The integration of Sight Machine’s industrial AI platform, Microsoft Fabric, and NVIDIA Omniverse libraries is said to provide a complete industrial AI stack for connecting, structuring, analyzing, and visualizing production data.

SAN FRANCISCO—Industrial AI company Sight Machine Inc. recently introduced AI agents that enable operators without data engineering expertise to use complex plant data to improve production performance, the company said in a release.

The company also announced an expanded integration with Microsoft Fabric and NVIDIA Omniverse libraries, and an equity investment from NVentures (NVIDIA’s venture capital arm).

“Manufacturing has long been seen as one of the best opportunities for AI, but the industry has been held back by challenging data environments in plants,” said Sight Machine CEO and Co-Founder Jon Sobel, in a statement. “Today’s announcements mark the ability for manufacturers to bring accurate, practical, and comprehensive AI to their plants in weeks, through the integration of Sight Machine’s deep data and industry expertise with the world’s leading AI ecosystems.”

Sight Machine’s industrial AI agents are reported to combine a process engineer’s deep understanding of manufacturing with a data scientist’s skill in working with data.

“The power of these industrial AI agents comes from their seamless access to Sight Machine’s uniquely comprehensive real-time data foundation, which creates a true digital twin of production processes,” the release stated. “This provides the key to unlocking value from challenging production data, delivering in weeks what otherwise often takes years.”

Sight Machine’s new AppBuilder CoPilot orchestrates multiple agents to allow numerous types of users—from plant managers to process engineers to supply chain leaders—to create industrial applications from a single prompt. This lets them immediately extract insights specific to their needs.

Users describe their needs in natural language—whether a custom KPI explorer or an app for optimizing product changeovers—and agents fluent in both manufacturing and data science automatically generate the complete application. This includes data logic, workflows, and user interface, all built on the same real-time data foundation. The result: faster problem solving, continuous innovation, and data superpowers for operations, according to Sight Machine.

The company’s new industrial AI agents, including a process optimization agent and a shift handover agent, have specialized skills on processes, equipment, user intent, data analysis, visualization, and quality assurance of generated code. These agents are said to accelerate data integration, automating the intake and transformation of streaming data into Sight Machine’s data foundation, which uses specialized data schema to capture the production process in digital form, the company said.

“Third-party developers can access Sight Machine’s agentic AI toolset and data foundation by building and deploying their own agents with Model Context Protocol (MCP) servers. Organizations using Microsoft Fabric can draw manufacturing information from Sight Machine to optimize production operations, together with enterprise functions like sales, logistics, and finance,” the release stated.

In March, Sight Machine announced the integration of NVIDIA Omniverse libraries with Operator Agent, providing real-time 3D visualization of production lines for improving line performance, rapid troubleshooting, root cause analysis, and simulation. The integrated offering  is “rapidly being deployed by leading global manufacturers in industries as diverse as automotive and transportation, bottling, CPG, food production, and pulp and paper,” the company said in the release.

At Microsoft’s FabCon conference in September, Sight Machine announced its integration with Microsoft Fabric’s Real-Time Intelligence (RTI), a centralized hub that integrates streaming operational and enterprise data with advanced analytics for business and technical users.

“The integration of Sight Machine’s industrial AI platform, Microsoft Fabric, and NVIDIA Omniverse libraries provides a complete industrial AI stack for connecting, structuring, analyzing, and visualizing production data, and for integrating the resulting insights with data from across the enterprise,” the release stated. “This combination leapfrogs the piecemeal assemblies of individual services that require years of integration and data engineering, with an enterprise-ready and scalable solution that begins delivering value to manufacturers within weeks.”