Robinhood and Epsilon Transformations Using Amazon Bedrock for Generative AI
Robinhood and Epsilon implemented generative AI solutions on AWS Amazon Bedrock platform. Robinhood scaled AI usage from 500 million to 5 billion tokens daily, cut AI costs by 80%, and halved development time while maintaining finance industry security and compliance. Epsilon automated complex marketing campaign workflows using Amazon Bedrock AgentCore, accelerating agent development from months to weeks and delivering personalized marketing at scale with reduced operational overhead.
- Organization
- Robinhood
- Industry
- Finance
- Location
- United States
- Published
- May 2026
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Robinhood, Epsilon
- Provider
- AWS
- Maturity
- Scaled Production
- Linked source
- AWS Official Website
Epsilon automated complex marketing campaign workflows using Amazon Bedrock AgentCore, accelerating agent development from months to weeks and delivering personalized marketing at scale with reduced operational overhead
Primary read
Use case focus
Showing 3 of 3
- 1Generative AI
- 2AI Agents
- 3Marketing Automation
- Robinhood leveraged Amazon Bedrock's foundation models, security, and compliance features for AI at scale.
- Epsilon used Amazon Bedrock AgentCore to build and deploy intelligent AI agents securely and efficiently.
Sources & evidence1
- Customer explicitly identified
- Deployment status explicitly supported
- Technical implementation details available
AI-generated summary. Verify important details with the linked sources before relying on this case.
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