Amazon vs Shire Intelligence

HIPAA-eligible service that transcribes patient-clinician conversations and generates preliminary clinical documentation with evidence mapping back to the transcript.

Amazon Bedrock Data Automation uses generative AI to transform multimodal data into structured formats.

Configurable safeguards for generative AI applications: filters harmful text and image content, blocks denied topics and prompt attacks, redacts personal information and detects hallucinations, on both user inputs and model responses, for Bedrock or any other model via an API.

Managed retrieval for generative AI: connects a company's documents and data sources so foundation models and agents answer from that data, including a fully managed knowledge base and structured-data retrieval that generates SQL.

Natural-language-processing service that extracts key phrases, sentiment, entities, document classification and PII redaction from text.

A natural language processing service that extracts health information from medical text.

A managed AWS service for building voice and text conversational bots, built on the same technology as Alexa.

Recommendation engine trained on user-interaction data to deliver real-time personalized recommendations across web, app and marketing channels.

A managed AWS API that converts text into synthesized speech across more than 40 languages and voice styles.

A managed AWS API for image and video analysis, including object and face detection, text extraction from images and content moderation.

A managed AWS API that extracts text, handwriting, forms and tables from scanned documents.

A managed AWS API that converts speech to text using an automatic speech recognition model.

Neural machine translation service for batch and real-time cross-lingual text translation with brand-terminology customization.

Agentic AI for healthcare providers and health-tech developers: patient verification, appointment management, ambient clinical documentation, patient insights and medical coding, delivered inside Amazon Connect Customer for patient engagement and via an SDK at the point of care.

An AWS platform for building and running AI agents that automate browser-based UI workflows, billed per agent-hour of active work.

AWS's subscription AI work assistant combining chat-based research, business-intelligence dashboards and workflow automation, positioned as the successor to Amazon Q Business.

An application that creates automations from natural language or documentation using specialized AI agents.

A developer tool that identifies expensive lines of application code through runtime analysis.

An AWS coding assistant that generates, reviews, tests and autonomously modifies code inside IDEs and the CLI.

An AutoML component that automatically creates and selects machine learning models.

A component for preparing data, engineering features, and detecting data quality issues for machine learning.

A machine learning hub for evaluating, comparing, and selecting foundation models.

A serverless service for orchestrating and monitoring repeatable machine learning workflows.

A web interface for developing, training, evaluating, and deploying AI models.

Agentic AI development platform (IDE, CLI, web, mobile) that turns prompts into executable specs, validates code with property-based testing and runs parallel agents across large codebases.

A security platform that discovers, prioritizes, validates, and remediates software security risks.

Agentic-AI enterprise IT transformation workbench that accelerates cloud migration, application modernization (mainframe, Windows, custom code) and continuous tech-debt reduction.

An AI advertising platform that unifies omnichannel advertising and automates campaign execution and optimization.

Production AI-agent operational platform (framework- and model-agnostic) providing security controls, tool integration, debugging and evaluation for deployed agents.

Cloud contact-centre service, formerly simply 'Amazon Connect', now positioned as an agentic-AI customer-experience solution: AI agents and intelligent routing across voice, chat, email, SMS, web and WhatsApp, designed on a no-code canvas, with real-time performance tracking for agents and supervisors.

Amazon Nova Forge is a service for building custom frontier models using Nova and proprietary training data.

AWS's unified platform for building, training and deploying machine learning and generative AI models.

Single browser-based environment for data and AI development: find governed data across an organisation, then query it with SQL, work in serverless notebooks with a built-in AI agent, train models and build generative AI applications in shared projects.

Infrastructure for training, fine-tuning, serving, and observing models.

A managed AWS enterprise search service that answers natural-language queries and powers retrieval-augmented generation over indexed content.

A repository for storing, sharing, and managing features used by machine learning models.

Amazon SageMaker Ground Truth creates training datasets and offers automated labeling for existing customers.

AWS service that serves models from several providers behind one API, with tooling for agents and evaluation.

AWS's custom silicon for machine learning inference, purchased via Amazon EC2 Inf1 and Inf2 instances rather than as a standalone chip.

Amazon's own training accelerator, rented by the hour inside EC2 instances rather than sold as a part.