Foundational IP for Context-Aware, Agentic AI

Our patents cover a context-aware AI database and an agentic hypothesis engine that transform raw signals into validated decisions—built for enterprises that need traceability, adaptability, and scale.

Our IP Portfolio At A Glance

Anchor Patents

Systems and methods for deriving leading indicators of future manufacturing, production, and consumption, plus generative AI systems and methods for economic analytics and forecasting—introducing a consistent semantic metadata layer, a context-aware database (CAAD), and a hypothesis generation & testing system (HGTS). (U.S. Pat. Nos. 12,093,311 B2 and 11,361,202 B2)

Continuations & CIPs

Published applications extend the methodology to broader economic analytics, behavioral prediction, agriculture & environmental signals, medical devices, generative/agentic AI systems, etc. (including US Patents: 12,086,178 B2; 12,140,915 B1; 12,088,599 B1; 12,450,284 B2; and US Patent Applications: US20220318577A1, US20230289381A1, US20230161814A1, US20240256598A1)

Core Architecture

CAAD (context-aware memory + metadata schema) + HGTS (agentic hypothesis generation, testing, promotion to CAAD/probationary stores) designed to produce leading indicators and evidence-traceable decisions.

Independent Validation

The anchor patent has been cited by U.S. and international filings from global companies—unsolicited references that indicate relevance and utility (examples listed in our deck).

Why This IP Matters

Context is the missing ingredient for reliable AI: Our inventions formalize how heterogeneous data becomes context-aware memory with consistent metadata, enabling retrieval, reasoning, and auditability across tasks.

From guesses to validated decisions: HGTS proposes hypotheses, designs tests, runs experiments on cached/public/private data, and promotes only statistically significant models; weak correlations are retained in a probationary store for re-testing as conditions change.

Leading indicators, not just summaries: The portfolio describes producing leading (and rapid coincident) indicators from direct observations (vision, sensors) and other feeds, then publishing outputs to subscribers with traceable provenance.

Enterprise-grade guardrails: The system compares model outputs to ground truth and retrains/switches models when correlations degrade—baking lifecycle management into the architecture.

This Portfolio Is Cited as Prior Art in Patents from Institutions Like:

ABS
ADT
Amazon Technologies, Inc
Beijing Arc Information Technology Co Ltd
Boston Consulting Group

China Waterborne Transport Research Institute
China Yangtze Power Co Ltd
Docusign
Endress+Hauser
Ford Global Technologies, LLC

Huazhong University of Science and Technology
Instacart
Johnson Controls
Keysight Technologies
Krones

L&T Technologies
PeerNova
Toyota Motor Corporation
Tyco
et al.

Data Source: US Patent and Trademark Office at www.uspto.gov

What This IP Covers

CAAD: Context-Aware AI Database
A consistent semantic metadata layer that normalizes heterogeneous data (images, sensors, logs, transactions), preserves provenance/time, and makes “apples-to-apples” analysis possible across sources.

Learn more about CAAD.

HGTS: Hypothesis Generation & Testing System
An agentic engine that forms hypotheses, runs planned experiments, evaluates statistical significance, and promotes durable models to CAAD; weak/novel signals persist in a “probationary” area for future refinement.

Learn more about HGTS.

Example Use Cases: Where The IP Can Apply

Cybersecurity

Proactively detecting, classifying, and mitigating potential threats in real-time. AI-enabled zero-trust infrastructure.

Equities Trading

Advanced predictive analytics to drive trade margins through improved insights and analyzing markets in micro-seconds.

Transport and Logistics

Enhancing operations and reducing total supply chain costs through optimized inventory and route management.

Industrial Automation

Boosting manufacturing agility, efficiency, and quality with real-time, predictive decision-making.

Agriculture

Predictive insights driving more accurate supply and demand planning, improved agricultural product yields and margins.

Retail

Transforming retail operations to optimize customer experiences and drive better business outcomes.

Our Portfolio of Innovations: All IP Available for License or Purchase

US Patent 11,361,202 B2: Systems and methods for deriving leading indicators of future manufacturing, production, and consumption of goods and services.

US Patent Application US20220318577A1: Systems and methods for deriving leading indicators of economic activity using predictive analytics.

US Patent Application US20230161814A1: Systems and methods for deriving leading indicators of economic activity using predictive analytics applied to pedestrian attributes to predict behaviors and influence business outcomes.

US Patent Application US20230289381A1: Deriving leading indicators of economic activity using predictive analytics applied to agricultural, mining, construction, and environmental attributes to predict ecological trends and economic outcomes.

US Patent 12,093,311 B2; International PCT/US24/35527: Generative AI systems and methods for economic analytics and forecasting.

US Patent 12,086,178 B2: Generative AI systems and methods for securities trading.

US Patent Application US20240256598A1: Generative AI and Agentic AI systems and methods for product data analytics and optimization.

US Patent 12,140,915 B1: Generative AI and Agentic AI systems and methods for industrial equipment and manufacturing analytics and optimization

US Patent 12,088,599 B1: Generative AI and Agentic AI systems and methods for prevention, detection, mitigation and remediation of cybersecurity threats.

US Patent: 12,450,284 B2: Agentic AI, Contextual AI, and Generative AI Systems and Methods for Medical and Genetic Analytics, Diagnostics, and Treatment Recommendations.

Discover how our Context-Aware Gen AI can transform your Business today.

Explore the full potential of our Agentic, Contextual and Generative AI technologies.