Company · Directory listing
Amazon Web Services
Amazon Web Services, Inc. · Seattle, United States · US · 39 listings
Claim status: UNCLAIMED · No published reviews · Directory only — not ranked
Amazon Web Services is Amazon's cloud division selling compute, storage, Bedrock model hosting and related AI infrastructure. Public pages cover regional cloud services for builders and enterprises. Amazon Web Services publishes Amazon Comprehend PII Detection, Agents for Amazon Bedrock, and AWS Device Farm as named AI products.
Company details
About Amazon Web Services
Amazon Web Services is Amazon's cloud division selling compute, storage, Bedrock model hosting and related AI infrastructure. Public pages cover regional cloud services for builders and enterprises. Amazon Web Services publishes Amazon Comprehend PII Detection, Agents for Amazon Bedrock, and AWS Device Farm as named AI products.
- Legal name
- Amazon Web Services, Inc.
- Headquarters
- Seattle, United States
- Markets
- —
- Company size
- —
Directory & rankings
Customer ranking
Directory only. This listing has no customer stars or ranked position.
- Generative-AI infrastructure · Directory only · Free listing · ranking code packs from £200 ex VAT
- Agent builders · Directory only · Free listing · ranking code packs from £200 ex VAT
- AI agents · Directory only · Free listing · ranking code packs from £200 ex VAT
- Guardrails · Directory only · Free listing · ranking code packs from £200 ex VAT
- Sentiment analysis · Directory only · Free listing · ranking code packs from £200 ex VAT
- PII detection / redaction · Directory only · Free listing · ranking code packs from £200 ex VAT
- AI SRE · Directory only · Free listing · ranking code packs from £200 ex VAT
- Cybersecurity · Directory only · Free listing · ranking code packs from £200 ex VAT
- Enterprise search · Directory only · Free listing · ranking code packs from £200 ex VAT
- Enterprise AI chatbots · Directory only · Free listing · ranking code packs from £200 ex VAT
- Knowledge graphs · Directory only · Free listing · ranking code packs from £200 ex VAT
- Speech models · Directory only · Free listing · ranking code packs from £200 ex VAT
- Computer-use agents · Directory only · Free listing · ranking code packs from £200 ex VAT
- Multimodal models · Directory only · Free listing · ranking code packs from £200 ex VAT
- Recommendation engines · Directory only · Free listing · ranking code packs from £200 ex VAT
- Text-to-speech · Directory only · Free listing · ranking code packs from £200 ex VAT
- Coding assistants · Directory only · Free listing · ranking code packs from £200 ex VAT
- Enterprise copilots · Directory only · Free listing · ranking code packs from £200 ex VAT
- Object detection · Directory only · Free listing · ranking code packs from £200 ex VAT
- Facial recognition · Directory only · Free listing · ranking code packs from £200 ex VAT
- Vector databases · Directory only · Free listing · ranking code packs from £200 ex VAT
- AutoML · Directory only · Free listing · ranking code packs from £200 ex VAT
- Predictive analytics · Directory only · Free listing · ranking code packs from £200 ex VAT
- Data preparation · Directory only · Free listing · ranking code packs from £200 ex VAT
- Feature stores · Directory only · Free listing · ranking code packs from £200 ex VAT
- Data labelling · Directory only · Free listing · ranking code packs from £200 ex VAT
- Model training · Directory only · Free listing · ranking code packs from £200 ex VAT
- Data extraction · Directory only · Free listing · ranking code packs from £200 ex VAT
- Speech recognition · Directory only · Free listing · ranking code packs from £200 ex VAT
- Translation · Directory only · Free listing · ranking code packs from £200 ex VAT
- AutoML · Directory only · Free listing · ranking code packs from £200 ex VAT
- Privacy-enhancing AI · Directory only · Free listing · ranking code packs from £200 ex VAT
- Software testing · Directory only · Free listing · ranking code packs from £200 ex VAT
- AI SRE · Directory only · Free listing · ranking code packs from £200 ex VAT
- IoT AI · Directory only · Free listing · ranking code packs from £200 ex VAT
- Digital twins · Directory only · Free listing · ranking code packs from £200 ex VAT
- RAG systems · Directory only · Free listing · ranking code packs from £200 ex VAT
- Multi-agent systems · Directory only · Free listing · ranking code packs from £200 ex VAT
- Embedding models · Directory only · Free listing · ranking code packs from £200 ex VAT
0 customer relationships verified at V3+ · Trustmark assessment results never affect this order.
Listings
Products and services from Amazon Web Services
39 products are listed for this company. Functional classification, deployment and autonomy are descriptive attributes. Impact class remains a separate assurance result.
- Public JSON for website embeds
PLATFORM INFRASTRUCTURE · Generative-AI infrastructure · AI Infrastructure
Secondary: Model hosting / inference, Model routing
- Sectors
- Not specified
- Deployment
- Not specified
- Capabilities
- Not specified
- Autonomy
- ASSISTIVE
- Data exposure
- Not specified
What the vendor’s website says · supplier-provided, not verified evidence
Amazon Bedrock is AWS's fully managed service for building generative AI applications and agents. It offers access to foundation models from Amazon and other model providers through a single API, along with tools for retrieval-augmented generation, model customisation, agents, evaluation and guardrails.
- Public JSON for website embeds
PLATFORM INFRASTRUCTURE · Agent builders · Agents & Automation
- Sectors
- Not specified
- Deployment
- Not specified
- Capabilities
- Not specified
- Autonomy
- ASSISTIVE
- Data exposure
- Not specified
What the vendor’s website says · supplier-provided, not verified evidence
Amazon Bedrock AgentCore is an AWS service for deploying and operating AI agents in production. It provides managed runtime, identity and access control for agent tool calls, memory, gateways to tools, and observability for tracing and evaluating agent behaviour, and works with any agent framework and model.
- Public JSON for website embeds
PLATFORM INFRASTRUCTURE · AI agents · Agents & Automation
- Sectors
- Not specified
- Deployment
- Not specified
- Capabilities
- Not specified
- Autonomy
- ASSISTIVE
- Data exposure
- Not specified
What the vendor’s website says · supplier-provided, not verified evidence
Amazon Bedrock Agents is an AWS capability in Amazon Bedrock for building agents that use foundation model reasoning, company APIs and data sources to break down user requests and complete multistep tasks. Developers pick a model and write instructions in natural language, and the agent plans the steps, calls the required APIs and asks for more information when it needs it. Features include retrieval-augmented generation over company knowledge bases, memory retained across interactions, secure code interpretation for analysis and maths, Amazon Bedrock Guardrails, and multi-agent collaboration under a supervisor agent. AWS states that Amazon Bedrock Agents Classic is no longer available to new customers and points them to Amazon Bedrock AgentCore for similar capabilities.
- Public JSON for website embeds
PLATFORM INFRASTRUCTURE · Guardrails · AI Safety & Security
- Sectors
- Not specified
- Deployment
- Not specified
- Capabilities
- Not specified
- Autonomy
- ASSISTIVE
- Data exposure
- Not specified
What the vendor’s website says · supplier-provided, not verified evidence
Amazon Bedrock Guardrails provides configurable safeguards for generative AI applications. Policies cover content filtering, prompt attack detection, denied topics, sensitive information (PII) redaction and hallucination checks through contextual grounding and Automated Reasoning, and can be applied to models in Bedrock or to self-hosted and third-party models.
- Public JSON for website embeds
MODEL API · Sentiment analysis · Customer Service & CX
- Sectors
- Not specified
- Deployment
- Not specified
- Capabilities
- Not specified
- Autonomy
- ASSISTIVE
- Data exposure
- Not specified
What the vendor’s website says · supplier-provided, not verified evidence
Amazon Comprehend is an AWS natural language processing service that uses machine learning to extract insights from unstructured text. It identifies entities, key phrases, language and sentiment, supports custom classification and entity recognition, and can detect PII and toxic content.
- Public JSON for website embeds
MODEL API · PII detection / redaction · Privacy, Identity & Trust
Secondary: DLP
- Sectors
- Not specified
- Deployment
- API
- Capabilities
- Extraction, Classification
- Autonomy
- ASSISTIVE
- Data exposure
- Not specified
What the vendor’s website says · supplier-provided, not verified evidence
Amazon Comprehend PII detection is a feature of the Amazon Comprehend NLP service that finds and redacts personally identifiable information in text. It can process customer emails, support tickets, product reviews and other documents, for example to remove PII before indexing content into a search solution, with no machine learning expertise required.
- Public JSON for website embeds
SOFTWARE PRODUCT · AI SRE · Developer & Engineering
- Sectors
- Not specified
- Deployment
- Not specified
- Capabilities
- Not specified
- Autonomy
- ASSISTIVE
- Data exposure
- Not specified
What the vendor’s website says · supplier-provided, not verified evidence
Amazon DevOps Guru is an AWS machine learning service that detects abnormal operating patterns in applications. It analyses operational data and metrics to flag anomalies, group related issues into insights, and recommend remediation so teams can address problems before customers are affected.
- Public JSON for website embeds
SOFTWARE PRODUCT · Cybersecurity · AI Safety & Security
- Sectors
- Not specified
- Deployment
- Not specified
- Capabilities
- Not specified
- Autonomy
- ASSISTIVE
- Data exposure
- Not specified
What the vendor’s website says · supplier-provided, not verified evidence
Amazon GuardDuty is an AWS threat detection service that continuously monitors for malicious activity and anomalous behaviour. It analyses sources such as account activity, network and DNS logs and workload runtime events to protect AWS accounts, workloads and data, and produces prioritised security findings.
- Public JSON for website embeds
PLATFORM INFRASTRUCTURE · Enterprise search · Search, Research & Knowledge
- Sectors
- Not specified
- Deployment
- Not specified
- Capabilities
- Not specified
- Autonomy
- ASSISTIVE
- Data exposure
- Not specified
What the vendor’s website says · supplier-provided, not verified evidence
Amazon Kendra is an AWS intelligent enterprise search service powered by machine learning. It indexes content from many repositories through built-in connectors and returns natural-language answers and relevant documents, and can act as a retriever for retrieval-augmented generation applications.
- Public JSON for website embeds
PLATFORM INFRASTRUCTURE · Enterprise AI chatbots · General-purpose AI
- Sectors
- Not specified
- Deployment
- Not specified
- Capabilities
- Not specified
- Autonomy
- ASSISTIVE
- Data exposure
- Not specified
What the vendor’s website says · supplier-provided, not verified evidence
Amazon Lex is a fully managed AWS service for building conversational interfaces using voice and text. Developers use it to create chatbots, voice assistants, interactive voice response (IVR) flows and virtual agents, with speech recognition and language understanding built in and integration with Amazon Connect.
- Public JSON for website embeds
PLATFORM INFRASTRUCTURE · Knowledge graphs · Search, Research & Knowledge
- Sectors
- Not specified
- Deployment
- Not specified
- Capabilities
- Not specified
- Autonomy
- ASSISTIVE
- Data exposure
- Not specified
What the vendor’s website says · supplier-provided, not verified evidence
Amazon Neptune is a fully managed AWS graph database service. It supports property graph and RDF models with Gremlin, openCypher and SPARQL queries, and is used for identity graphs, knowledge graphs, fraud detection and graph analytics, including use alongside generative AI applications.
- Public JSON for website embeds
MODEL API · Speech models · Models & Foundation AI
- Sectors
- Not specified
- Deployment
- Not specified
- Capabilities
- Not specified
- Autonomy
- ASSISTIVE
- Data exposure
- Not specified
What the vendor’s website says · supplier-provided, not verified evidence
Amazon Nova 2 Sonic is Amazon's speech-to-speech foundation model for building natural, real-time voice conversation applications. It is available through Amazon Bedrock, including the bidirectional streaming API, and accepts speech and text input for voice agents and conversational assistants.
- Public JSON for website embeds
Amazon Nova Act
From their website · not verified evidence
PLATFORM INFRASTRUCTURE · Computer-use agents · Agents & Automation
- Sectors
- Not specified
- Deployment
- Not specified
- Capabilities
- Not specified
- Autonomy
- ASSISTIVE
- Data exposure
- Not specified
What the vendor’s website says · supplier-provided, not verified evidence
Amazon Nova Act is an AWS service for building and managing fleets of AI agents that automate browser-based UI workflows (computer use) in production. Powered by a custom Nova 2 Lite model, agents are built with a mix of natural language and Python, prototyped in an online playground, refined in the IDE and deployed to AWS; they can also call APIs or tools and escalate to a human when needed.
- Public JSON for website embeds
MODEL API · Multimodal models · Models & Foundation AI
- Sectors
- Not specified
- Deployment
- Not specified
- Capabilities
- Not specified
- Autonomy
- ASSISTIVE
- Data exposure
- Not specified
What the vendor’s website says · supplier-provided, not verified evidence
Amazon Nova Pro is a multimodal understanding model in the Amazon Nova family on Amazon Bedrock. It processes text, images and video to answer questions, analyse documents and media, and support agentic workflows, alongside the other Nova models for content creation and speech-to-speech.
- Public JSON for website embeds
PLATFORM INFRASTRUCTURE · Recommendation engines · Personalisation & Recommendations
Secondary: Personalisation platforms
- Sectors
- Not specified
- Deployment
- Not specified
- Capabilities
- Not specified
- Autonomy
- ASSISTIVE
- Data exposure
- Not specified
What the vendor’s website says · supplier-provided, not verified evidence
Amazon Personalize is an AWS machine learning service for building recommendation systems. Developers use their own interaction, item and user data to train models for real-time personalised recommendations, similar items, personalised ranking and user segmentation, without needing machine learning expertise.
- Public JSON for website embeds
MODEL API · Text-to-speech · Voice, Audio & Music
- Sectors
- Not specified
- Deployment
- Not specified
- Capabilities
- Not specified
- Autonomy
- ASSISTIVE
- Data exposure
- Not specified
What the vendor’s website says · supplier-provided, not verified evidence
Amazon Polly is an AWS text-to-speech service that turns text into lifelike speech. It offers a range of voices and languages, including neural and generative voices, supports SSML for controlling pronunciation and delivery, and is used to build applications such as voice assistants, e-learning and content narration.
- Public JSON for website embeds
SOFTWARE PRODUCT · Coding assistants · Developer & Engineering
- Sectors
- Not specified
- Deployment
- Not specified
- Capabilities
- Not specified
- Autonomy
- ASSISTIVE
- Data exposure
- Not specified
What the vendor’s website says · supplier-provided, not verified evidence
Amazon Q Developer is AWS's AI assistant for coding, AWS console tasks, and developer productivity (CodeWhisperer lineage). Public marketing also emphasises deep AWS service context. It is presented for AWS-centric engineering organisations.
Who they say it is for. AWS-centric engineering organisations
How they differentiate (vendor-claimed)
- Deep AWS service context
- Enterprise IAM/governance via AWS
Freemium (supplier-claimed)
Cited from aws.amazon.com · read 2026-09-12. TrustMark has not independently verified these statements.
- Public JSON for website embeds
SOFTWARE PRODUCT · Enterprise copilots · General-purpose AI
- Sectors
- Not specified
- Deployment
- Not specified
- Capabilities
- Not specified
- Autonomy
- ASSISTIVE
- Data exposure
- Not specified
What the vendor’s website says · supplier-provided, not verified evidence
Amazon Quick is the AWS AI assistant for work. It connects a team's tools and data in one place and uses agentic teammates for research, business intelligence and dashboards, automation and no-code app building, with answers grounded in the organisation's own business data.
- Public JSON for website embeds
MODEL API · Object detection · Computer Vision
Secondary: Image recognition, Facial recognition
- Sectors
- Not specified
- Deployment
- Not specified
- Capabilities
- Not specified
- Autonomy
- ASSISTIVE
- Data exposure
- Not specified
What the vendor’s website says · supplier-provided, not verified evidence
Amazon Rekognition is an AWS computer vision service that adds image recognition and video analysis to applications without machine learning expertise. It detects objects, scenes, text and faces, supports content moderation and face comparison, and analyses both stored and streaming video.
- Public JSON for website embeds
MODEL API · Facial recognition · Computer Vision
- Sectors
- Not specified
- Deployment
- Not specified
- Capabilities
- Not specified
- Autonomy
- ASSISTIVE
- Data exposure
- Not specified
What the vendor’s website says · supplier-provided, not verified evidence
Amazon Rekognition Face Liveness is an AWS capability that checks a real person is present during facial verification, helping block spoofs such as printed photos, screen replays, masks and injected video. It is used in identity verification and sign-in flows alongside Rekognition face comparison.
- Public JSON for website embeds
PLATFORM INFRASTRUCTURE · Vector databases · AI Infrastructure
- Sectors
- Not specified
- Deployment
- Not specified
- Capabilities
- Not specified
- Autonomy
- ASSISTIVE
- Data exposure
- Not specified
What the vendor’s website says · supplier-provided, not verified evidence
Amazon S3 Vectors is purpose-built vector storage in Amazon S3 for AI agents, inference and semantic search. It provides dedicated APIs to store and query up to billions of vectors without provisioning infrastructure, with sub-second queries, and integrates with Amazon Bedrock Knowledge Bases and Amazon OpenSearch Service for RAG.
- Public JSON for website embeds
PLATFORM INFRASTRUCTURE · AutoML · Data & Machine Learning
Secondary: Predictive ML
- Sectors
- Not specified
- Deployment
- SaaS, API
- Capabilities
- Forecasting, Classification
- Autonomy
- ASSISTIVE
- Data exposure
- Not specified
What the vendor’s website says · supplier-provided, not verified evidence
Amazon SageMaker Autopilot is the AutoML capability in Amazon SageMaker AI. It automatically explores data, trains and tunes machine learning models for tabular, text, image and time-series problems, and ranks the candidates, while keeping full visibility and control over the models it produces.
- Public JSON for website embeds
SOFTWARE PRODUCT · Predictive analytics · Analytics & Decision Intelligence
- Sectors
- Not specified
- Deployment
- Not specified
- Capabilities
- Not specified
- Autonomy
- ASSISTIVE
- Data exposure
- Not specified
What the vendor’s website says · supplier-provided, not verified evidence
Amazon SageMaker Canvas is a no-code machine learning workspace in Amazon SageMaker AI. Business analysts can prepare data, build and evaluate ML models, generate predictions and use foundation models through a visual interface, without writing code or needing prior ML experience.
- Public JSON for website embeds
PLATFORM INFRASTRUCTURE · Data preparation · Data & Machine Learning
- Sectors
- Not specified
- Deployment
- SaaS
- Capabilities
- Extraction, Classification
- Autonomy
- ASSISTIVE
- Data exposure
- Not specified
What the vendor’s website says · supplier-provided, not verified evidence
Amazon SageMaker Data Wrangler is a visual data preparation tool in Amazon SageMaker AI. It connects to data sources, profiles data quality, and applies built-in or custom transformations to aggregate and prepare features for machine learning, then exports the workflow into ML pipelines.
- Public JSON for website embeds
PLATFORM INFRASTRUCTURE · Feature stores · Data & Machine Learning
- Sectors
- Not specified
- Deployment
- SaaS, API
- Capabilities
- Not specified
- Autonomy
- ASSISTIVE
- Data exposure
- Not specified
What the vendor’s website says · supplier-provided, not verified evidence
Amazon SageMaker Feature Store is a managed repository for machine learning features in Amazon SageMaker AI. Teams store, update, retrieve and share features for training and real-time inference, with online and offline stores that keep feature definitions consistent across models.
- Public JSON for website embeds
PLATFORM INFRASTRUCTURE · Data labelling · Data & Machine Learning
Secondary: Active learning
- Sectors
- Not specified
- Deployment
- SaaS, API
- Capabilities
- Classification
- Autonomy
- ASSISTIVE
- Data exposure
- Not specified
What the vendor’s website says · supplier-provided, not verified evidence
Amazon SageMaker Ground Truth is the AWS data labelling and human-in-the-loop service for machine learning. It helps build accurate training datasets using automated labelling, an internal workforce, vendors or a managed expert workforce, and supports human feedback for evaluating and tuning generative AI models.
- Public JSON for website embeds
PLATFORM INFRASTRUCTURE · Model training · AI Infrastructure
- Sectors
- Not specified
- Deployment
- Not specified
- Capabilities
- Not specified
- Autonomy
- ASSISTIVE
- Data exposure
- Not specified
What the vendor’s website says · supplier-provided, not verified evidence
Amazon SageMaker HyperPod is purpose-built AWS infrastructure for distributed training and inference of foundation models at scale. It manages large GPU and accelerator clusters, with resiliency features that detect and recover from hardware faults so long training runs keep going.
- Public JSON for website embeds
MODEL API · Data extraction · Documents & Office Productivity
Secondary: OCR, Forms processing
- Sectors
- Not specified
- Deployment
- API
- Capabilities
- OCR, Extraction
- Autonomy
- ASSISTIVE
- Data exposure
- Not specified
What the vendor’s website says · supplier-provided, not verified evidence
Amazon Textract is an AWS machine learning service that uses OCR to extract printed text, handwriting and structured data from scanned documents, PDFs, forms and tables. It also offers specialised analysis for invoices, receipts, identity documents and lending documents, and supports queries over document content.
- Public JSON for website embeds
MODEL API · Speech recognition · Voice, Audio & Music
- Sectors
- Not specified
- Deployment
- Not specified
- Capabilities
- Not specified
- Autonomy
- ASSISTIVE
- Data exposure
- Not specified
What the vendor’s website says · supplier-provided, not verified evidence
Amazon Transcribe is an AWS automatic speech recognition service that lets developers add speech-to-text to applications. It transcribes batch and streaming audio, and supports features such as speaker identification, custom vocabulary, redaction of sensitive data, and call analytics for contact centres.
- Public JSON for website embeds
MODEL API · Translation · Language & Translation
- Sectors
- Not specified
- Deployment
- Not specified
- Capabilities
- Not specified
- Autonomy
- ASSISTIVE
- Data exposure
- Not specified
What the vendor’s website says · supplier-provided, not verified evidence
Amazon Translate is an AWS neural machine translation service that uses deep learning to deliver accurate, natural translation. It translates text and documents in real time or in batch across many languages, with custom terminology and formality controls for localising content and applications.
- Public JSON for website embeds
PLATFORM INFRASTRUCTURE · AutoML · Data & Machine Learning
- Sectors
- Not specified
- Deployment
- Not specified
- Capabilities
- Not specified
- Autonomy
- ASSISTIVE
- Data exposure
- Not specified
What the vendor’s website says · supplier-provided, not verified evidence
AutoGluon is an open-source automated machine learning (AutoML) library, released by AWS under the Apache 2.0 licence, that trains strong predictive models on tables, time series and multimodal data in a few lines of Python. It tries a range of models, from classic ML algorithms to foundation models, and finds the combination that works best for the task. Its main interfaces are TabularPredictor for tabular data, TimeSeriesPredictor for forecasting and MultiModalPredictor for text, image and mixed inputs. AutoGluon supports Python 3.10 to 3.13 on Linux, macOS and Windows, with optional GPU support.
- Public JSON for website embeds
PLATFORM INFRASTRUCTURE · Privacy-enhancing AI · Privacy, Identity & Trust
- Sectors
- Not specified
- Deployment
- Not specified
- Capabilities
- Not specified
- Autonomy
- ASSISTIVE
- Data exposure
- Not specified
What the vendor’s website says · supplier-provided, not verified evidence
AWS Clean Rooms is an AWS analytics service that lets companies and their partners analyse and collaborate on their combined datasets without sharing or copying each other's underlying data. Users can set up a clean room in minutes, invite participants and query data held in AWS or Snowflake without extract, transform and load (zero-ETL). Privacy controls include fine-grained analysis rules, AWS Clean Rooms Differential Privacy, cryptographic computing and analysis logs for auditing. Partners can match and link customer records, run SQL or PySpark, and train and deploy their own ML models on joint data without exposing the model or raw data. Typical uses are advertising and marketing measurement, customer insight, reporting and joint research.
- Public JSON for website embeds
PLATFORM INFRASTRUCTURE · Software testing · Developer & Engineering
- Sectors
- Not specified
- Deployment
- Not specified
- Capabilities
- Not specified
- Autonomy
- ASSISTIVE
- Data exposure
- Not specified
What the vendor’s website says · supplier-provided, not verified evidence
AWS Device Farm is an AWS application testing service for web and mobile apps that runs tests across desktop browsers and real physical iOS and Android devices hosted by AWS, with no test infrastructure to manage. Tests can run concurrently across many devices, and the service records videos, logs and performance data, grouping issues from automated runs. Teams can use the built-in test suite or frameworks such as Appium and Espresso, test manually through remote access, configure location, language and network conditions, and trigger runs from IDEs and CI tools such as Android Studio and Jenkins. A private device lab option reserves devices for exclusive use.
- Public JSON for website embeds
SOFTWARE PRODUCT · AI SRE · Developer & Engineering
- Sectors
- Not specified
- Deployment
- Not specified
- Capabilities
- Not specified
- Autonomy
- ASSISTIVE
- Data exposure
- Not specified
What the vendor’s website says · supplier-provided, not verified evidence
AWS DevOps Agent is an AWS agent for release management and production operations across AWS, multicloud and on-premises environments. Before release it reviews code for release readiness and runs autonomous release testing; after deployment it investigates incidents as soon as alerts arrive, provides root cause analysis and mitigation steps, and recommends improvements to observability, infrastructure, deployment pipelines and resilience. It integrates with Amazon CloudWatch, Dynatrace, Datadog, Grafana, New Relic and Splunk, with GitHub, GitLab and Azure DevOps, and routes findings to Slack, ServiceNow and PagerDuty. It can be extended through A2A and MCP servers to connect custom tools.
- Public JSON for website embeds
PLATFORM INFRASTRUCTURE · IoT AI · Edge AI & Smart Devices
Secondary: Edge inference, Embedded AI
- Sectors
- Not specified
- Deployment
- Not specified
- Capabilities
- Not specified
- Autonomy
- ASSISTIVE
- Data exposure
- Not specified
What the vendor’s website says · supplier-provided, not verified evidence
AWS IoT Greengrass is an open-source edge runtime and AWS cloud service for building, deploying and managing software on IoT devices. Developers assemble device software from prebuilt or custom modular components, deploy and update it remotely across fleets without firmware updates, and run cloud processing and logic locally so devices keep working with intermittent connectivity. Devices can filter and aggregate data locally and send only high-value data to the cloud, and the service supports local ML inference for use cases such as anomaly detection and autonomous devices. AWS discontinued support for Greengrass V1 on 1 June 2026; Greengrass V2 is the current version.
- Public JSON for website embeds
PLATFORM INFRASTRUCTURE · Digital twins · Digital Twins & Simulation
Secondary: IoT AI
- Sectors
- Not specified
- Deployment
- Not specified
- Capabilities
- Not specified
- Autonomy
- ASSISTIVE
- Data exposure
- Not specified
What the vendor’s website says · supplier-provided, not verified evidence
AWS IoT TwinMaker is an AWS service for creating digital twins of real-world systems such as factories, remote facilities and commercial buildings. It connects to existing IoT, video and enterprise application data where it already lives, without re-ingesting it, and automatically generates a knowledge graph that binds those data sources to virtual replicas of physical equipment and spaces. Users can compose immersive 3D scenes of their operations and build dashboards, including with Amazon Managed Grafana. Typical uses include pinpointing equipment and process anomalies on the plant floor, remotely diagnosing equipment in remote sites, and monitoring temperature, occupancy and air quality in buildings.
- Public JSON for website embeds
PLATFORM INFRASTRUCTURE · RAG systems · Search, Research & Knowledge
- Sectors
- Not specified
- Deployment
- Not specified
- Capabilities
- Not specified
- Autonomy
- ASSISTIVE
- Data exposure
- Not specified
What the vendor’s website says · supplier-provided, not verified evidence
Amazon Bedrock Knowledge Bases is a fully managed retrieval-augmented generation (RAG) service in Amazon Bedrock that grounds generative AI applications and agents in a company's own data. It connects to sources including Amazon S3, SharePoint, Confluence, Google Drive, OneDrive and web crawlers, and AWS manages the vector store, embeddings and re-ranking models used at retrieval, while teams that want full control can bring their own vector stores and databases. Parsing handles text, images, audio, video and multiple languages. It works with open-source frameworks such as LangChain, CrewAI, LlamaIndex and Strands Agents, and offers retrieval traces, session memory and Model Context Protocol (MCP) compatibility.
- Public JSON for website embeds
Strands Agents
From their website · not verified evidence
PLATFORM INFRASTRUCTURE · Multi-agent systems · Agents & Automation
- Sectors
- Not specified
- Deployment
- Not specified
- Capabilities
- Not specified
- Autonomy
- ASSISTIVE
- Data exposure
- Not specified
What the vendor’s website says · supplier-provided, not verified evidence
Strands Agents is an open-source toolkit developed by AWS for building production AI agents in Python and TypeScript. It takes a model-driven approach: developers give an agent a model, instructions and tools, and the agent loops through multi-step tasks on its own. The project includes the Strands harness, a fully assembled agent harness; the Strands Harness SDK for building a harness from the ground up; Strands Evals for scoring agent output; and Box, an agent sandbox in preview that enforces policies on shell commands, file access, network requests and MCP calls. It integrates with AWS services such as Amazon Bedrock and Bedrock AgentCore and is used for assistants, research agents and robotics control.
- Public JSON for website embeds
MODEL API · Embedding models · Models & Foundation AI
- Sectors
- Not specified
- Deployment
- Not specified
- Capabilities
- Not specified
- Autonomy
- ASSISTIVE
- Data exposure
- Not specified
What the vendor’s website says · supplier-provided, not verified evidence
Amazon Titan Text Embeddings V2 is Amazon's second-generation text embeddings model, available through Amazon Bedrock. It converts text into vectors for search, retrieval-augmented generation (RAG), clustering and similarity tasks, with configurable output dimensions and improved accuracy for retrieval compared with the first version. AWS lists an 8K-token context window and a launch date of 30 April 2024, and the model is invoked through the bedrock-runtime endpoint using the AWS SDKs.
Verified claims
- Domain associated with this organisation: Yes
- Claim status: UNCLAIMED
- Last verified:
What we have not verified
AI TrustMark has not independently verified supplier-provided marketing claims on this profile, including untested productivity, ROI or performance figures, unless they appear under verified claims or a named certificate. Absence of a claim from the verified list means it has not been evidenced here.
The organisation description above is supplier-provided unless a specific statement is listed as verified.
Products assessed
No assessed products are listed on this profile yet.
Customer experience
No published reviews yet. Review screenshots appear only with a qualifying Verity review; directory thumbnails from a vendor website are not review evidence.
Customer stories
No consented, relationship-verified customer stories yet.
FAQs
What does Amazon Web Services do?
Amazon Web Services is Amazon's cloud division selling compute, storage, Bedrock model hosting and related AI infrastructure. Public pages cover regional cloud services for builders and enterprises. Amazon Web Services publishes Amazon Comprehend PII Detection, Agents for Amazon Bedrock, and AWS Device Farm as named AI products.
What AI services or products does it provide?
Amazon Bedrock, Amazon Bedrock AgentCore, Amazon Bedrock Agents, Amazon Bedrock Guardrails, Amazon Comprehend, Amazon Comprehend PII Detection, Amazon DevOps Guru, Amazon GuardDuty, Amazon Kendra, Amazon Lex, Amazon Neptune, Amazon Nova 2 Sonic, Amazon Nova Act, Amazon Nova Pro, Amazon Personalize, Amazon Polly, Amazon Q Developer, Amazon Quick, Amazon Rekognition, Amazon Rekognition Face Liveness, Amazon S3 Vectors, Amazon SageMaker Autopilot, Amazon SageMaker Canvas, Amazon SageMaker Data Wrangler, Amazon SageMaker Feature Store, Amazon SageMaker Ground Truth, Amazon SageMaker HyperPod, Amazon Textract, Amazon Transcribe, Amazon Translate, AutoGluon, AWS Clean Rooms, AWS Device Farm, AWS DevOps Agent, AWS IoT Greengrass, AWS IoT TwinMaker, Knowledge Bases for Amazon Bedrock, Strands Agents, Titan Text Embeddings V2
Which AI categories does it operate in?
Generative-AI infrastructure, Agent builders, AI agents, Guardrails, Sentiment analysis, PII detection / redaction, AI SRE, Cybersecurity, Enterprise search, Enterprise AI chatbots, Knowledge graphs, Speech models, Computer-use agents, Multimodal models, Recommendation engines, Text-to-speech, Coding assistants, Enterprise copilots, Object detection, Facial recognition, Vector databases, AutoML, Predictive analytics, Data preparation, Feature stores, Data labelling, Model training, Data extraction, Speech recognition, Translation, AutoML, Privacy-enhancing AI, Software testing, AI SRE, IoT AI, Digital twins, RAG systems, Multi-agent systems, Embedding models
Has Amazon Web Services been independently assessed by AI TrustMark?
No independent assessment result is published. Current listing status: Directory listing.
What procurement or assurance information is available?
Company identity, category assignment and any published certificates or assessment summaries appear on this page. Absence of a field means it has not been evidenced here.
Last verified:
Methodology version: See current methodology
Why complete verification
Completing verification can improve the quality of the public evidence available on this supplier profile. Useful verified information can deepen the profile and make public questions about the named product more answerable. It does not buy directory ranking, review stars, a higher Assurance Score, a favourable certificate outcome, or a guaranteed Google ranking.
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