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SIGHT MACHINE ON AZURE

Built for Industry.

Powered by Microsoft.

Accelerated by AI.

Launch AI on plant floors in weeks with the complete data and AI stack for industry on Azure

Accelerate your industrial transformation with Microsoft’s enterprise-grade AI ecosystem and Sight Machine’s unified data foundation.

In weeks, transform complex machine data into real-time intelligence and adaptive agents that power continuous improvement and breakthroughs in productivity.

One solution powered by Microsoft that unifies cloud, data, and AI into a single Marketplace offering for industrial transformation. Deployed in weeks, scaled for the enterprise.

Azure Adaptive Cloud Approach

Microsoft’s Azure adaptive cloud approach delivers the flexibility to run workloads seamlessly across edge, on-premises, and cloud environments.
It provides a unified control plane through Azure Arc, enabling manufacturers to connect and manage every site, system, and machine with the same security, resilience, and scalability that power the Microsoft Cloud.

Azure IoT Operations

Azure IoT Operations connects industrial assets to Azure with industrial-grade reliability and security.
It captures real-time machine data, normalizes it at the edge, and streams it into the unified data foundation within Fabric — bridging operational technology (OT) with enterprise systems and AI services.

Factory CONNECT

Factory CONNECT provides ready-to-deploy connectors for hundreds of industrial data sources — PLCs, SCADA, historians, MES, and more.
It ingests, contextualizes, and synchronizes production data into Azure in near real-time, creating the clean, trusted data pipeline required for analytics, Fabric, and AI applications.

Fabric RTI

Microsoft Fabric RTI (Real-Time Intelligence) unifies streaming and historical data within Microsoft Fabric.
It enables manufacturers to analyze live operational signals alongside contextual business data—powering dashboards, alerts, and adaptive AI experiences across the Microsoft ecosystem.

Factory STRUCTURE

Factory Structure transforms raw production data into a semantic, hierarchical model of every asset, line, and process.
It provides the context that allows Microsoft Fabric, Azure AI Foundry, and Copilot to reason over machine data—creating the foundation for real-time insights and autonomous decision-making.

Industrial MCP Server

Sight Machine’s MCP Server (Model Context Protocol) enables AI agents — including Microsoft 365 Copilot — to securely access and interact with contextualized industrial data.
Through this protocol, agents can query Sight Machine’s live factory models, extract operational insights, and take informed actions — all while maintaining enterprise-grade governance and data privacy.

Microsoft 365 Copilot

At the top of the stack, Microsoft 365 Copilot transforms industrial intelligence into natural-language insights for every role.
By connecting through Sight Machine’s MCP Server, Copilot and other AI agents can ask complex questions — like “Which filler line is trending toward downtime?” or “How did energy use shift after yesterday’s changeover?” — and receive context-aware answers grounded in real factory data. The result: real-time, explainable recommendations that empower teams to act faster, optimize continuously, and close the loop between insight and execution.

3D Visualization and Simulation

For customers seeking advanced simulation and digital twin capabilities, the solution integrates seamlessly with NVIDIA Omniverse.
Omniverse connects to Sight Machine’s contextual data and Microsoft Fabric to create interactive 3D twins of factories, production lines, and assets. This enables engineers and data scientists to simulate performance, test optimizations, and visualize AI recommendations in real-time — accelerating innovation while reducing risk.

Built for the teams shaping the future of manufacturing, where AI meets real-world production

Operations leaders who need rapid, measurable impact — reducing downtime, improving efficiency, and scaling best practices across sites.
Digital transformation executives driving AI adoption and cultural change across complex manufacturing networks
Engineering and maintenance teams ready to use AI agents to predict issues, optimize performance, and automate continuous improvement
IT and cloud architects who want to deploy secure, scalable AI solutions within their own Azure subscription—leveraging existing infrastructure and credits
Corporate innovators and change agents leading the shift from reactive operations to AI-driven, adaptive manufacturing