What challenges did rabbit face before AI implementation?

After CES demand surged, rabbit needed to scale its large action model quickly and securely. The company needed to support far more devices than initially planned, while improving latency, geographic support, and cost efficiency. rabbit also needed to maintain strong security and reliability during rapid growth.

Source

Evidence: Low40/100

rabbit: migrating to Amazon EKS and using Amazon Bedrock (Claude) to power a generative AI device assistant

Use case typeAI platformUpdated Jun 13, 2026

In 2024, technology startup rabbit launched the r1 handheld device, which uses voice, image, and text input to help users interact with the world around them. After a CES demand surge and preorder growth, rabbit needed scalable, secure infrastructure to support more than 100,000 devices, improve latency and rate quotas, expand geographic support, and reduce AI service costs. rabbit migrated from another cloud to a containerized infrastructure on Amazon Elastic Kubernetes Service (Amazon EKS) and optimized its AI stack on Amazon Bedrock with Anthropic Claude. With partner Caylent, rabbit also automated infrastructure management, added security controls, and prepared for over-the-air updates and future multicluster scaling.

Organization: rabbit
Industry: Consumer & Food
Location: United States
Published: May 2026

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

Customer: rabbit
Provider: AWS
Maturity: Unknown
Linked source: AWS Customer Stories

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 3 of 4

1AI-powered device assistant
2Cloud migration
3Infrastructure modernization

rabbit migrated its infrastructure to Amazon Elastic Kubernetes Service (Amazon EKS) in about two months.
The company adopted Amazon Bedrock with Anthropic Claude to power and optimize generative AI functionality for the r1 device.
With Caylent, rabbit automated infrastructure management, implemented security controls, and began preparing a multicluster, cell-based architecture on AWS.

Technologies

Amazon Elastic Kubernetes Service Amazon Bedrock Anthropic Claude 3 AWS Internet of Things AWS WAF AWS CloudFormation

The company met its launch deadline despite the hypergrowth surge.

Architecture

rabbit migrated from a different cloud provider to a containerized AWS environment centered on Amazon Elastic Kubernetes Service (Amazon EKS). The AI assistant stack was optimized with Amazon Bedrock and Anthropic Claude. Caylent helped orchestrate the migration, automate infrastructure management, implement security controls such as service control policies and AWS WAF, and prepare the environment for secure over-the-air updates and future multicluster, cell-based scaling.

Implementation partners1

Caylent

Sources & evidence1

Evidence: Low40/100Evidence strength