RESOURCES · LIBRARY
Explore operating pressure, trusted context, decision architecture, governance, autonomy progression, implementation, and industry use cases.
Find the right resource for your stage — defining the operating path, building trusted context, governing decisions, proving readiness, or scaling bounded autonomy.
An XMPro technical white paper. The decision happens outside the model, in a decision layer — how an operator agent decides under uncertainty on a Sequential Decision Analytics foundation, and why the decision still reproduces exactly.
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An approved-access walkthrough of XMPro agentic operations in an industrial setting.
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When an AI agent makes an operational decision, can you trust it? It's the question we get asked most — and most "agentic AI" can't answer it. This is a worked example of XMPro MAGS (Multi-Agent Generative Systems), applied to a 3D-printing defect test-bed and built around the four questions that…
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The Digital Twin Consortium has published the Industrial AI Agent Manifesto — a governance framework for deploying AI agents in safety-critical industrial environments. Ten engineering laws for trustworthy autonomous operations.
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NEC NEGMAS + XMPro MAGS represent a new era of trusted enterprise negotiation AI — combining advanced multi-agent negotiation science with real-time operational intelligence. 🔹 NEC NEGMAS delivers advanced negotiation algorithms grounded in game theory, auction theory, and strategic reasoning —…
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Running a single operational decision in industry often means jumping between dashboards, alarms, CMMS, schedulers, and approval workflows. The intelligence exists. The systems exist. What’s missing is a safe way to connect them — without losing control. In this walkthrough, we show how Claude…
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The Distributed Connector Pattern: Why Where You Query Matters More Than How Fast Part 1 of a series on scaling data-intensive applications Coming in 2026: The distributed connector architecture...
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Water utilities today face increasing pressure from aging infrastructure, extreme weather, rising service expectations, and tighter regulatory demands. XMPro iBOS is the Intelligent Business Operations Suite that unifies real-time data, contextual intelligence, predictive modeling, and governed…
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Industrial autonomy is no longer theoretical. In this video, you’ll see how XMPro enables Agentic Operations for Industrial Enterprises — where AI agents collaborate, reason, negotiate, and act autonomously within governance boundaries. Unlike traditional dashboards, Agentic Operations is built for…
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Download XMPro’s definitive guide to Multi-Agent Generative Systems (MAGS) — a practical roadmap for industrial leaders who want AI that actually works in real operations, not just pilots....
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The Ultimate Guide to Industrial AI: Doing It Right at Scale A practical playbook for doing Industrial AI right at scale, built on XMPro's composable architecture and Multi-Agent Generative Systems....
Open resource →A technical paper explaining why industrial AI agents need governed decision architecture, not only reasoning models. Introduces the Cognitive Decision Loop, ORPA, scored gates, Decision Trace and bounded actuation as an architecture for industrial agent control.
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