Amazon Bedrock

About Amazon Bedrock

Fully Managed Generative AI on AWS

Amazon Bedrock is a fully managed service that makes it simple to build and scale generative AI applications using foundation models from leading providers. With a single API, you can access models from AI21 Labs, Anthropic, Cohere, Mistral AI, Meta, DeepSeek, Stability AI, and Amazon itself—all without managing infrastructure.

Designed for Developers and Enterprises

Whether you're developing a customer support chatbot, automating content creation, or building complex AI-driven workflows, Amazon Bedrock gives you the flexibility, security, and scalability of the AWS ecosystem. It's designed to support everything from experimentation to full-scale deployment.

How Amazon Bedrock Works

One API, Multiple Models

Bedrock offers a streamlined way to access multiple large language and image models through one unified API. This simplifies testing, upgrading, and switching between models while maintaining minimal code adjustments.

Serverless Architecture

As a serverless platform, Bedrock requires no infrastructure management. It scales automatically based on demand and integrates seamlessly with existing AWS services.

Enterprise-Ready Customization

With features like fine-tuning and Retrieval Augmented Generation (RAG), you can personalize foundation models using your own data without needing ML expertise. Create AI agents that use your enterprise systems to complete tasks effectively.

Core Features of Amazon Bedrock

Access to Leading Foundation Models

Amazon Bedrock supports a broad range of model providers:

• AI21 Labs for advanced text generation and summarization
• Anthropic for thoughtful dialogue and creative writing
• Cohere for search, clustering, and text representation
• DeepSeek for high-accuracy code and reasoning tasks
• Meta and Mistral AI for diverse NLP use cases
• Stability AI for realistic image generation
• Amazon Titan models for general-purpose text and image applications

Secure, Private, and Compliant

Built with AWS-grade security, Bedrock includes:

• Data isolation and privacy controls
• Encryption at rest and in transit
• Guardrails to ensure responsible AI use
• Full compliance with industry standards

Tools for Development and Deployment

Use Bedrock to:

• Build virtual assistants and content generators
• Automate customer support responses
• Summarize and search through documents
• Generate visuals and text using prompt-based inputs

Use Cases for Amazon Bedrock

Enterprise Automation

Organizations use Bedrock to automate support tickets, streamline customer journeys, and enhance productivity through smart agents and assistants.

Creative Applications

Content teams leverage Bedrock to write copy, generate summaries, and produce AI-driven images and videos from simple prompts.

Developer Tools

Software teams benefit from models optimized for reasoning and code generation, supporting faster and more accurate development workflows.

Benefits of Using Amazon Bedrock

Start Quickly

With serverless deployment and a guided AWS setup, users can start building generative AI solutions in minutes.

Scale Without Limits

Bedrock supports enterprise-scale applications with real-time performance, reliability, and seamless model updates.

Cost-Efficient Innovation

By removing the need to build or host models, Bedrock cuts down operational overhead and speeds up go-to-market timelines.

Flexible Customization

Use fine-tuning or RAG to personalize responses based on your internal data, ensuring relevance without compromising privacy.

Trusted by Leading Organizations

• Toyota uses Bedrock to improve in-vehicle safety services
• Lonely Planet cut content creation costs by 80%
• HappyFox enhanced support ticket resolution rates by 40%
• Airtable transformed internal workflows with generative AI

Get Started with Amazon Bedrock

• Explore the AWS Free Tier to test Bedrock’s capabilities
• Use the hands-on Bedrock Workshop to build real use cases
• Review documentation for best practices and API usage