Atlas AI

Developer toolsAgent-Building Frameworks and PlatformsGenerating apps

What is Atlas AI?

Cognite Atlas AI is an industrial agent workbench designed to extend Cognite Data Fusion®, enabling users to harness the power of generative AI for complex industrial operations. With a low-code industrial agent builder, it empowers users to create and deploy custom agents tailored to domain-specific tasks, such as workflow automation, decision-making support, and context-aware insights. By leveraging Context Augmented Generation (CAG) and industrial use-case-tailored autoLLM capabilities, Atlas AI enhances accuracy and relevance for industry-specific applications. It also integrates seamlessly with the Cognite product portfolio and third-party interfaces like Microsoft Copilot, ensuring easy deployment and scalability for generating significant business impact.

Features

Enables low-code creation of industrial agents

Provides Context Augmented Generation for accuracy

Supports seamless integration with third-party tools

Offers autoLLM for model optimization

Links

Website

Pros and Cons of Atlas AI

Pros

Accelerates operational efficiencies with automation

Enhances decision-making with domain-specific insights

Reduces complexity in deploying industrial agents

Ensures scalability across diverse industrial use cases

Drives significant business value with tailored solutions

Cons

Limited customization for non-industrial applications

Requires initial setup for optimal integration

Dependent on quality of underlying data and models

Atlas AI Use Cases

Automation of complex industrial workflows

Decision-making support with domain-specific insights

Deployment of AI agents in third-party interfaces

Optimization of foundational models for industrial use cases

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