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The world’s first

Industrial Large Language Model

Welcome to a new era of industrial innovation, where manufacturing problem solving, analysis, and reporting for all stakeholders meets the power of generative AI. The groundbreaking Industrial Large Language Model (LLM) transforms industrial systems for enhanced manufacturing, reliability, and process optimization use cases.

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The advanced Industrial LLM is designed to revolutionize manufacturing shopfloors. Its industrial domain knowledge makes it a valuable tool for gaining important insights and clear explanations for crucial shopfloor tasks. It has been extensively trained using real historical data and domain expertise, enabling it to offer expert-level insights and reasoning. With this innovative technology, you can confidently and precisely manage the complexities of manufacturing, elevating your operations to new levels of excellence.

The Industrial LLM is trained on unique datasets encompassing events, sensor data, asset info, component types and classes, workorders, reliability, maintenance, and performance insights. The Industrial LLM unveils simple answers to complex industrial processes and data problems and reveals new insights to help improve operational efficiency and margins by putting contextualized information in the hands of operators for better, faster decision making.

Icon of a cloud with a cylindrical database symbol in front representing cloud data storage or cloud database.
1.2 billion
tokens
Central circle connected to five outer circles by straight lines forming a network or data points icon.
3 trillion
data points
Icon of a checklist with three horizontal lines on the left and a large checkmark on the right inside a rounded square border.
500,000+
machine tests
Black gear or cogwheel icon with six teeth and a circular hole in the center.
150,000+
components
Black silhouette icon of a robotic arm with a gripping claw at the end, mounted on a base, symbolizing automation or precision manufacturing.
80,000+
assets
Icon of a square list with three horizontal lines each preceded by a circular bullet point inside a rounded square border.
500+
FMEA templates
Black zigzag arrow pointing upward to the right, symbolizing growth or an upward trend.
Asset datasheets and performance curves
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Offline data, maintenance logs, and incident and accident reports

Answering tough real-world questions quickly and accurately

Chat interface titled Industrial LLM showing a vibration spectra diagnostic query about an Oil & Gas refrigeration screw compressor with data on vibration peaks at various frequencies and locations. The AI response diagnoses low severity wear on the compressor drive end and free end bearings, stating no recommendations are needed. A text input box is visible below for typing queries.
Chat interface titled 'Industrial LLM' showing a user query about vibration features of a 100-horsepower belt-driven fan with specific measurement data at various points and locations, asking for recommendations. The response states the diagnostics show a data collection fault and recommends retesting the unit, noting no data collected on the fan bearings and advising retesting all locations. The interface includes an input box at the bottom for typing queries.
Screenshot of an Industrial LLM chat interface showing a user query about vibration spectra of a centrifugal boiler feed pump with ball bearings in a coal-fired power plant, and the LLM's diagnostic response indicating angular misalignment with medium severity, recommending inspecting coupling and shaft alignment, noting misalignment and possible lack of motor support, and advising laser alignment of motor to pump.

The Industrial LLM can operate independently through an API or accessed through chatbot or role-based copilots. It seamlessly integrates with real-time data sources using a knowledge graph. The Industrial LLM serves as a foundational pillar to deploy revolutionary AI solutions within your ecosystem.

Flowchart showing data integration and processing for an industrial AI system: Conventional data (CMMS, ERP), Operational data (Historian, OMS, MES, SCADA/PLC/IoT), and Engineering data (SOPs & Docs, Images, Simulation) feed into Data Contextualization, then into a Knowledge Graph. The Knowledge Graph connects to Predictive models, which interact with a Pre-trained Industrial LLM at the center. Outputs include an interface visualizing machinery data and an API endpoint.
Diagram showing a central blue square labeled 'Pre-trained Industrial LLM' connected by arrows to five feature boxes: Explainable AI with an icon of a brain highlighting trust in copilot recommendations; Multi-language and multi modal with a speech translation icon describing communication via text, charts, images, audio, and video; User experience with a group icon describing improved productivity via reduced end-user interaction; Data privacy and security with a document lock icon describing ability to run the model within customer infrastructure; Knowledge graph with a database and AI icon describing management of an evolving knowledge graph to improve accuracy and reduce hallucination. Below are white boxes labeled CMMS, Historian, QMS, MES, ERP, SOPS & Docs, SCADA, PLC, IoT, and one blank box.

Accelerate your digital transformation using AI today. Use the Industrial LLM in the way that makes sense for your organization to accelerate the business outcomes that matter most.

Learn more

Partner with global researchers on the Industrial 4.0 generative AI journey to innovate and connect through AI.

API access

Sign up to take the Industrial LLM for a test drive with your data through the API.

Microsoft AI tools

Use the Industrial LLM in your business apps through the Microsoft Teams Library or as part of the AI Builder in Power Platform.

Industrial Copilots

Out-of-the-box generative AI applications purpose-built for industrial applications to accelerate your AI journey.

We are committed to building responsibly

The Industrial LLM’s dedication to ethical development and accountable innovation is unwavering. We prioritize transparency, fairness, and the ethical use of AI technologies, ensuring a future where AI benefits all of humanity.

Data integrity and anonymity

The Industrial LLM’s steadfast commitment to responsible development ensures data remains secure, accurate, and private. It employs robust measures to protect information, uphold anonymity, and safeguard individuals’ data privacy throughout our processes, fostering trust and responsible data management.

Responsible use guides

Visit the deployment guide on using LLMs.

Safety red-teaming

The Industrial LLM has undergone testing by partners and teams to identify performance gaps and mitigate potentially problematic responses in chat use cases. We’re committed to ongoing red-teaming to enhance safety and performance.

The Industrial LLM’s focus is on enhancing research and investment to refine the model and assessing performance across safety, bias, and utility.

The Industrial LLM is available only to a select group of Supporter members for preliminary testing. This will provide an opportunity to explore potential applications and gather invaluable feedback. The next phase of the Industrial LLMs development is to determine the safest, most responsible methods benefitting industrial use cases, expand the collaboration community, and accelerate the path to Industry 4.0.