AWS Lake Formation

AWS framework for building and deploying AI agents with security and governance built into every action, supporting deterministic policy-based controls and scaling from single to hundreds of agents.

Fully managed service providing access to 100+ foundation models from leading AI providers including Anthropic, Meta, and Mistral, enabling inference and model customization without managing infrastructure.

Purpose-built AI agents for business operations addressing customer experience, hiring, supply chain, and healthcare workflows, leveraging decades of Amazon operational expertise.

AI assistant for work that connects to tools and data, learns how users work, and takes action including scheduling meetings, building dashboards, and following up, improving with continued use.

Fully managed machine learning platform enabling model training, fine-tuning, reinforcement learning, knowledge distillation, and continued pre-training on managed infrastructure without cluster management.

Marketplace offering 4,000+ pre-built AI agents and solutions from AWS Partners, enabling deployment of agents for specific workflows with unified billing and governance.

Custom AWS processor delivering up to 40% better price-performance for model training, inference, and agentic AI workloads.

Custom AI chip designed for model training and inference, delivering up to 40% better price-performance compared to standard compute options for AI workloads.

Agentic engineering platform that converts prompts into executable specs, validates correctness to catch bugs unit tests miss, and coordinates parallel agents across large codebases that learn from every session.

Core framework for building and deploying agentic AI systems with enterprise-grade governance and security controls.

Safety and governance tool for building responsible AI applications with Amazon Bedrock, helping implement best practices for AI risk management.

Pre-built agents powered by frontier models (including OpenAI models) for rapid deployment of agentic solutions.

Omnichannel contact center platform enhanced with agentic AI capabilities to enable employees and agents to work together and transform business functions at scale.

A family of lightweight AI models designed for cost-effective inference. Notable for enabling significant cost reductions in applications like customer support chatbots.

Data warehouse service with AI-built analytics and querying capabilities for data-driven decision making.

Object storage service with AI-integrated capabilities for storing and managing data for AI/ML workloads.

Serverless data integration service with AI capabilities for discovering, preparing, and integrating data for AI/ML.

Purpose-built AI inference chip optimized for low-cost, high-performance inference of machine learning models in production.

Data lake service that enables secure data governance and management with built-in AI capabilities for data organization and access control.

Framework and best practices guide for building responsible AI systems aligned with AWS's science-based approach to trustworthy AI.

Interactive Amazon Bedrock playground for learning generative AI fundamentals without requiring coding experience.

AI agent-driven development workflows within SageMaker to streamline ML model building and optimization processes.

AI-powered workflow guidance within Amazon SageMaker that helps automate and optimize machine learning development tasks.