Find and compare the best Artificial Intelligence software for Amazon Web Services (AWS) in 2026
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Use the comparison tool below to compare the top Artificial Intelligence software for Amazon Web Services (AWS) on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
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Anyscale
Anyscale
$0.00006 per minuteAnyscale is a configurable AI platform that unifies tools and infrastructure to accelerate the development, deployment, and scaling of AI and Python applications using Ray. At its core is RayTurbo, an enhanced version of the open-source Ray framework, optimized for faster, more reliable, and cost-effective AI workloads, including large language model inference. The platform integrates smoothly with popular developer environments like VSCode and Jupyter notebooks, allowing seamless code editing, job monitoring, and dependency management. Users can choose from flexible deployment models, including hosted cloud services, on-premises machine pools, or existing Kubernetes clusters, maintaining full control over their infrastructure. Anyscale supports production-grade batch workloads and HTTP services with features such as job queues, automatic retries, Grafana observability dashboards, and high availability. It also emphasizes robust security with user access controls, private data environments, audit logs, and compliance certifications like SOC 2 Type II. Leading companies report faster time-to-market and significant cost savings with Anyscale’s optimized scaling and management capabilities. The platform offers expert support from the original Ray creators, making it a trusted choice for organizations building complex AI systems. -
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Ray
Anyscale
FreeYou can develop on your laptop, then scale the same Python code elastically across hundreds or GPUs on any cloud. Ray converts existing Python concepts into the distributed setting, so any serial application can be easily parallelized with little code changes. With a strong ecosystem distributed libraries, scale compute-heavy machine learning workloads such as model serving, deep learning, and hyperparameter tuning. Scale existing workloads (e.g. Pytorch on Ray is easy to scale by using integrations. Ray Tune and Ray Serve native Ray libraries make it easier to scale the most complex machine learning workloads like hyperparameter tuning, deep learning models training, reinforcement learning, and training deep learning models. In just 10 lines of code, you can get started with distributed hyperparameter tune. Creating distributed apps is hard. Ray is an expert in distributed execution. -
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Pangea
Pangea
$0We are builders on a mission. We're obsessed with building products that make the world a more secure place. Over the course of our careers we've built countless enterprise products at both startups and companies like Splunk, Cisco, Symantec, and McAfee. In every case we had to write security features from scratch. Pangea offers the first Security Platform as a Service (SPaaS) which unifies the fragmented world of security into a simple set of APIs for developers to call directly into their apps. -
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Dagster
Dagster Labs
$0Dagster is the cloud-native open-source orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability. It is the platform of choice data teams responsible for the development, production, and observation of data assets. With Dagster, you can focus on running tasks, or you can identify the key assets you need to create using a declarative approach. Embrace CI/CD best practices from the get-go: build reusable components, spot data quality issues, and flag bugs early. -
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Eden AI
Eden AI
$29/month/ user Eden AI streamlines the utilization and implementation of AI technologies through a unique API, seamlessly linked to top-tier AI engines. We value your time, sparing you the hassle of choosing the ideal AI engine for your project and data. Forget about waiting for weeks to switch your AI engine – with us, it's a matter of seconds, and it's completely free. Our commitment is to secure the most cost-effective provider without compromising performance quality. -
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Elai
Panopto
$23 per monthCraft personalized AI-driven videos featuring a presenter in just minutes, all without the need for a camera, studio, or green screen. Effortlessly turn a blog post into a video with just three clicks. Utilize AI to create a polished video using a link to any article or blog entry. Discover how Elai can enhance your conversion rates, elevate organic traffic, and boost viewer engagement through captivating video content. Give your business the competitive edge it deserves with engaging product videos powered by artificial intelligence. Seamlessly produce training videos in over 60 languages without requiring actors, voiceovers, or extensive post-production work. Easily upload your content to your LMS or LXP. Our platform empowers you to convert articles into video presentations featuring a human presenter in mere moments. Additionally, you can translate your content into more than 65 languages without needing a localization team. Start generating your first AI-powered professional video today and take your business to new heights, unlocking endless possibilities for growth and engagement. -
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Zilliz Cloud
Zilliz
$0Searching and analyzing structured data is easy; however, over 80% of generated data is unstructured, requiring a different approach. Machine learning converts unstructured data into high-dimensional vectors of numerical values, which makes it possible to find patterns or relationships within that data type. Unfortunately, traditional databases were never meant to store vectors or embeddings and can not meet unstructured data's scalability and performance requirements. Zilliz Cloud is a cloud-native vector database that stores, indexes, and searches for billions of embedding vectors to power enterprise-grade similarity search, recommender systems, anomaly detection, and more. Zilliz Cloud, built on the popular open-source vector database Milvus, allows for easy integration with vectorizers from OpenAI, Cohere, HuggingFace, and other popular models. Purpose-built to solve the challenge of managing billions of embeddings, Zilliz Cloud makes it easy to build applications for scale. -
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Weaviate
Weaviate
FreeWeaviate serves as an open-source vector database that empowers users to effectively store data objects and vector embeddings derived from preferred ML models, effortlessly scaling to accommodate billions of such objects. Users can either import their own vectors or utilize the available vectorization modules, enabling them to index vast amounts of data for efficient searching. By integrating various search methods, including both keyword-based and vector-based approaches, Weaviate offers cutting-edge search experiences. Enhancing search outcomes can be achieved by integrating LLM models like GPT-3, which contribute to the development of next-generation search functionalities. Beyond its search capabilities, Weaviate's advanced vector database supports a diverse array of innovative applications. Users can conduct rapid pure vector similarity searches over both raw vectors and data objects, even when applying filters. The flexibility to merge keyword-based search with vector techniques ensures top-tier results while leveraging any generative model in conjunction with their data allows users to perform complex tasks, such as conducting Q&A sessions over the dataset, further expanding the potential of the platform. In essence, Weaviate not only enhances search capabilities but also inspires creativity in app development. -
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Union Cloud
Union.ai
Free (Flyte)Union.ai Benefits: - Accelerated Data Processing & ML: Union.ai significantly speeds up data processing and machine learning. - Built on Trusted Open-Source: Leverages the robust open-source project Flyte™, ensuring a reliable and tested foundation for your ML projects. - Kubernetes Efficiency: Harnesses the power and efficiency of Kubernetes along with enhanced observability and enterprise features. - Optimized Infrastructure: Facilitates easier collaboration among Data and ML teams on optimized infrastructures, boosting project velocity. - Breaks Down Silos: Tackles the challenges of distributed tooling and infrastructure by simplifying work-sharing across teams and environments with reusable tasks, versioned workflows, and an extensible plugin system. - Seamless Multi-Cloud Operations: Navigate the complexities of on-prem, hybrid, or multi-cloud setups with ease, ensuring consistent data handling, secure networking, and smooth service integrations. - Cost Optimization: Keeps a tight rein on your compute costs, tracks usage, and optimizes resource allocation even across distributed providers and instances, ensuring cost-effectiveness. -
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Visual Layer
Visual Layer
$200/month Visual Layer is a production-grade platform built for teams handling image and video datasets at scale. It enables direct interaction with visual data—searching, filtering, labeling, and analyzing—without needing custom scripts or manual sorting. Originally developed by the creators of Fastdup, it extends the same deduplication capabilities into full dataset workflows. Designed to be infrastructure-agnostic, Visual Layer can run entirely on-premise, in the cloud, or embedded via API. It's model-agnostic too, making it useful for debugging, cleaning, or pretraining tasks in any ML pipeline. The system flags anomalies, catch mislabeled frames, and surfaces diverse subsets to improve generalization and reduce noise. It fits into existing pipelines without requiring migration or vendor lock-in, and supports engineers and ops teams alike. -
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Zerve AI
Zerve AI
$0Zerve is the agentic data workspace designed for anyone who works with data, from solo analysts, data scientists and business users alike. Zerve brings together exploration, advanced analysis, collaboration, and production deployment into a single AI-native environment, so that important data work doesn’t stall, break, or disappear. Zerve is used by data professionals in companies such as BBC, QVC, Dun & Bradstreet, Airbus, and many others. Zerve makes advanced data work accessible, durable, and deployable from day one, starting with the messy, real-world data most projects begin with. At the heart of Zerve is a new way for humans and AI agents to work together. Zerve’s AI agents understand the full context of a project and actively help plan, build, debug, and iterate across multi-step analyses. Agents can assist with tasks like cleaning and transforming data, identifying issues, and testing approaches, reducing the manual effort that slows teams down. This means working at a higher level of abstraction without being slowed by setup or syntax. With Zerve, you always have an expert data scientist at your side, guiding decisions, suggesting next steps, and taking action. Unlike traditional data notebooks, workflows in Zerve are reproducible and stable. Users can work across Python, SQL, and R in a single workspace, connect directly to databases, data lakes, and warehouses, and integrate with Git for version control. The built-in distributed computing engine powers massively parallel execution for large-scale analysis, simulations, and AI workloads, with multi-agent orchestration coordinating complex pipelines behind the scenes. Zerve can be used as SaaS, self-hosted, or even on-premise for regulated environments. -
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LangGraph
LangChain
FreeAchieve enhanced precision and control through LangGraph, enabling the creation of agents capable of efficiently managing intricate tasks. The LangGraph Platform facilitates the development and scaling of agent-driven applications. With its adaptable framework, LangGraph accommodates various control mechanisms, including single-agent, multi-agent, hierarchical, and sequential flows, effectively addressing intricate real-world challenges. Reliability is guaranteed by the straightforward integration of moderation and quality loops, which ensure agents remain focused on their objectives. Additionally, LangGraph Platform allows you to create templates for your cognitive architecture, making it simple to configure tools, prompts, and models using LangGraph Platform Assistants. Featuring inherent statefulness, LangGraph agents work in tandem with humans by drafting work for review and awaiting approval prior to executing actions. Users can easily monitor the agent’s decisions, and the "time-travel" feature enables rolling back to revisit and amend previous actions for a more accurate outcome. This flexibility ensures that the agents not only perform tasks effectively but also adapt to changing requirements and feedback. -
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Beam AI
Beam AI
Starting from $49 (Pro Plan)Beam AI stands out as a premier platform focused on agentic process automation, empowering organizations to implement self-learning AI agents that improve operational efficiency and lower expenses. Both Fortune 500 firms and emerging startups leverage Beam AI's agents, which offer task automation that rivals human accuracy and performance, functioning around the clock to reduce mistakes and boost productivity. The platform features an extensive array of pre-trained agents designed for various tasks such as customer service, data extraction, email sorting, appointment scheduling, and financial reporting. Furthermore, Beam AI equips users with tools to develop and tailor AI agents according to specific organizational requirements, ensuring smooth integration with current systems to enhance workflows and elevate business effectiveness. This flexibility and adaptability make Beam AI an invaluable resource for companies looking to innovate and stay competitive in their industries. -
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Workato
Workato
$10,000 per feature per yearWorkato is the operating platform for today's fast-moving businesses. It is the only AI-based middleware platform that allows both IT and business to integrate their apps and automate complex business workflows. Our mission is to help companies automate and integrate their apps and business processes at least 10x faster than traditional tools, and at a tenth the cost of traditional tools. Integration is a mission critical, neutral technology that can be used in heterogeneous IT environments. We are the only technology vendor that is supported by all three of the leading SaaS vendors: Salesforce. Workday. And ServiceNow. We are trusted by the world's most recognizable brands and the fastest-growing innovators. Customers consider us to be one of the best companies to do business. -
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Lettria
Lettria
€600 per monthLettria presents a robust AI solution called GraphRAG, aimed at improving the precision and dependability of generative AI applications. By integrating the advantages of knowledge graphs with vector-based AI models, Lettria enables organizations to derive accurate answers from intricate and unstructured data sources. This platform aids in streamlining various processes such as document parsing, data model enhancement, and text classification, making it particularly beneficial for sectors including healthcare, finance, and legal. Furthermore, Lettria’s AI offerings effectively mitigate the occurrences of hallucinations in AI responses, fostering transparency and confidence in the results produced by AI systems. The innovative design of GraphRAG also allows businesses to leverage their data more effectively, paving the way for informed decision-making and strategic insights. -
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Auger.AI
Auger.AI
$200 per monthAuger.AI delivers the most comprehensive solution for maintaining the accuracy of machine learning models. Our MLRAM tool (Machine Learning Review and Monitoring) guarantees that your models maintain their accuracy over time. It even assesses the return on investment for your predictive models! MLRAM is compatible with any machine learning technology stack. If your ML system lifecycle lacks ongoing measurement of model accuracy, you could be forfeiting profits due to erroneous predictions. Additionally, frequently retraining models can be costly and may not resolve issues caused by concept drift. MLRAM offers significant benefits for both data scientists and business professionals, featuring tools such as accuracy visualization graphs, performance and accuracy notifications, anomaly detection, and automated optimized retraining. Integrating your predictive model with MLRAM requires just a single line of code, making the process seamless. We also provide a complimentary one-month trial of MLRAM for eligible users. Ultimately, Auger.AI stands out as the most precise AutoML platform available, ensuring that your machine learning initiatives are both effective and efficient. -
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Hopsworks
Logical Clocks
$1 per monthHopsworks is a comprehensive open-source platform designed to facilitate the creation and management of scalable Machine Learning (ML) pipelines, featuring the industry's pioneering Feature Store for ML. Users can effortlessly transition from data analysis and model creation in Python, utilizing Jupyter notebooks and conda, to executing robust, production-ready ML pipelines without needing to acquire knowledge about managing a Kubernetes cluster. The platform is capable of ingesting data from a variety of sources, whether they reside in the cloud, on-premise, within IoT networks, or stem from your Industry 4.0 initiatives. You have the flexibility to deploy Hopsworks either on your own infrastructure or via your chosen cloud provider, ensuring a consistent user experience regardless of the deployment environment, be it in the cloud or a highly secure air-gapped setup. Moreover, Hopsworks allows you to customize alerts for various events triggered throughout the ingestion process, enhancing your workflow efficiency. This makes it an ideal choice for teams looking to streamline their ML operations while maintaining control over their data environments. -
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Amazon SageMaker
Amazon
Amazon SageMaker is a comprehensive machine learning platform that integrates powerful tools for model building, training, and deployment in one cohesive environment. It combines data processing, AI model development, and collaboration features, allowing teams to streamline the development of custom AI applications. With SageMaker, users can easily access data stored across Amazon S3 data lakes and Amazon Redshift data warehouses, facilitating faster insights and AI model development. It also supports generative AI use cases, enabling users to develop and scale applications with cutting-edge AI technologies. The platform’s governance and security features ensure that data and models are handled with precision and compliance throughout the entire ML lifecycle. Furthermore, SageMaker provides a unified development studio for real-time collaboration, speeding up data discovery and model deployment. -
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Diffgram Data Labeling
Diffgram
FreeYour AI Data Platform High Quality Training Data for Enterprise Data Labeling Software for Machine Learning Your Kubernetes Cluster up to 3 users is free TRUSTED BY 5,000 HAPPY UBERS WORLDWIDE Images, Video, and Text Spatial Tools Quadratic Curves and Cuboids, Segmentation Box, Polygons and Lines, Keypoints, Classification tags, and More You can use the exact spatial tool that you need. All tools are easy-to-use, editable, and offer powerful ways to present your data. All tools are available as Video. Attribute Tools More Meaning. More freedom through: Radio buttons Multiple selection. Date pickers. Sliders. Conditional logic. Directional vectors. Plus, many more! Complex knowledge can be captured and encoded into your AI. Streaming Data Automation Manual labeling can be up to 10x faster than automated labeling -
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Modzy
Modzy
$3.79 per hourEffortlessly deploy, oversee, monitor, and safeguard AI models within a production environment. Modzy serves as the Enterprise AI platform specifically crafted to facilitate the scaling of reliable AI across your organization. Leverage Modzy to boost the deployment, oversight, and governance of dependable AI by harnessing features tailored for enterprise needs, including robust security, APIs, and SDKs that support unlimited model deployment and management at scale. You have the flexibility to choose your deployment method—whether it be on your own hardware, in a private cloud, or on a public cloud, with options for AirGap deployments and tactical edge solutions. Governance and auditing capabilities ensure centralized AI management, providing you with continuous visibility into the AI models operating in production in real-time. Additionally, the platform offers the world’s fastest Explainability (beta) feature for deep neural networks, generating audit logs to clarify model predictions. Coupled with advanced security features designed to prevent data poisoning, Modzy includes a comprehensive suite of patented Adversarial Defense technology to protect models in active production, ensuring your AI operations are both effective and secure. This combination of tools and features positions Modzy as a leader in the enterprise AI landscape, enabling organizations to maximize the potential of their AI investments while maintaining strict oversight and security. -
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Sapling AI Writing Assistant
Sapling Intelligence
$25 per monthAI assistant for customer-facing departments. Sapling works with messaging platforms and CRMs to assist agents in creating personalized responses. Managers can gain conversational insights that will help them coach and prepare their teams. Sapling offers functionality for autocomplete, spelling, grammar checking, as well as snippets/canned message/text expander. All services can be hosted on-premise or in the cloud to meet security and privacy requirements. The Grammar and Spelling APIs allow Sapling's language models to be integrated into custom applications and use-cases. Sapling Suggest pulls relevant answers from a team knowledge database and allows agents to respond faster to customer inquiries by clicking on the desired response. Instead of giving brittle, decision tree-based chatbots, empower agents. -
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Faros AI
Faros AI
Faros AI combines all your operational data from multiple sources and enhances them with machine learning signals. The Faros AI Engineering Operations Platform allows you to harness this data so you can accelerate productivity, and better manager your engineering operations. With Faros AI, engineering leaders can scale their operations in a more data-informed way — using data to identify bottlenecks, measure progress towards organizational goals, better support teams with the right resources, and accurately assess the impact of interventions over time. DORA Metrics come standard in Faros AI, and the platform is extensible to allow organizations to build their own custom dashboards and metrics so they can get deep insights into their engineering operations and take intelligent action in a data-driven manner. Leading organizations including Box, Coursera, GoFundMe, Astronomer, Salesforce, etc. trust Faros AI as their engops platform of choice. -
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DeepSource
DeepSource
$24/user/ month DeepSource is a modern AI-driven code review and code quality platform built to help engineering teams deliver secure and maintainable software. The platform combines deterministic static analysis with intelligent AI agents to automatically review code changes across repositories. Developers can integrate DeepSource with popular version control systems such as GitHub, GitLab, Bitbucket, and Azure DevOps to analyze pull requests as they are created. During each review, the system scans code for potential bugs, security vulnerabilities, performance issues, and architectural problems. It provides inline feedback directly inside pull requests, allowing developers to resolve issues before merging code into production. DeepSource also offers automated patch suggestions through its Autofix feature, helping teams fix problems faster without interrupting development workflows. Security-focused capabilities include secrets detection, open-source dependency vulnerability scanning, and infrastructure-as-code configuration analysis. The platform tracks code coverage to highlight untested areas and ensures teams maintain testing standards before releasing updates. Compliance reporting aligned with major security frameworks helps organizations stay audit-ready. With automated insights and actionable feedback, DeepSource helps development teams improve code quality while accelerating software delivery. -
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SYSTRAN
SYSTRAN
$15/month SYSTRAN has been a market leader in language translation products and solutions for more than 50 years. It covers all platforms, from desktop computers to the Internet to enterprise servers. SYSTRAN provides real-time language solutions to improve multilingual communication and productivity in organizations. SYSTRAN can facilitate communication in more than 130 languages, making it the preferred choice for global companies like Symantec, Cisco and Airbus, as well as Defense and Security organizations such the US Intelligence Community and Language Service Providers. SYSTRAN is also an official translation solution provider for the S-Translator app, which is embedded on the Samsung Galaxy S and Note Series. SYSTRAN was the first to market with a hybrid machine translation engine. -
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Ona
Ona
$20/month Ona, the evolution of Gitpod, is built to help teams move beyond traditional IDEs by serving as a central hub for modern software engineering. Its sandboxed environments run with full OS-level isolation, giving developers secure and consistent setups whether hosted in the cloud or on private infrastructure. With Ona Agents, teams can automate repetitive tasks, accelerate handoffs, parallelize work, and receive real-time support across scoping, coding, reviewing, and documentation. The platform ensures that developers can seamlessly switch between agent conversations, browser-based VS Code Web, or desktop IDEs without losing productivity. Enterprise-level guardrails reinforce compliance by offering detailed audit trails, network controls, and fine-grained organizational policies. Ona is already trusted by global enterprises in industries like banking and pharmaceuticals, highlighting its reliability at scale. Integrations with GitHub, GitLab, Redis, MongoDB, and AWS make it easy to connect existing workflows without disruption. With SOC 2 certification, GDPR compliance, and WCAGAA accessibility standards, Ona sets the standard for secure and inclusive developer productivity.
