Our patent portfolio represents a decade-long progression of research and invention across artificial intelligence, automation, and advanced systems engineering. Each filing embodies a practical application of AI—bridging digital governance, infrastructure, and human-machine collaboration—to build technologies that are adaptive, explainable, and interoperable across real-world environments.

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Portfolio Details

Filed portfolio spanning AI, automation, and systems engineering — from digital rights and cybersecurity to robotics, renewable energy, and next-generation infrastructure.

 

Legal Technology and Automated Workflow Systems

Filed: 2024

ABSTRACT
An intelligent legal document generation and review system and associated methods are disclosed. The system comprises one or more processors coupled to memory storing instructions to provide a user interface for receiving user input, execute a natural language processing subsystem to extract relevant information, access a legal rules database, store document templates, and execute an Al algorithm. The Al algorithm retrieves a relevant template based on user input and extracted information, populates the template to generate a customized legal document, and stores the document. An attorney feedback loop allows attorneys to provide feedback that the Al algorithm learns from to improve document generation. The Al algorithm collaborates with attorneys to revise and finalize documents based on the feedback. The system streamlines document preparation, automates complex tasks, and provides expert guidance to help users adhere to legal requirements across jurisdictions.

 

Structural and Civil Engineering Design Automation

Filed: 2024

ABSTRACT
A data processing system and method for generating structural engineering documents using artificial intelligence (Al) is disclosed. The system comprises a memory storing a dataset of engineered structures, including instances of structural failures, and a machine learning model trained on the dataset to perform structural analysis and generate optimized design documents. The Al system receives input data specifying design requirements, simulates the structure's behaviours under
various conditions, and generates structural engineering documents, including 3D CAD models, based on an optimal combination of materials. The system may include a feedback integration module for continuous refinement of the machine
learning model, an analytics engine for performance monitoring, and an electronic filing integration for streamlining the design approval process. The Al system learns from past projects to rapidly generate code-compliant, cost-optimized, and resilient structural designs.

 

Semiconductor Process Optimization through AI Control Systems

Filed: 2024

ABSTRACT
A method and system for optimizing a semiconductor manufacturing process using an artificial intelligence (Al) system comprising machine learning (ML) models trained on mask work datasets. The Al system generates optimized process parameters for a multi-step semiconductor manufacturing process based on an input mask work. The manufacturing process includes photolithography, etching, ion implantation, chemical vapor deposition (CVD), physical vapor deposition (PVD), atomic layer deposition (ALD), thermal oxidation, and/or chemical-mechanical polishing (CMP). During manufacturing, metrology data is collected and input into the ML models to predict end-of-line electrical performance parameters. If the predicted parameters deviate from target values, the Al system adjusts process parameters to optimize performance. The ML models are retrained using the collected metrology data to improve Al system performance over time. The system includes a semiconductor manufacturing apparatus configured to perform the optimized manufacturing process.

 

 

Radiological Imaging and Medical Interface Systems

Filed: 2024

SUMMARY

An AI-driven radiology platform that combines multimodal imaging and patient data to automatically generate preliminary diagnostic reports. Radiologist feedback is then used to refine the AI’s models through active and federated learning, improving accuracy over time. The system integrates directly with electronic health records, providing faster, explainable, and continuously improving diagnostic support.

 

Intelligent Data Governance and Encryption Framework

Filed: 2024

SUMMARY

An AI-driven data management platform that automatically classifies, encrypts, and allocates financial records based on significance and legal retention requirements. The system uses machine learning to assign dynamic importance scores, directing data into optimized storage tiers — active, archival, or deletion. A user-controlled interface ensures compliance with auditing standards while reducing costs and improving data security through adaptive encryption and policy learning.

 

Adaptive AI Cybersecurity and Network Defense System

Filed:2024

SUMMARY

An AI-driven cybersecurity platform that detects, traces, and neutralizes cyber threats in real time. Using machine learning models to identify anomalies in network traffic, the system automatically adjusts firewall and routing configurations to block attacks. It continuously monitors connected devices, analyzes source metadata to trace intrusions, and updates protection protocols adaptively—providing self-learning, autonomous network defense and compliance reporting.

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AI-Optimized Renewable Energy Capture and Control System

Filed: 2024

SUMMARY

An artificial intelligence system that continuously monitors real-time and predictive environmental data—such as solar irradiance, wind speed, and ocean currents—to maximize renewable energy output. The AI dynamically adjusts the operational parameters of solar panels, wind turbines, and ocean current turbines, proactively tuning performance based on weather forecasts and environmental patterns. The result is a self-learning energy network that increases efficiency and stability across diverse renewable farms.

 

 

AI-Driven Patent Analysis and Prior Art Evaluation System Property System

Filed: 2024

SUMMARY

An artificial intelligence platform that automates patent infringement detection and prior art review. Using machine learning, natural language processing, and computer vision, the system compares product data against patent claims, drawings, and prior art references to assess similarity, novelty, and risk. It generates comprehensive reports that quantify infringement likelihood and identify innovation opportunities, dramatically reducing time, cost, and human bias in intellectual property analysis.

 

 

AI-Driven Precision Agriculture and Autonomous Farm Management System

 

Filed: 2025

A precision agriculture platform combining in-situ and aerial sensing, predictive analytics, and autonomous machinery to manage farms with minimal human input. The system integrates drones, ground sensors, and robotic equipment to perform irrigation, fertilization, and harvesting based on real-time soil and crop data. Through AI-driven modeling and variable-rate application, it continuously optimizes yield, resource efficiency, and environmental impact while enabling scalable, fully automated farm operations.

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AI-Powered Wearable Thermoregulation and Oxygen Delivery System

SUMMARY

Filed: 2025

A smart recovery system combining biometric sensing, adaptive temperature control, and dynamic oxygen delivery to optimize physiological performance and recovery. Using real-time data on heart rate, temperature, and blood oxygen, the AI engine predicts user needs and automatically adjusts cooling and oxygen flow through wearable or station-based units. Designed for both clinical and athletic applications, the system delivers personalized, data-driven thermal and respiratory support for enhanced endurance and recovery.

 

AI-Driven Industrial Robotics and Autonomous Construction Control System

Filed: 2025

SUMMARY

A next-generation control system enabling autonomous robots and heavy machinery to perform complex construction tasks with precision and safety. The platform integrates digital twin simulation, real-time sensing, and AI task planning to optimize motion paths, prevent collisions, and dynamically balance work between humans and robots. Featuring adaptive safety zones, gesture and voice control, and edge-based responsiveness, the system delivers intelligent automation for construction and manufacturing environments with minimal connectivity requirements.

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Smart Delegation and Revocation Layer (SDRL) for Context-Aware, Multi-Chain Digital Rights Management

SUMMARY

Filed: 2025

A context-aware access-control framework that unifies blockchain and enterprise identity systems under one intelligent trust layer. The SDRL enables verifiable, auditable delegation and revocation of digital rights using smart contracts and AI-driven policy engines. It dynamically adjusts permissions based on user behavior, geolocation, biometric data, and real-time risk scoring. Designed for interoperability across multiple blockchains, cloud platforms, and autonomous agents, SDRL provides adaptive, cross-domain governance for the era of decentralized and AI-integrated systems.

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All patents are U.S. utility filings under active prosecution. Additional continuations and international filings pending.

Select abstracts available upon request for partnership or licensing review.