XMPro Named as a Sample Vendor in Gartner® Report: Emerging Tech Impact Radar: Edge Artificial Intelligence

DALLAS, TEXAS – May 1, 2025 – XMPro, a provider of intelligent business operations solutions for asset-intensive industries, today announced it has been identified as a Sample Vendor in the Gartner® report "Emerging Tech Impact Radar: Edge Artificial Intelligence" published on April 24, 2025 (ID G00818506).

According to Gartner: “advancements in edge AI technology, including hardware and software solutions, are transforming the ecosystem and expanding capabilities.” XMPro was specifically named as a Sample Vendor in both the "Digital Twins" and "Packaged Business Capabilities" sections of the report.

According to the Gartner report, " A digital twin is a software-based model that represents the state of a thing, such as an asset, person or process. It embeds business process logic to optimize outcomes into software templates or models in the enabling technology. " The report also notes that "Packaged business capabilities (PBCs) are encapsulated software components that represent well-defined business functions, packaged for programmatic access."

"We believe, brecognized in this Gartner report validates our focus on enabling organizations to deploy AI at the edge where it delivers the most operational value," said Pieter van Schalkwyk, CEO of XMPro. "Our platform bridges the gap between operational technology and information technology, allowing enterprises to implement digital twins and packaged business capabilities that transform data into actionable insights for measurable business outcomes in industrial environments."

According to the Gartner report, “edge AI is delivering value across edge assets, spanning embedded sensors in industrial equipment, smart cameras in storefronts, satellites in low Earth orbit, and smart home devices.” Gartner also states that: “according to the 2025 Gartner CIO and Technology Executive Survey, 20% of the respondents have already deployed edge computing and an additional 34% expect to deploy by 2027.”

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Source: Gartner, "Emerging Tech Impact Radar: Edge Artificial Intelligence," Akhil Singh, Nick Ingelbrecht, Vibha Chitkara, Alan Priestley, Thomas Bittman, Sylvain Fabre, Ray Valdes, Wataru Katsurashima, John Santoro, Eric Goodness, Tuong Nguyen, Bart Willemsen, Scot Kim, Bill Ray, Menglin Cao, April 24, 2025, ID G00818506

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About XMPro's Approach

XMPro's intelligent business operations solution (iBOS) helps organizations implement edge AI solutions through:

• Digital Twin Implementation: Creating software-based models that represent assets, people, or processes with embedded business logic to optimize outcomes
• Packaged Business Capabilities: Delivering encapsulated software components with well-defined business functions for programmatic access
• Low-Code Development: Enabling fusion teams to create business-driven designs using accessible tools • Edge Containerization: Supporting containerized deployments at the edge to increase adoption and flexibility
• Composite AI Architecture: XMPro's platform combines multiple AI techniques including generative AI, machine learning, and domain-specific models in a unified framework that enables agents to collaborate effectively across different operational contexts
• Truth-Grounded Agents: XMPro agents utilize real-time operational data and industrial knowledge bases to ground their reasoning in factual information, reducing the risk of hallucinations and ensuring recommendations are based on operational reality
• Action Agents with Guardrails: The platform enables the configuration of agents that can not only analyze situations but also trigger actions within operational systems, while implementing appropriate governance controls and authorization workflows
• Seamless Integration: XMPro connects operational technology (OT) and information technology (IT) systems, enabling agents to access comprehensive context while bridging traditional industrial silos
• Industrial Knowledge Framework: The platform incorporates domain-specific expertise for manufacturing, mining, utilities, and other asset-intensive industries, allowing agents to understand specialized terminology and processes

Organizations can learn more about XMPro's edge AI capabilities at www.xmpro.com.

About XMPro

XMPro helps enterprises integrate data, enhance decision-making, and automate workflows to achieve measurable business outcomes. The company's Multi-Agent Generative Systems (MAGS) platform combines digital twins with generative AI to help optimize industrial operations, improve asset performance, and support decision-making. By focusing on scalability and intelligence, XMPro empowers businesses to optimize their operations and deliver value across complex environments. XMPro serves organizations in manufacturing, mining, energy, utilities, and defense sectors.