
Sight Machine
Founded Year
2011Stage
Unattributed VC | AliveTotal Raised
$86.97MMosaic Score The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.
+44 points in the past 30 days
About Sight Machine
Sight Machine specializes in manufacturing data platforms within the industrial sector. Their offerings include tools for connecting, unifying, and analyzing factory data. The company serves sectors such as paper & tissue, packaging, chemicals, food & beverage, automotive, glass, life sciences, and machine builders. It was founded in 2011 and is based in San Francisco, California.
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Sight Machine's Products & Differentiators
Sight Machine Connect
please see this url for a detailed description (4-5 sentences) of each level of our product. We sell it as a package, and also are starting to sell layers separately. https://sightmachine.com/product/
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Research containing Sight Machine
Get data-driven expert analysis from the CB Insights Intelligence Unit.
CB Insights Intelligence Analysts have mentioned Sight Machine in 6 CB Insights research briefs, most recently on Dec 23, 2024.

Dec 23, 2024
The industrial AI agents & copilots market map
Sep 23, 2024
The semiconductor manufacturing market map
Sep 28, 2023
The automation in advanced manufacturing market map
Aug 16, 2023
The industrial internet of things (IIoT) market mapExpert Collections containing Sight Machine
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
Sight Machine is included in 5 Expert Collections, including Supply Chain & Logistics Tech.
Supply Chain & Logistics Tech
4,583 items
Companies offering technology-driven solutions that serve the supply chain & logistics space (e.g. shipping, inventory mgmt, last mile, trucking).
Advanced Manufacturing
6,887 items
Companies in the advanced manufacturing tech space, including companies focusing on technologies across R&D, mass production, or sustainability
Smart Cities
1,148 items
Future of the Factory (2024)
436 items
This collection contains companies in the key markets highlighted in the Future of the Factory 2024 report. Companies are not exclusive to the categories listed.
Artificial Intelligence
10,402 items
Sight Machine Patents
Sight Machine has filed 15 patents.
The 3 most popular patent topics include:
- data management
- data modeling
- data types

Application Date | Grant Date | Title | Related Topics | Status |
---|---|---|---|---|
5/14/2021 | 12/3/2024 | Regression analysis, IBRA regions, Production and manufacturing, Data management, Technical indicators | Grant |
Application Date | 5/14/2021 |
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Grant Date | 12/3/2024 |
Title | |
Related Topics | Regression analysis, IBRA regions, Production and manufacturing, Data management, Technical indicators |
Status | Grant |
Latest Sight Machine News
Sep 16, 2025
News provided by Share this article Share toX Sight Machine Brings the Complete Industrial AI Stack to the Factory, Delivering Results for Manufacturers in Weeks SAN FRANCISCO, Sept. 16, 2025 /PRNewswire/ -- Sight Machine Inc., the industrial AI company, today announced the launch of AI agents that enable operators without data engineering expertise to use complex plant data for improving production performance. It also announced an expanded integration with Microsoft Fabric and NVIDIA Omniverse libraries, and an equity investment from NVentures (NVIDIA's venture capital arm). Sight Machine's industrial AI agents 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. This provides the key to unlocking value from challenging production data, delivering in weeks what otherwise often takes years. "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. "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 new AppBuilder CoPilot orchestrates multiple agents to allow all 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 simply 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, including 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. Sight Machine'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 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. 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. In March, Sight Machine announced the integration of NVIDIA Omniverse libraries with Operator Agent, delivering real-time 3D visualization of production lines for improving line performance, rapid troubleshooting, root cause analysis and simulation. The solution is rapidly being deployed by leading global manufacturers in industries as diverse as automotive and transportation, bottling, CPG, food production, and pulp and paper. Additionally, at Microsoft's FabCon conference today in Vienna, 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 provide 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. 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. About Sight Machine Sight Machine brings the complete industrial AI stack to the factory in weeks, turning unstructured plant data into decisions that streamline production and unlock rapid returns. With one unified data foundation for all processes, and AI agents that connect, structure, and analyze plant data, Sight Machine transforms complex physical-world data into clear, reliable insights. These insights enable stakeholders across plants and enterprises to boost profitability, productivity, and sustainability. Sight Machine has offices in San Francisco and Ann Arbor, Mich. https://sightmachine.com/ . SOURCE Sight Machine Inc.
Sight Machine Frequently Asked Questions (FAQ)
When was Sight Machine founded?
Sight Machine was founded in 2011.
Where is Sight Machine's headquarters?
Sight Machine's headquarters is located at 243 Vallejo Street, San Francisco.
What is Sight Machine's latest funding round?
Sight Machine's latest funding round is Unattributed VC.
How much did Sight Machine raise?
Sight Machine raised a total of $86.97M.
Who are the investors of Sight Machine?
Investors of Sight Machine include NVentures, TeamViewer, Sorenson Capital, Paycheck Protection Program, Sony Innovation Fund and 16 more.
Who are Sight Machine's competitors?
Competitors of Sight Machine include MaestroHub, Falkonry, Cintoo, Seeq, Bright Machines and 7 more.
What products does Sight Machine offer?
Sight Machine's products include Sight Machine Connect and 3 more.
Who are Sight Machine's customers?
Customers of Sight Machine include Paint manufacturer .
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Compare Sight Machine to Competitors

Cognite provides industrial software solutions that focus on data contextualization and operational analytics for asset-intensive industries. The company offers products that aim to unify and analyze operational, engineering, and IT data, allowing for the development and deployment of data and AI use cases. Cognite serves sectors including oil and gas, power and utilities, renewable energy, and manufacturing. It was founded in 2016 and is based in Tempe, Arizona.

Fero Labs specializes in AI-powered optimization for industrial processes and focuses on sustainability and efficiency within the manufacturing sector. The company offers a platform that provides real-time production predictions and actionable insights to reduce costs and emissions, leveraging explainable white-box machine learning. Fero Labs primarily serves sectors such as steel, chemicals, oil and gas, cement, and consumer packaged goods industries. It was founded in 2016 and is based in New York, New York.

Falkonry specializes in time series artificial intelligence (AI) for smart manufacturing, focusing on operational efficiency and decision-making in sectors such as metals, defense and intelligence, chemicals, electronics and semiconductors, oil and gas, automotive, and pharmaceuticals. The company provides solutions that analyze operational time series data to enable condition-based actions, predictive maintenance, quality assessment, and process optimization. It was founded in 2012 and is based in Cupertino, California.

Seeq focuses on accelerating industrial process analytics through advanced analytics, machine learning, and artificial intelligence for time series data within various sectors. The company offers a suite of software and services that enable organizations to derive insights and optimize production efficiency from their operational data. Seeq's solutions cater to a diverse range of industries, including oil and gas, chemicals, pharmaceuticals, and power utilities. It was founded in 2013 and is based in Seattle, Washington.

Braincube provides Industrial technology solutions within the manufacturing sector. The company offers include an Industrial technology platform, digital twins, industrial artificial intelligence and analytics, and production visualization tools for operations, engineering, IT, and executive teams within the manufacturing industry. The company was founded in 2007 and is based in Issoire, France.

Reliability Solutions provides predictive maintenance and artificial intelligence-based analytics in the industrial sector. The company offers solutions that aim to enhance operational efficiency and anticipate machine failures by using data analysis and deep learning algorithms. These services are directed at sectors that require reliability and efficiency in their production and operational processes. It was founded in 2014 and is based in Krakow, Poland.
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