Velotic has added AI assistant, Model Context Protocol, and agent-development capabilities to the ThingWorx Industrial Intelligence Platform.
Velotic has announced new agentic AI capabilities for its ThingWorx Industrial Intelligence Platform. The additions are intended to help manufacturers connect AI with industrial data, systems, applications, and operational context.
ThingWorx provides the platform foundation for Velotic’s industrial AI strategy, linking operational data and context with industrial applications. The company states that the new capabilities are available with ThingWorx 10.2.
New AI and Agent Capabilities
The release includes three components intended to provide a common foundation for industrial AI assistants and agents:
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ThingWorx AI Assistant: An AI assistant capability within the ThingWorx platform.
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ThingWorx MCP Server: Model Context Protocol support for connecting AI systems with data, tools, and applications.
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AI & Agent Services: Services for developing and extending AI assistants and agents that use industrial data and context.
Together, the capabilities are designed to support AI applications that work with existing industrial systems rather than operating as separate, isolated tools.
Related ARC Insights
ARC’s research on agentic AI emphasizes that industrial agents require reliable access to operational data, domain context, applications, and governed workflows. The following articles examine the data, context, and integration layers that underpin those capabilities.
The practical value of agentic AI in industrial settings will depend on how well agents are connected to operational context and existing systems, as well as on the controls governing their actions.
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