Systems, methods, kits, and apparatuses for know your model systems in value chain networks

The value chain network control tower system addresses the challenges of AI model management by employing AI-based learning models and digital twins for comprehensive lifecycle management, ensuring data quality and compliance, and enabling real-time monitoring and control.

WO2026024917A1 Publication Date: 2026-01-29STRONG FORCE VCN PORTFOLIO 2019 LLC
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Patent Information

Application Number
PCT/US2025/038985
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2025-07-22
Filing Date
2025-07-23
Publication Date
2026-01-29

AI Technical Summary

Technical Problem

Organizations face challenges in managing the lifecycle of artificial intelligence (AI) models and autonomous agents, including data governance, model management, and oversight, due to a lack of comprehensive frameworks for understanding, monitoring, and controlling these systems, especially in complex enterprise environments.

Method used

A value chain network control tower system utilizing AI-based learning models for model intake, registration, evaluation, risk assessment, deployment, monitoring, and updating, along with digital twin systems for simulation and compliance validation, to manage and govern AI models and autonomous agents.

Benefits of technology

Provides comprehensive frameworks for managing the lifecycle of AI models and autonomous agents, ensuring data quality, trustworthiness, and compliance, while enabling real-time monitoring and control, thereby enhancing operational efficiency and accountability.

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Abstract

A value chain network control tower system comprises a processor and memory configured to execute a know your model system that manages the complete lifecycle of Al models in enterprise environments. The know your model system performs model intake and registration actions including model documentation collection, registration procedures, metadata collection, input / output interface standardization, legal and licensing validation checks, and security validation. The system conducts comprehensive model evaluation and risk assessment actions by analyzing foundational properties, task performance, safety and risk management, alignment and compliance characteristics, operational metrics, and tooling transparency capabilities. The know your model system executes model deployment actions through automated environment validation, predeployment approval processes, and controlled production deployment with continuous monitoring.
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