Cognite + AWS: The fastest way to get industrial AI into your operations
Combine Cognite's domain-specific AI agents with Amazon Bedrock's AI capabilities to accelerate time-to-value by 10x.
Increase field worker efficiency, analyze and optimize processes, and reduce troubleshooting time.
Increase production uptime, mitigate risk, and reduce costs.
Minimize the total cost of ownership
Accelerating Industrial AI with a future-proof, extensible foundation
The only low-code industrial AI agent workbench within the AWS ecosystem that uses real-time, AI-ready OT, IT, and ET data to ensure accurate, traceable, and trustworthy results for industrial workflows. Cognite on AWS empowers companies to rapidly build and scale cutting-edge industrial AI solutions, driving significant operational and financial benefits.
A partnership to help you drive and realize AI value at scale.
Cognite Quick Start on AWS
This prescriptive Quick Start is the fastest way to integrate industrial AI into your operations, building a single source of truth and paving the way for scalable AI solutions in weeks.
Accelerated Industrial AI at Scale: Rapidly build, deploy, and scale AI solutions across their entire operations at a significantly lower cost and 10x faster time-to-value.
Democratizing Industrial Data and AI: Get a composable, open, and secure solution that simplifies data integration and democratizes access to AI capabilities.
Maximized Investment and Innovation: Increase the value of existing AWS investments, while the joint offering’s open and extensible nature drives future innovation and avoids vendor lock-in.
Seamlessly integrated into AWS Architecture
Maximize the value of existing digital investments, enable interoperability across solutions, and accelerate digital transformation.
End-user applications: End users can consume contextualized data through the interfaces and tools they are familiar with.
System of Engagement: Cognite Data Fusion is a System of Engagement, providing simple access to contextualized data including non-structured data types in the data models end-users are familiar with
System of Records: AWS Master Data Warehouse / Data Lake acts as a System of Records, where customers can govern their data
Extractor orchestration: Deployment and Management of Extractors and Connectors are handled by AWS, or by Cognite Connectors / Extractors
Data extraction: A combined portfolio of AWS and Cognite extractors and connectors are used to extract data from source systems: Sitewise, Greengrass, OPC UA, PI, SAP, WITSML, OSDU, etc.
Contact us to learn more
Get in touch with our product experts to hear more about our solutions and partners, or go directly to AWS Marketplace to learn more about our offer.