Amazon Bedrock
Access nearly 100 AI models through AWS. We build generative AI applications on Amazon Bedrock with enterprise security, governance and scale.
Multi-model access through a single API
Bedrock provides access to foundation models from multiple providers. Choose the right model for each task without managing separate vendor relationships.
Anthropic Claude
Claude models available through Bedrock with AWS security controls. Strong for reasoning, coding and complex analysis tasks.
Meta Llama
Open-weight Llama models hosted on AWS infrastructure. Good for organisations wanting model transparency and customisation options.
Amazon Titan and more
Amazon's own models plus offerings from Cohere, AI21 Labs, Stability AI and others, all accessible through a unified API.
What makes Bedrock different
Bedrock integrates generative AI into your existing AWS environment with the controls and operational model you already use.
Model choice
Access models from multiple providers through a single API. Switch or combine models without changing your application architecture.
AWS integration
Native integration with S3, Lambda, IAM, CloudWatch and other AWS services you already operate.
Knowledge Bases
Managed retrieval-augmented generation that connects models to your data sources for grounded, accurate responses.
Guardrails
Built-in content filtering and safety controls that apply consistently across models and applications.
Agents for Bedrock
Managed agent infrastructure for building AI systems that plan, use tools and complete multi-step tasks.
Fine-tuning
Customise foundation models with your own data while keeping training data within your AWS environment.
Use cases for Bedrock
Enterprise search
Knowledge Bases connecting your S3 documents, databases and internal content for accurate, sourced answers.
Customer service
Agents that handle enquiries, access account information and resolve issues within your AWS contact centre.
Document processing
Extract, classify and summarise information from documents at scale using foundation models and Textract.
Code generation
Development assistance using models accessed through Bedrock, integrated with your CI/CD pipelines.
Content creation
Generate marketing copy, product descriptions and reports grounded in your brand guidelines and data.
Data analysis
Natural language queries against your data warehouses and analytics platforms for faster insight generation.
Enterprise considerations
Bedrock inherits the security, compliance and operational controls that make AWS suitable for regulated workloads.
Security
VPC endpoints, encryption at rest and in transit, IAM policies and AWS PrivateLink support.
Compliance
SOC, HIPAA, GDPR and other compliance frameworks supported through AWS infrastructure.
Cost management
On-demand and provisioned throughput pricing with CloudWatch monitoring and cost allocation tags.
Frequently Asked Questions
When should we use Bedrock instead of direct API access?
When you are AWS-first and need AI within your existing security, billing and governance controls. Bedrock simplifies operations for teams already running on AWS.
Can we use multiple models in the same application?
Yes. Bedrock's unified API makes it straightforward to route different tasks to different models based on cost, speed and quality requirements.
How do Knowledge Bases work?
They connect your data sources to foundation models for retrieval-augmented generation. Bedrock manages the vector store, chunking and retrieval pipeline.
Does our data stay within AWS?
Yes. Your data is not used to train models and remains within your AWS account and chosen region.
Build with Amazon Bedrock
We help AWS-first organisations adopt generative AI through Bedrock. Book a call to discuss your requirements.