Amazon Bedrock is a cloud computing service provided by Amazon Web Services (AWS) for building generative artificial intelligence applications. Launched in 2023, the platform provides a unified API to access foundation models (FMs) from several AI companies, alongside related tools. Bedrock is a serverless computing service which competes with similar enterprise AI platforms such as Microsoft Foundry and Google Cloud Platform.
The service abstracts the underlying infrastructure, allowing developers to integrate large language models and other AI models into applications without managing servers or directly negotiating with each model provider. It is designed for enterprise use, emphasizing security, compliance, and scalability within the AWS ecosystem.
History
Amazon announced Bedrock on April 13, 2023. The service became generally available on September 28, 2023. Initially, it offered access to models from companies including Anthropic, AI21 Labs, and Amazon itself. Throughout 2024 and 2025, AWS expanded the service to include AI agents, which allow models to interact with external systems, such as databases and APIs, to perform multi-step tasks. This evolution positioned Bedrock as a central platform for enterprise AI deployment, competing directly with offerings from Microsoft Azure and Google Cloud.
Features
Bedrock provides a range of features designed to simplify the development and deployment of generative AI applications. A core component is its unified API, which enables developers to switch between different foundation models with minimal code changes, avoiding vendor lock-in. The platform supports models from various providers, including OpenAI (via integration), Anthropic, and others, though the specific lineup has evolved over time.
Knowledge Bases: This is a managed workflow for Retrieval-Augmented Generation (RAG), which allows models to pull facts from private data stored in Amazon S3. This feature enables applications to answer questions based on proprietary corporate documents, improving accuracy and relevance without retraining the underlying model.
Guardrails: A security feature that allows administrators to set content filters and personally identifiable information redaction across all models in the platform. This increases the safety and compliance of AI deployments, helping organizations meet regulatory requirements and prevent the exposure of sensitive data.
Other capabilities include model evaluation tools, fine-tuning options, and integration with other AWS services like AWS Trainium for optimized inference. The platform also supports machine learning workflows, enabling teams to experiment with different models and configurations.
PartyRock
In November 2023, Amazon launched PartyRock, a web-based no-code environment for building generative AI applications. The platform uses a natural language interface to translate user descriptions into software widgets. These widgets enable specific AI behaviors, including text-based prompts, conversational agents, generating images, and the summarization and querying of user-uploaded documents.
PartyRock was designed to lower the barrier to entry for non-developers, allowing business users to prototype AI tools quickly. Although it initially launched with a limited-time free trial, AWS transitioned the service to a recurring free daily usage credit model in early 2025, making it accessible for ongoing experimentation and small-scale production use.
Enterprise Integration
Bedrock is tightly integrated with the broader AWS ecosystem, allowing organizations to combine generative AI with existing cloud infrastructure. This includes identity management through AWS Identity and Access Management (IAM), monitoring via Amazon CloudWatch, and data storage in S3. The serverless nature of the service means that users pay only for the compute and model usage they consume, with no upfront commitments.
The platform also supports model optimization techniques and data augmentation to improve performance for specific use cases. For enterprises, Bedrock offers features like network isolation and private endpoints, ensuring that data remains within a customer's virtual private cloud (VPC) when required.