What is Cognite Atlas AI?

Cognite Atlas AI™ is a low-code industrial AI agent workbench designed to build, deploy, and manage AI agents that leverage AI-ready industrial data to automate complex workflows and decision-making in asset- and data-heavy industries like energy, manufacturing, and power.

What problems does Cognite Atlas AI solve?

It helps organizations automate time-consuming industrial workflows, gain domain-specific insights from technical and operational data, improve safety, efficiency, and productivity through AI-driven root cause analysis, maintenance optimization, and equipment management, and handle real-time operational technology (OT), information technology (IT), and engineering data at scale.

Intended for industrial digital leaders, data scientists, engineers, and subject matter experts needing tailored AI solutions that understand complex industrial terminology and processes.

What are the key features?

Key features include a low-code agent builder to quickly build and customize AI agents using templates or from scratch; preconfigured industrial agent templates for common tasks like root cause analysis and document parsing; integration with Cognite Data Fusion® which provides seamless access to real-time, AI-ready industrial data and a curated knowledge graph; an Agent API that enables deployment across multiple applications, workflows, and clouds; multi-agent interaction allowing users to interact with multiple AI agents simultaneously without losing context; and it is secure, scalable, and compliant, aligning with EU AI Act and global standards, supporting multi-site, mission-critical operations.

How does Atlas AI handle industrial data?

Unlike traditional large language models, Atlas AI agents access real, structured industrial data within Cognite Data Fusion’s knowledge graph rather than generating probabilistic outputs, enhancing accuracy and relevance in industrial contexts.

What are the licensing and access requirements?

Atlas AI features require a separate license from the base Cognite Data Fusion subscription. Interested organizations should contact Cognite for enablement.

What are some examples of Industrial AI Agents?

Examples include the Document Parser AI Agent, which streamlines parsing and management of unstructured technical documentation, and the Time Series Analysis Agent, which efficiently surfaces trends, deviations, and root causes from sensor data.

Where can I learn more or get started?

Cognite provides product tours, demonstration videos, and a Definitive Guide to Industrial Agents to help new users understand how to implement industry-specific AI agents, and the Atlas AI agent builder has tutorials and documentation available through Cognite’s learning platform.

Cognite Atlas AI Review 2025 | Industry-Specific AI Tool

About Cognite Atlas AI

Who It's For

Cognite Atlas AI is for industrial digital leaders, engineers, and data scientists. It helps anyone in asset-heavy industries like energy or manufacturing who needs custom AI solutions. These solutions understand complex industrial terms and processes to improve operations.

What You Get

You get powerful AI agents that automate tough industrial tasks. These agents provide trusted insights based on your company's data. This leads to better safety, higher productivity, and more efficient operations across all your sites. You can also analyze problems and manage equipment faster.

How It Works

The tool offers a simple, low-code workbench with pre-built templates. This lets your team build and change AI agents without needing to write code. It connects to your industrial data through a special knowledge graph, giving the AI agents accurate context for reliable answers and actions.

Features & Capabilities

🛠️ AI Agent Development

Low-Code Interface

Enables digital teams to build and iterate AI agents without writing a single line of code.

Preconfigured Agent Templates

Offers ready-to-use templates to quickly start developing specialized industrial AI agents.

Purpose-Built Industrial Tools

Provides specialized tools for creating AI agents tailored to complex industrial environments.

📊 Industrial Data Integration

Industrial Knowledge Graph

Unifies diverse industrial data sources like time-series, documents, visual data, and 3D models into a single, contextualized view.

AI-Ready Data Foundation

Powers agents with trusted, contextualized industrial data for reliable insights and interactive performance.

Comprehensive Data Access

Breaks down data silos, making all relevant industrial data easily accessible to AI agents.

🚀 Scalability & Openness

Mission-Critical Deployment

Engineered for large-scale, robust performance and secure governance across multi-site operations.

Open & Interoperable Ecosystem

Supports integration with any cloud provider, any data source, and any Large Language Model (LLM).

Agent APIs for Integration

Enables seamless deployment of AI agents into any existing application or workflow.

🧠 Intelligent Automation

Domain-Specific Insights

Delivers accurate, industry-specific guidance by understanding unique terminology, processes, and standards.

Automated Workflow Acceleration

Embeds AI agents into existing Cognite products to streamline user workflows and automate time-consuming tasks.

Interactive Decision Support

Provides real-time, contextually relevant answers to complex questions for smarter decisions and better outcomes.

Pre-built Agent Library

Offers a collection of preconfigured agents for common industrial use cases like Root Cause Analysis and Enhanced Troubleshooting.

Use Cases

Automating Root Cause Analysis for Operational Efficiency

Industrial operations frequently encounter complex equipment failures that demand extensive manual investigation. Cognite Atlas AI enables operations teams to deploy AI agents that leverage a contextualized industrial knowledge graph, streamlining the identification of root causes and significantly reducing diagnostic time and operational downtime.

Energy, Continuous Process ManufacturingFor: Operations Teams, Maintenance Engineers

Enhancing Equipment Troubleshooting and Predictive Maintenance with AI

Reactive maintenance and complex equipment troubleshooting can lead to costly downtime in industrial settings. Cognite Atlas AI facilitates the deployment of AI agents for conversational troubleshooting and time-series analysis, providing real-time data and insights to accelerate problem resolution and optimize maintenance strategies, leading to improved asset availability.

Continuous Process Manufacturing, Power Generation, Upstream EnergyFor: Maintenance Teams, Field Operations, Engineers

Intelligent Data Contextualization and Document Management

Managing vast amounts of unstructured technical documentation and diverse operational data across industrial assets is a significant challenge. Cognite Atlas AI allows organizations to deploy agents that parse complex documents and unify various data streams, providing engineers and subject matter experts with accurate, contextualized insights for improved decision-making and automated data workflows.

All Industrial SectorsFor: Engineers, Subject Matter Experts, Data Scientists, IT Teams

Rapid Development of Custom Industrial AI Agents

Organizations in asset-heavy industries require tailored AI solutions but often face barriers in development complexity and speed. Cognite Atlas AI provides a low-code workbench with preconfigured templates, empowering digital teams to quickly build, customize, and deploy AI agents that understand specific industrial terminology and processes, thereby democratizing AI adoption and accelerating business impact.

Industrial Digital Transformation, B2B SaaSFor: Digital Transformation Leaders, Data Scientists, Industrial Developers

About Cognite Atlas AI