Amazon vs Handshake
Relationship
Amazon SageMaker Ground Truth and Handshake AI both list data labelling; both also serve buyers who need to train or fine-tune a model; Handshake's scale not recorded.
Assembled from the recorded fields for this pair, not hand-checked. The comparison below is read from each company’s own profile.
4 shared capabilities — Across all their products, both list agent orchestration, data labelling, evaluation and observability and 1 more.
Ludbee capability tags · every product each company sellsShared product type — Both ship data service.
Ludbee product recordsAligned comparison
Capability overlap
Shared · 4
Not verified for Handshake · 23
Recorded for Amazon. Handshake’s product records say nothing either way — a missing record is not a missing capability.
Handshake has no capability Amazon lacks, among the 4 recorded here.
Products, side by side
Algorithmic pairing — assembled from recorded fields, not hand-checked
Amazon
Data service
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.
Handshake
Data service
Expert human data for frontier AI labs: Handshake AI supplies training and evaluation datasets produced by a network of paid domain experts, which it says all eight of the largest frontier labs train with.
Engagements in which Handshake's researchers and expert network build agents with a company inside its own environment, tune them against evaluations to raise success rates and cut inference cost, and train models the company owns.
No counterpart
Amazon sells these in a stack layer with no product recorded for Handshake yet — nothing on the other side to compare them against.
Application
Amazon's AI shopping assistant in the Amazon Shopping app and on Amazon.com: answers shopping questions in the search bar, builds shopping guides and product comparisons, shows price history, and automates deal-finding and cart-building from the user's preferences.
Amazon's generative-AI Alexa: a conversational assistant across Echo devices and the Alexa app that handles multi-step requests, remembers context and acts on behalf of the user.
An assistant that provides conversational answers and guidance to procurement teams.
Amazon Connect Decisions provides supply chain planning and intelligence with AI teammates.
Amazon Connect Talent uses AI teammates to assess and interview candidates.
An operations service that uses machine learning to detect abnormal application behavior.
A component that lets users build workflows to automate repetitive tasks.
Business-intelligence part of Amazon Quick: dashboards, charts and embedded analytics over a company's data sources, with natural-language what-if analysis and agent-assisted exploration.
An application for building and training machine learning models without writing code.
API service
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.
AI agent
Research agent inside Amazon Quick: given a research objective it plans, searches the user's connected company data and the public web, and returns a customised report with citations to its sources.
Agent platform
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.
Developer tool
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.
Platform
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 service
Infrastructure for training, fine-tuning, serving, and observing models.
Model API
AWS service that serves models from several providers behind one API, with tooling for agents and evaluation.
Hardware
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.