Connect

Real-time connectivity to every OT and IT data source

Agents connect to all your factory systems and sensors, streaming data continuously into a unified namespace.

Manufacturing plants are data snowflakes. Before AI algorithms can be applied, plant data accreted over decades has to be accessed, labeled, and mapped. OT data has to be made AI-ready.

Sight Machine CONNECT is the starting point for Industrial AI. By accessing data wherever it resides — assets, plant systems, IT or OT, and new or legacy systems, CONNECT ensures your data is always available, in real time.

Core Capabilities
Universal Connectivity
Access data from any OT or IT system — legacy or modern, edge or cloud — across every line and plant.
Real-Time Streaming
Continuously stream data, eliminating delays and stale snapshots, so every insight and recommendation is always current.
Automated Labeling and Namespace Creation
Agents detect, tag, and organize data points  into a unified namespace — removing manual effort and accelerating AI readiness.
Scalable Integration
Proven to onboard thousands of machines and dozens of plants in weeks, with built-in flexibility for future upgrades.
Future-Proof Foundation
Works with your evolving IT/OT landscape, ensuring data is always available for analysis, optimization, and AI-driven applications.
How it works

Agents prepare heterogenous plant data for real-time AI.

1.
Discover
Agents perform schema discovery on data sources to identify tags and system structure.
2.
Profile
Agents analyze data to detect what’s useful and what’s not — finding empty fields, unused tags, or values that never change.This is enabled through the use of Language Models applied to templates, data dictionaries, and heuristics developed over  years of plant implementations.
3.
Map
Using tag names and data values, Agents map data points to assets and organize them into an enterprise-wide Unified Namespace (UNS) that mirrors your production processes.
4.
Transform at the Edge
Lightweight transformations occur close to the source — such as feature extraction and timestamp normalization.  Pre-processing steps improve efficiency and cost, and enable Edge/Cloud balancing.
5.
Stream in Real Time
Data streams into the platform in real time, rather than arriving in static snapshots.
6.
Monitor and Assure
Tiered monitoring and alerting ensures every device is online, connected, and streaming — mission-critical for downstream AI.
7.
Adapt and Extend
Built for rapid iteration: adding fields, tags, or new sources is simple and immediate.
Integrations & Ecosystem

CONNECT works with IT and OT platforms manufacturers already trust.

Through close collaboration and partnerships, Sight Machine is deeply integrated with ecosystems from Microsoft, Siemens, Databricks, and NVIDIA, making real-time industrial data available wherever it’s needed.  
Microsoft Azure
Runs natively on Azure IoT Operations for edge-to-cloud connectivity.
Streams directly into Azure Fabric Event Hubs, ensuring plant data is available for downstream services.
Supports Microsoft’s Medallion Architecture — feeding silver-level data immediately into the lakehouse for analytics and AI.
Integrated with Azure RTI for reliable, low-latency data exchange.
Integrated with other Microsoft Fabric layers, including Co-Pilotsand M365.
Siemens Industrial Edge
Deploy Connect alongside Siemens Industrial Edge solutions for flexible, plant-level integration with existing OT infrastructure.
Open by Design
Built to integrate with modern data and AI ecosystems — cloud, edge, IT, and OT — ensuring flexibility today and tomorrow.

From disconnected systems to unified data

CONNECT ensures every machine, line, and plant is accessible in real time — with data mapped directly to your production process. It’s the essential first layer for applying AI and driving enterprise-wide improvement.

CONNECT IN CONTEXT

CONNECT is the gateway to the Sight Machine Industrial AI stack.

By unifying data from every IT and OT system in real time, CONNECT powers the next stages of the journey.
With CONNECT, you have the data needed for every step of industrial transformation.