AWS Bedrock

A foundational platform for building generative AI applications and agents at production scale, providing access to hundreds of foundation models from leading AI companies with enterprise security, compliance, and scalability.

End-to-end platform to build, connect, and optimize AI agents securely at scale using any framework and model with no infrastructure management required.

Combines OpenAI frontier models with AWS infrastructure to deliver agents with faster execution, built-in memory, and security for teams using OpenAI models.

A flexible processing option for handling large volumes of requests asynchronously, optimized for cost-effectiveness when real-time processing is not required.

Data customization capability that enables organizations to prepare and manage data for model customization and fine-tuning.

A capability to fine-tune foundation models with your own data to optimize AI applications for specific business use cases.

Security feature that blocks up to 88% of harmful content and identifies correct model responses with up to 99% accuracy using Automated Reasoning checks to minimize hallucinations.

An optimization feature that intelligently routes prompts to the most cost-effective models while maintaining quality, reducing costs by up to 30%.

Data customization tool to move from generic AI to business-specific AI by customizing models with proprietary data while maintaining control of sensitive information.

A curated selection of hundreds of foundation models from leading AI companies with evaluation tools to help organizations choose the best model for their specific use case and performance requirements.

An optimization feature that creates smaller, efficient models from larger foundation models, achieving up to 500% faster execution and 75% cost reduction with minimal accuracy impact.

Tools to evaluate and compare foundation models based on performance and cost to select the best model for specific use cases.

An optimization feature that caches prompts to reduce latency and costs for repeated queries while maintaining application performance.

Tools and capabilities for optimizing prompts to improve model performance and accuracy for specific use cases.

Comprehensive enterprise security features including encryption in transit and at rest, identity-based access controls, comprehensive monitoring and logging, and compliance with ISO, SOC, GDPR, FedRAMP High, and HIPAA standards.

Cost optimization feature that routes prompts intelligently across models to reduce costs by up to 30% while maintaining quality.

A data customization tool that allows organizations to customize models with their own data to move from generic AI to business-specific AI.

Optimization feature that runs distilled models up to 500% faster and costs up to 75% less with minimal impact on accuracy.

Access to OpenAI models through Amazon Bedrock platform, enabling customers to choose the right model for every use case.

Optimization feature that reduces latency and costs for AI applications by caching frequently used prompts.