Build generative AI on Amazon Bedrock.
Amazon Bedrock gives you managed access to leading foundation models — including Anthropic Claude, Meta Llama, Mistral and Amazon’s own models — through one API in your AWS environment. We design, build and operate Bedrock solutions that are secure, grounded in your data and ready for production.
Overview
We help AWS customers move from experiments to production on Bedrock: selecting the right model for each task, connecting it to company knowledge with Knowledge Bases for Amazon Bedrock, adding Guardrails for safety and sensitive-data protection, and building agents that call your APIs and AWS services.
Because Bedrock runs within AWS, your solutions can use the controls you already trust — IAM, VPC endpoints via AWS PrivateLink, KMS encryption, CloudTrail and CloudWatch — and integrate with S3, Lambda, Step Functions, DynamoDB and the rest of your stack.
What you get with us.
Use-case & model selection
Benchmark models on your tasks for quality, latency and cost before you commit.
Knowledge Bases (RAG)
Managed retrieval over S3, SharePoint, Confluence and databases with citations.
Bedrock agents
Agents that plan, call your APIs and AWS services, with human approval where it matters.
Guardrails & security
Content filters, PII redaction, private networking, encryption and audit trails.
Evaluation & cost control
Automated evaluation, prompt management, caching and right-sized throughput.
Production operations
CI/CD for prompts and agents, monitoring, and continuous improvement.
Bedrock building blocks we work with
- Foundation models: Anthropic Claude, Meta Llama, Mistral, Amazon Nova and others
- Knowledge Bases for Amazon Bedrock
- Agents and Amazon Bedrock AgentCore
- Guardrails for Amazon Bedrock
- Model evaluation and prompt management
- Amazon Textract, Comprehend and SageMaker alongside Bedrock
Related articles
Amazon Bedrock for Enterprises: A Practical Guide
What Amazon Bedrock is, which models it offers, how Knowledge Bases, Agents and Guardrails work, and how to take Bedrock solutions from prototype to production.
Building RAG on Amazon Bedrock Knowledge Bases
How to build retrieval-augmented generation with Knowledge Bases for Amazon Bedrock — data sources, chunking, vector stores, metadata filtering, evaluation and security.
Amazon Bedrock vs Azure OpenAI vs Google Vertex AI
Compare Amazon Bedrock, Azure OpenAI / Azure AI Foundry and Google Vertex AI on models, RAG, agents, security, ecosystem and cost — and how to choose.
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Learn moreReady to build what’s next?
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