Sight Machine said the platform is designed to shorten work that typically requires data engineers, system integrators and other specialists. The company said process experts can work directly with AI agents to connect data, build the company’s Semantic Model and identify performance improvements. 

The Semantic Model maps signals to assets, assets to processes and processes to the key performance indicators used by operations teams. Sight Machine said the model gives AI agents the context needed to investigate quality drift, downtime patterns, yield gaps and other production issues. 

Blueprint, Sight Machine’s proprietary small language model, is designed to automate the process of mapping thousands of industrial tags to physical assets by analyzing data, recognizing patterns and inferring meaning. Plant engineers can define events, validate mappings and add operational knowledge to the model. 

The platform’s agents operate in investigation and recommendation mode, bringing findings to process experts for review. Recommendations can be delivered through tools operations teams already use, including Microsoft Teams, Microsoft Excel and floor kiosks. 

“Manufacturing has always had the data. What it lacked was a platform that could make that data legible to AI,” said Jon Sobel, CEO and co-founder of Sight Machine. “Sight Machine built that platform — and built it so that the people who know the plant are the ones who run it, from day one. That’s a completely different paradigm, and it’s what makes improvement compound with every run.” 

Sight Machine also publishes manufacturing intelligence as an MCP server, allowing permissioned enterprise agents to access plant-floor intelligence. The platform is designed to integrate with Microsoft Azure, Microsoft Fabric, Microsoft Teams, NVIDIA Omniverse and Databricks. 

The company said each deployment is single-tenant, with its own database, namespace and keys. Manufacturers retain control over their data and can determine which agents operate, what tools they can use and how much authority they have. 

“Everything that previously required a full team — connecting data, modeling the plant, building applications — the agent now does directly with the process expert,” said Andrew Home, vice president of product at Sight Machine. “What used to require a development sprint now happens in the course of an investigation. The platform scales to new use cases and lines without being constrained by team size.” 

Sight Machine works with manufacturers across more than 20 industries and 20 countries.