Find and compare the best Artificial Intelligence software for AWS Marketplace in 2026
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Use the comparison tool below to compare the top Artificial Intelligence software for AWS Marketplace on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
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ServisBOT
ServisBOT
ServisBOT is a Conversational AI platform that allows businesses to create chatbots that automate key customer interactions and employee interactions across multiple digital channels. The platform offers low-code tools that allow businesses to create exceptional customer experiences. It can also integrate securely with data from different business systems. Integration with live chat is possible for agent assistance and human handover. Multi-bot orchestration architecture allows for easier building and managing complex conversational AI solutions. It also makes it possible to orchestrate multiple bots on different NLP engines. The platform was designed to assist business people in creating solutions that meet their specific needs. IT can also have more control over the solutions as they grow. -
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Privacera
Privacera
Multi-cloud data security with a single pane of glass Industry's first SaaS access governance solution. Cloud is fragmented and data is scattered across different systems. Sensitive data is difficult to access and control due to limited visibility. Complex data onboarding hinders data scientist productivity. Data governance across services can be manual and fragmented. It can be time-consuming to securely move data to the cloud. Maximize visibility and assess the risk of sensitive data distributed across multiple cloud service providers. One system that enables you to manage multiple cloud services' data policies in a single place. Support RTBF, GDPR and other compliance requests across multiple cloud service providers. Securely move data to the cloud and enable Apache Ranger compliance policies. It is easier and quicker to transform sensitive data across multiple cloud databases and analytical platforms using one integrated system. -
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NeoPulse
AI Dynamics
The NeoPulse Product Suite offers a comprehensive solution for businesses aiming to develop tailored AI applications utilizing their own selected data. It features a robust server application equipped with a powerful AI known as “the oracle,” which streamlines the creation of advanced AI models through automation. This suite not only oversees your AI infrastructure but also coordinates workflows to facilitate AI generation tasks seamlessly. Moreover, it comes with a licensing program that empowers any enterprise application to interact with the AI model via a web-based (REST) API. NeoPulse stands as a fully automated AI platform that supports organizations in training, deploying, and managing AI solutions across diverse environments and at scale. In essence, NeoPulse can efficiently manage each stage of the AI engineering process, including design, training, deployment, management, and eventual retirement, ensuring a holistic approach to AI development. Consequently, this platform significantly enhances the productivity and effectiveness of AI initiatives within an organization. -
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PyTorch
PyTorch
Effortlessly switch between eager and graph modes using TorchScript, while accelerating your journey to production with TorchServe. The torch-distributed backend facilitates scalable distributed training and enhances performance optimization for both research and production environments. A comprehensive suite of tools and libraries enriches the PyTorch ecosystem, supporting development across fields like computer vision and natural language processing. Additionally, PyTorch is compatible with major cloud platforms, simplifying development processes and enabling seamless scaling. You can easily choose your preferences and execute the installation command. The stable version signifies the most recently tested and endorsed iteration of PyTorch, which is typically adequate for a broad range of users. For those seeking the cutting-edge, a preview is offered, featuring the latest nightly builds of version 1.10, although these may not be fully tested or supported. It is crucial to verify that you meet all prerequisites, such as having numpy installed, based on your selected package manager. Anaconda is highly recommended as the package manager of choice, as it effectively installs all necessary dependencies, ensuring a smooth installation experience for users. This comprehensive approach not only enhances productivity but also ensures a robust foundation for development. -
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MXNet
The Apache Software Foundation
A hybrid front-end efficiently switches between Gluon eager imperative mode and symbolic mode, offering both adaptability and speed. The framework supports scalable distributed training and enhances performance optimization for both research and real-world applications through its dual parameter server and Horovod integration. It features deep compatibility with Python and extends support to languages such as Scala, Julia, Clojure, Java, C++, R, and Perl. A rich ecosystem of tools and libraries bolsters MXNet, facilitating a variety of use-cases, including computer vision, natural language processing, time series analysis, and much more. Apache MXNet is currently in the incubation phase at The Apache Software Foundation (ASF), backed by the Apache Incubator. This incubation stage is mandatory for all newly accepted projects until they receive further evaluation to ensure that their infrastructure, communication practices, and decision-making processes align with those of other successful ASF initiatives. By engaging with the MXNet scientific community, individuals can actively contribute, gain knowledge, and find solutions to their inquiries. This collaborative environment fosters innovation and growth, making it an exciting time to be involved with MXNet. -
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ElectrifAi
ElectrifAi
Achieving commercial value in just weeks, ElectrifAi effectively addresses high-value use cases across various industries. With the most extensive collection of pre-built machine learning models available, our solutions integrate effortlessly into your current workflows, yielding swift and dependable outcomes. You can benefit from our specialized knowledge through pre-trained, pre-structured, or entirely new models tailored to your needs. Developing machine learning systems can be fraught with challenges and take considerable time, but ElectrifAi offers a superior approach by delivering over 1,000 ready-to-deploy models that integrate smoothly into existing processes. Our capabilities extend to deploying proven machine learning models quickly, ensuring that you receive solutions without delay. We handle the creation of machine learning models, the data ingestion process, and the necessary data cleansing. Our team of domain experts collaborates with your existing data to train the most suitable model for your specific use case, ensuring optimal performance and efficiency. By leveraging our expertise, you can unlock the full potential of your data and turn insights into actionable strategies. -
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NVIDIA CloudXR
NVIDIA Omniverse
Businesses are increasingly adopting augmented reality (AR) and virtual reality (VR) technologies to enhance their design evaluations, support virtual production, and create immersive location-based entertainment experiences. A key player in this transformation is NVIDIA CloudXR™, an advanced solution that leverages NVIDIA RTX™ technology to provide VR and AR capabilities over 5G and Wi-Fi networks. This innovative platform ensures scalability across both data center and edge networks, thanks to the NVIDIA RTX Virtual Workstation software. Moreover, the CloudXR SDK includes an installer for server components along with open-source client applications, enabling seamless streaming of extended reality (XR) content from OpenVR applications to various Android and Windows devices. As enterprises continue to explore the possibilities of XR, the integration of such technologies is likely to reshape industries and redefine user experiences. -
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AWS Deep Learning AMIs
Amazon
AWS Deep Learning AMIs (DLAMI) offer machine learning professionals and researchers a secure and curated collection of frameworks, tools, and dependencies to enhance deep learning capabilities in cloud environments. Designed for both Amazon Linux and Ubuntu, these Amazon Machine Images (AMIs) are pre-equipped with popular frameworks like TensorFlow, PyTorch, Apache MXNet, Chainer, Microsoft Cognitive Toolkit (CNTK), Gluon, Horovod, and Keras, enabling quick deployment and efficient operation of these tools at scale. By utilizing these resources, you can create sophisticated machine learning models for the development of autonomous vehicle (AV) technology, thoroughly validating your models with millions of virtual tests. The setup and configuration process for AWS instances is expedited, facilitating faster experimentation and assessment through access to the latest frameworks and libraries, including Hugging Face Transformers. Furthermore, the incorporation of advanced analytics, machine learning, and deep learning techniques allows for the discovery of trends and the generation of predictions from scattered and raw health data, ultimately leading to more informed decision-making. This comprehensive ecosystem not only fosters innovation but also enhances operational efficiency across various applications. -
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NVIDIA Clara
NVIDIA
Clara provides specialized tools and pre-trained AI models that are driving significant advancements across various sectors, such as healthcare technologies, medical imaging, pharmaceutical development, and genomic research. Delve into the comprehensive process of developing and implementing medical devices through the Holoscan platform. Create containerized AI applications using the Holoscan SDK in conjunction with MONAI, and enhance deployment efficiency in next-gen AI devices utilizing the NVIDIA IGX developer kits. Moreover, the NVIDIA Holoscan SDK is equipped with acceleration libraries tailored for healthcare, alongside pre-trained AI models and sample applications designed for computational medical devices. This combination of resources fosters innovation and efficiency, positioning developers to tackle complex challenges in the medical field. -
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Cognosys
Cognosys
$15 per monthCognosys operates by producing a series of tasks aimed at achieving specific objectives. This versatile tool can assist in coding, file creation, trend analysis, and various other functions. Additionally, it offers the capability to streamline repetitive tasks by programming assistants to execute them at a future date. An assistant consists of a compilation of tasks designed to meet a particular goal, making it a valuable resource for automating workflows. By utilizing such assistants, users can significantly enhance productivity and efficiency in their daily operations. -
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Vanti
Vanti
Vanti’s manufacturing analytics stands out as a powerful tool for modern plant professionals. It integrates data from various manufacturing sources, resulting in an automated and user-friendly platform for generating manufacturing insights. By leveraging sophisticated natural language processing, Vanti translates intricate production patterns into straightforward insights that users can act upon. This approach streamlines the data exploration process, making it feel as effortless as having a chat. Users can engage with their data using simple, conversational queries, which enhances the overall experience. In addition, the platform automatically produces detailed visual representations like charts and highlights, enriching the understanding of the data. All of these features are seamlessly integrated into an easy-to-navigate user interface, ensuring that it remains accessible to individuals regardless of their technical background. With Vanti’s advanced analytics, manufacturing professionals can achieve a thorough comprehension of plant operations, ultimately leading to improved decision-making and productivity. This holistic understanding can significantly contribute to the optimization of manufacturing processes. -
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Tumeryk
Tumeryk
Tumeryk Inc. focuses on cutting-edge security solutions for generative AI, providing tools such as the AI Trust Score that facilitates real-time monitoring, risk assessment, and regulatory compliance. Our innovative platform enables businesses to safeguard their AI systems, ensuring that deployments are not only reliable and trustworthy but also adhere to established policies. The AI Trust Score assesses the potential risks of utilizing generative AI technologies, which aids organizations in complying with important regulations like the EU AI Act, ISO 42001, and NIST RMF 600.1. This score evaluates the dependability of responses generated by AI, considering various risks such as bias, susceptibility to jailbreak exploits, irrelevance, harmful content, potential leaks of Personally Identifiable Information (PII), and instances of hallucination. Additionally, it can be seamlessly incorporated into existing business workflows, enabling companies to make informed decisions on whether to accept, flag, or reject AI-generated content, thereby helping to reduce the risks tied to such technologies. By implementing this score, organizations can foster a safer environment for AI deployment, ultimately enhancing public trust in automated systems. -
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UIB
UIB
UIB is a pioneering company that leverages artificial intelligence and prioritizes API functionality to enhance communication between humans and machines, striving to make these interactions as intuitive as those between people. Their innovative platform integrates a wide array of communication channels, AI technologies, and various connectors, including SaaS and IoT APIs, creating an endlessly scalable solution that simplifies the process of launching products. Among UIB's key offerings is the UnificationEngine, which serves as an omnichannel Messaging Service Platform (MSP) that allows users to access diverse communication services through a single, cohesive API equipped with over 50 connectors. Additionally, UIB provides Unified AI, a customizable chatbot creation tool and virtual assistant framework that facilitates content management and conversation insights across multiple languages and media formats. Furthermore, the H2X Exchange acts as a marketplace for cloud connectors, robotic process automation, and IoT integrations, fostering comprehensive interactions across all conversational user interfaces, ultimately enhancing user experience and engagement. Together, these innovations position UIB as a leader in the space of seamless human-machine communication. -
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Max.AI
ZS
Max.AI, a low-code/no-code platform created by ZS, empowers users to develop autonomous AI agents on a large scale. Its cloud-agnostic design provides enterprise-level development tools and a variety of pre-built use cases, significantly improving responsiveness to varying business requirements. By merging fine-tuned large language models with traditional machine learning techniques and proprietary datasets, Max.AI allows for the swift creation and implementation of specialized generative AI applications. Accessible through the AWS and Azure marketplaces, Max.AI can seamlessly integrate into client environments, promoting both flexibility and scalability. Key technological advancements include support for hybrid cloud environments, a model-agnostic architecture, and a dynamic, software-defined analytics framework, all designed to expedite the development and deployment of AI solutions across numerous sectors. This platform ultimately aims to simplify the process of harnessing AI capabilities for organizations of all sizes. -
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Claude for Life Sciences
Anthropic
Claude for Life Sciences is an AI-driven research platform created by Anthropic, specifically designed to enhance workflows in the life sciences sector, including areas like drug discovery, experimental design, and regulatory documentation. This innovative solution merges Claude’s advanced language model capabilities with essential research environments and data sources, establishing connections with platforms such as laboratory information systems, genomic analysis tools, and biomedical databases. This integration allows scientists to progress effortlessly from formulating hypotheses to interpreting data and producing publication-ready documents. Moreover, the system features specialized “skills” and connectors tailored for life sciences applications; for instance, it includes a skill for quality control in single-cell RNA sequencing and integrates with spatial biology toolchains, facilitating meaningful interactions with analytical workflows instead of merely handling raw prompts. By incorporating itself into existing processes, the platform demonstrates performance that surpasses human baseline standards in protocol comprehension tasks and accommodates natural-language inquiries, significantly improving overall research efficiency. This advancement not only streamlines complex scientific tasks but also empowers researchers to focus on innovation and discovery. -
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AWS Deep Learning Containers
Amazon
Deep Learning Containers consist of Docker images that come preloaded and verified with the latest editions of well-known deep learning frameworks. They enable the rapid deployment of tailored machine learning environments, eliminating the need to create and refine these setups from the beginning. You can establish deep learning environments in just a few minutes by utilizing these ready-to-use and thoroughly tested Docker images. Furthermore, you can develop personalized machine learning workflows for tasks such as training, validation, and deployment through seamless integration with services like Amazon SageMaker, Amazon EKS, and Amazon ECS, enhancing efficiency in your projects. This capability streamlines the process, allowing data scientists and developers to focus more on their models rather than environment configuration. -
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NLX
NLX
Craft exceptional multimodal, voice, and chat interactions at the speed of thought through a platform that is both user-friendly and elegantly designed. Leverage the same bot across multiple chat and voice channels while customizing the content to suit each specific medium. Remove uncertainty and enhance your confidence with comprehensive analytics and alerting features. Implement bots across chat, voice, and our unique multimodal technology to provide unparalleled customer experiences. Conversations by NLX serves as a complete no-code solution for creating, managing, and analyzing all customer interactions from a single, centralized hub. This platform empowers brands to design tailored voice, chat, and multimodal engagements seamlessly within one location. Additionally, with integrated reporting and analytics, teams can refine conversations based on immediate qualitative and quantitative feedback from customers, thereby continuously enhancing the overall customer journey. By centralizing these capabilities, brands can ensure that they remain agile and responsive to customer needs. -
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Carmen Cloud
Adaptive Recognition
Carmen® Cloud is an innovative cloud-based solution for Automatic Number Plate Recognition (ANPR) that utilizes cutting-edge machine learning techniques to accurately identify license plates, as well as the make, model, and color of vehicles in more than 200 nations. The system's algorithms are designed to be dynamic, allowing them to continuously evolve and maintain dependable performance even in challenging environments. With the convenience of a single API call, it enables easy access to ANPR, Make and Model Recognition (MMR), and Hazard Identification Number Recognition (ADR), facilitating quick implementation in various contexts such as traffic surveillance, parking systems, and security measures. Carmen® Cloud's robust and scalable architecture can handle varying operational demands, ensuring rapid insights without any delays or bottlenecks. The solution's worldwide applicability and flexible deployment options make it an ideal choice for organizations that require reliable and precise vehicle recognition solutions, ultimately enhancing their operational efficiency and security measures. Furthermore, its adaptability to different scenarios underscores its significance in modern vehicle management systems.
