AI-powered workspace that brings together data, applications and workflows into a single, intelligent platform. By combining generative AI, automation, analytics and research capabilities, it enables users to quickly find insights, build dashboards, automate tasks and act across connected systems, driving faster decision-making and greater productivity.
Kiro is AWS's AI coding environment, now generally available and offered in AWS GovCloud. It writes the requirements, design, and task list before any code, then builds against them - so teams end up with software they can trace, review, and maintain instead of one-shot AI output.
Bedrock gives you one place to build with the leading AI models - Anthropic Claude, Amazon Nova, Meta Llama, OpenAI, and more - through a single API. Customer data is never used to train the models, and traffic never has to touch the public internet.
AgentCore is where AI agents go from demo to production. It handles the runtime, security, identity, memory, and monitoring so teams can focus on what the agent actually does - with any framework and any model. Available in AWS GovCloud (US-West).
Nova is Amazon's own family of AI models, built for speed and cost at scale. A strong fit for high-volume work like document processing, summarization, and chat - all delivered through Bedrock.
SageMaker AI is where teams build, train, and run their own machine learning models. Data, model development, deployment, and governance live in one place, with the security controls agencies expect.
Connect is the cloud contact center with AI built in, available in AWS GovCloud. Bots handle routine calls and chats, Amazon Q in Connect coaches live agents in real time, and Contact Lens reviews every interaction for quality and sentiment.
Transform points AI agents at the hardest modernization work: mainframe, VMware, and legacy .NET. The agents analyze, document, and migrate workloads that used to take years of manual effort.
The building blocks behind document processing and citizen-service automation. Textract pulls data out of forms and documents, Transcribe and Translate handle speech and language, Kendra powers intelligent search, and Lex and Polly run conversational voice and chat.
AWS was the first cloud provider with foundation models authorized at FedRAMP High and DoD IL-4/5 in GovCloud - starting with Anthropic Claude and Meta Llama, with OpenAI and NVIDIA models added in 2026. Bedrock, AgentCore, Kiro, and Connect all run in GovCloud, so agencies can build AI on the same compliance footing as everything else they run on AWS.
AI Agent solutions purpose-built for public sector and regulated environments. Our solutions enable organizations to deploy AI securely to improve operations, automate workflows, and enhance citizen and workforce engagement. Built on Amazon Bedrock, AgentCore, Amazon Q, and Amazon Connect, our AI Agents.
A unified suite of AI-powered solutions designed to modernize operations, automate workflows, and enhance citizen engagement.
Amazon Bedrock is a fully managed service that enables developers to build and scale generative AI applications using foundation models (FMs) from various AI providers without managing infrastructure. It allows easy integration with applications for text, image generation, and more.
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Cloud solutions that help organizations migrate, modernize and optimize their environments. Its offerings span cloud migration, managed services, security, AI and data analytics and advanced contact center solutions. Enabling improved performance, stronger security and more efficient, scalable operations.
AI-powered intelligence solutions built for state and local government. Each solution targets a specific department, solves a visible operational problem and is deployed in the customer's environment, adding a governed intelligence layer to the systems agencies already run, without replacing them.
Amazon Comprehend is a natural language processing (NLP) service that extracts meaning, sentiment, and key entities from text data. It can be used for sentiment analysis, topic modeling, and automated document classification, helping businesses make data-driven decisions from unstructured text sources. With support for multiple languages and domain-specific customization, Comprehend is a powerful tool for text analytics at scale.
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Amazon Forecast is a machine learning service that enables businesses to generate highly accurate time-series predictions based on historical data. It is commonly used for demand forecasting, financial planning, and inventory management, helping businesses optimize operations and reduce costs. Forecast automates data preprocessing, feature engineering, and model selection, making advanced forecasting accessible to non-experts.
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Amazon Kendra is an intelligent search service that uses machine learning to provide accurate answers to user queries across multiple document sources. It is designed for enterprise search applications, allowing employees and customers to find relevant information quickly. With AI-powered semantic search and natural language processing, Kendra improves knowledge discovery in organizations.
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Amazon Lex is a conversational AI service that enables developers to build chatbots and voice assistants using the same technology as Alexa. It integrates seamlessly with AWS Lambda, Amazon Connect, and other AWS services, making it easy to deploy intelligent customer engagement solutions. With built-in natural language understanding (NLU) and automatic speech recognition (ASR), Lex helps businesses automate conversations and improve customer experiences.
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Deliver AI-powered solutions from mLogica that accelerate legacy modernization and data-driven transformation. LIBERM enables automated mainframe-to-cloud migration and application modernization, while CapM provides high-performance, near real-time analytics on massive datasets, helping organizations reduce costs, improve agility and unlock actionable insights.
Amazon Personalize is a machine learning service that provides real-time personalized recommendations for applications such as e-commerce, media streaming, and content recommendations.
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Amazon Polly converts text into lifelike speech using advanced deep learning technologies, offering multiple natural-sounding voices in different languages. It supports a variety of use cases, including virtual assistants, audiobook generation, and automated customer service. Polly also offers Neural Text-to-Speech (NTTS) capabilities, delivering even more natural and expressive speech synthesis.
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Amazon Rekognition is an AI-powered image and video analysis service that enables facial recognition, object detection, and content moderation. It is widely used in security, media analysis, and automated content tagging, helping businesses streamline workflows that require visual data analysis. With real-time and batch processing capabilities, Rekognition supports applications such as biometric authentication and surveillance systems.
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Amazon SageMaker is a fully managed service that simplifies the process of building, training, and deploying machine learning models. It offers built-in algorithms, automated model tuning, and distributed training, enabling developers and data scientists to create models faster and with less complexity. SageMaker also provides MLOps capabilities, making it easier to manage, monitor, and scale machine learning workflows in production.
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Delivers AWS-based solutions that help organizations modernize, secure, and optimize their cloud environments. Its capabilities span cloud migration, AI-driven automation, managed services and security. Enabling improved performance, cost efficiency and scalable digital transformation
AI governance and security platform designed to help organizations safely adopt and scale generative AI. It provides real-time visibility, monitoring and compliance controls across AI applications. Enabling teams to manage risk, ensure regulatory alignment and maintain accountability without slowing innovation.
Leverage AI and machine learning to automate the capture, extraction and analysis of data from complex documents. By digitizing workflows and enabling intelligent search and insights, these solutions reduce manual effort, improve accuracy and enhance operational efficiency while ensuring compliance and data security.
Delivers advanced AI-driven data infrastructure and reasoning capabilities that transform fragmented, multi-source data into real-time, actionable intelligence. Designed for mission-critical environments, its platform enables rapid data fusion, automation and decision support. Helping organizations accelerate insights, improve productivity and drive faster, more informed outcomes.
Amazon Transcribe is an automatic speech recognition (ASR) service that converts audio files into accurate, readable text. It is commonly used for transcription services, customer service analytics, and closed captioning in media content. With real-time transcription, speaker identification, and custom vocabulary support, Transcribe enhances accessibility and data analysis in audio-driven applications.
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