insights in a single workflow, the system simplifies complex decision-making and supports patent filing, licensing, portfolio management, and commercialization strategies. The patent-pending technology is at TRL 3 and available for licensing.

SiCN over Photonics Structures is a semiconductor manufacturing technology that improves the performance and reliability of photonic integrated circuits (PICs) through enhanced deposition and optimization of silicon carbon nitride (SiCN) and silicon nitride barrier layers. By selectively modifying these barrier materials over conductive structures, the invention reduces unwanted interactions within photonic devices while improving light-signal transmission. The approach is compatible with existing silicon-based fabrication processes, enabling adoption without major manufacturing changes. Potential applications include telecommunications, high-performance computing, aerospace, defense, automotive, and medical technologies that rely on advanced photonic systems. The patented technology is at TRL 6 and available for licensing.

MyQL: The Retrieval Augmented Tutor is an AI-powered educational platform designed to enhance learning by integrating course materials directly into a personalized tutoring experience. Using retrieval-augmented generation (RAG), the system provides context-aware answers with citations, interactive practice opportunities, and tailored feedback grounded in instructor-provided content. MyQL promotes critical thinking by encouraging students to evaluate and correct information rather than passively consume answers, while also supporting experiential and collaborative learning. Designed to operate on low-end hardware, it prioritizes accessibility, adaptability, and privacy. Potential applications include higher education, online learning, workforce training, and AI literacy programs. The patent-pending technology is at TRL 4 and available for licensing.

Hundreds of millions of smallholder farmers could help feed a growing global population while restoring nature, yet they remain among the least-supported food producers. Whole Earth Farming says the Global South’s roughly 475 million smallholder farms already produce about 30% of the world’s food, despite limited access to finance, markets and training. Author Hugh Locke argues that helping half of these farming families adopt regenerative agriculture and agroforestry could produce the additional food needed through 2050 while improving soils, biodiversity and ecosystems.