What challenges did Alliander face before AI implementation?

Alliander needed to accelerate digitization and the energy transition by extracting usable information from a very large archive of stored grid images at scale.

Source

Scaled productionEvidence: Medium55/100

Alliander Powers New Approach to Energy with Image Recognition Using AWS (SageMaker AI + Bedrock)

Use case typeDocument automationUpdated Jun 13, 2026

Alliander, a Netherlands-based electricity grid operator, uses AWS to accelerate innovation, digitization, and the energy transition. The company built a foundation for image recognition at scale and uses Amazon SageMaker AI to extract information from more than 17 million stored images. Amazon Bedrock is part of the generative AI workflow to support new use cases and help Alliander work smarter.

Organization: Alliander
Industry: Energy & Utilities
Location: Netherlands
Published: May 2026

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Alliander
Provider: AWS
Maturity: Scaled Production
Linked source: AWS Customer Story

The company built a foundation for image recognition at scale and uses Amazon SageMaker AI to extract information from more than 17 million stored images

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

1Image recognition
2Document and image analysis
3Generative AI assistance

Alliander uses Amazon SageMaker AI for image recognition across more than 17 million stored images.
The organization uses Amazon Bedrock as part of its generative AI workflow to enable new use cases.
AWS provides the foundation for scaling image-based automation in grid operations.

Technologies

Amazon SageMaker AI Amazon Bedrock

The company is able to work smarter by turning stored images into usable information.

Sources & evidence1

Evidence: Medium55/100Evidence strength