Find and compare the best Artificial Intelligence software for Amazon Web Services (AWS) in 2025
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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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UnionML
Union
Developing machine learning applications should be effortless and seamless. UnionML is an open-source framework in Python that enhances Flyte™, streamlining the intricate landscape of ML tools into a cohesive interface. You can integrate your favorite tools with a straightforward, standardized API, allowing you to reduce the amount of boilerplate code you write and concentrate on what truly matters: the data and the models that derive insights from it. This framework facilitates the integration of a diverse array of tools and frameworks into a unified protocol for machine learning. By employing industry-standard techniques, you can create endpoints for data retrieval, model training, prediction serving, and more—all within a single comprehensive ML stack. As a result, data scientists, ML engineers, and MLOps professionals can collaborate effectively using UnionML apps, establishing a definitive reference point for understanding the behavior of your machine learning system. This collaborative approach fosters innovation and streamlines communication among team members, ultimately enhancing the overall efficiency and effectiveness of ML projects. -
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Worlds
Worlds
Introducing a groundbreaking 4D Infrastructure designed to shape the industrial metaverse, this platform enables large-scale industrial enterprises to measure, analyze, and seamlessly integrate AI-driven automation into their foundational operations. By creating live digital replicas of actual processes, we capture ground-level activities and convert them into real-time data streams. Our advanced AI technology then discerns critical variances that lead to inefficiencies, reduced output, and unsafe working conditions, all in an instant. This empowers clients to rethink and automate their workflows, tapping into previously unrecognized value. Utilizing contextual insights, our sensors work in tandem to validate and enhance the reliability of collected data, revealing the true dynamics of personnel and operations. The journey begins with the automatic integration of data from 3D models and 2D layouts, allowing us to accurately map out the physical environment, including the positioning and functionalities of all existing sensors within the facility, ensuring a comprehensive understanding of the operational landscape. This innovative approach not only streamlines processes but also fosters a culture of continuous improvement and operational excellence. -
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Lumeus
Lumeus
Automate the detection of anomalies to comply with service level agreements while overseeing the entire network landscape. Enhance digital experiences by modernizing security protocols, utilizing an agentless, AI-driven strategy that takes advantage of your current infrastructure. Implement a least privilege access policy and establish identity-based protections that encompass applications, devices, and the overall infrastructure. Receive immediate alerts for any escalations and review comprehensive session activities and details through integrated logging systems. Facilitate device fingerprinting to achieve valuable insights into network topology, while ensuring smooth integration with existing infrastructure. Streamline connectivity and governance from campus environments to cloud services. With Lumeus, organizations can harness AI to monitor and identify escalations, segment traffic to thwart lateral movement, and enhance user access security through the implementation of multi-factor authentication and zero trust principles, all managed from a single, coherent platform. Additionally, Lumeus provides a cloud management portal that connects seamlessly to your infrastructure via API, allowing for enhanced oversight and control. This holistic approach enables organizations to respond proactively to threats and optimize their security posture effectively. -
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Granica
Granica
The Granica AI efficiency platform significantly lowers the expenses associated with storing and accessing data while ensuring its privacy, thus facilitating its use for training purposes. Designed with developers in mind, Granica operates on a petabyte scale and is natively compatible with AWS and GCP. It enhances the effectiveness of AI pipelines while maintaining privacy and boosting performance. Efficiency has become an essential layer within the AI infrastructure. Using innovative compression algorithms for byte-granular data reduction, it can minimize storage and transfer costs in Amazon S3 and Google Cloud Storage by as much as 80%, alongside reducing API expenses by up to 90%. Users can conduct an estimation in just 30 minutes within their cloud environment, utilizing a read-only sample of their S3 or GCS data, without the need for budget allocation or total cost of ownership assessments. Granica seamlessly integrates into your existing environment and VPC, adhering to all established security protocols. It accommodates a diverse array of data types suitable for AI, machine learning, and analytics, offering both lossy and fully lossless compression options. Furthermore, it has the capability to identify and safeguard sensitive data even before it is stored in your cloud object repository, ensuring compliance and security from the outset. This comprehensive approach not only streamlines operations but also fortifies data protection throughout the entire process. -
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Wherobots
Wherobots
Wherobots provides a seamless way for users to create, test, and implement geospatial data analytics and AI pipelines directly within their current data ecosystem, with the option for cloud deployment. This solution alleviates concerns regarding resource management, scalability of workloads, and the complexities of geospatial processing and optimization. By linking your Wherobots account to the cloud database housing your data via our user-friendly SaaS web interface, you can efficiently build your geospatial data science, machine learning, or analytics applications using the Sedona Developer Tool. You can also automate the deployment of your geospatial pipeline to the cloud data platform while monitoring its performance through Wherobots. The results of your geospatial analytics tasks can be accessed in various ways, such as through a single geospatial map visualization or via API calls, ensuring flexibility in how insights are utilized. This comprehensive approach makes geospatial analytics more accessible and manageable for users at all levels of expertise. -
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HCL IntelliService is a cutting-edge platform that utilizes AI to enhance service delivery, ultimately turning customer service into a pathway for customer success. It comes equipped with several pre-built connectors that facilitate data integration from various sources, including customer relationship management systems, sales force automation tools, and enterprise service management applications, all within multi/hybrid cloud environments. By employing state-of-the-art technologies like cognitive search, conversational AI, and workflow automation, the platform significantly elevates the customer experience while also equipping service agents with advanced tools and analytics designed to expedite resolution times. With HCL, businesses can harness the power of an AI-enhanced productivity platform, leading to a decrease in the volume of customer support calls and a faster turnaround in resolving service requests throughout the customer service lifecycle. This innovative approach not only streamlines operations but also fosters a more engaged and satisfied customer base.
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dstack
dstack
It enhances the efficiency of both development and deployment processes, cuts down on cloud expenses, and liberates users from being tied to a specific vendor. You can set up the required hardware resources, including GPU and memory, and choose between spot instances or on-demand options. dstack streamlines the entire process by automatically provisioning cloud resources, retrieving your code, and ensuring secure access through port forwarding. You can conveniently utilize your local desktop IDE to access the cloud development environment. Specify the hardware configurations you need, such as GPU and memory, while indicating your preference for instance types. dstack handles resource provisioning and port forwarding automatically for a seamless experience. You can pre-train and fine-tune advanced models easily and affordably in any cloud infrastructure. With dstack, cloud resources are provisioned based on your specifications, allowing you to access data and manage output artifacts using either declarative configuration or the Python SDK, thus simplifying the entire workflow. This flexibility significantly enhances productivity and reduces overhead in cloud-based projects. -
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Vaex
Vaex
At Vaex.io, our mission is to make big data accessible to everyone, regardless of the machine or scale they are using. By reducing development time by 80%, we transform prototypes directly into solutions. Our platform allows for the creation of automated pipelines for any model, significantly empowering data scientists in their work. With our technology, any standard laptop can function as a powerful big data tool, eliminating the need for clusters or specialized engineers. We deliver dependable and swift data-driven solutions that stand out in the market. Our cutting-edge technology enables the rapid building and deployment of machine learning models, outpacing competitors. We also facilitate the transformation of your data scientists into proficient big data engineers through extensive employee training, ensuring that you maximize the benefits of our solutions. Our system utilizes memory mapping, an advanced expression framework, and efficient out-of-core algorithms, enabling users to visualize and analyze extensive datasets while constructing machine learning models on a single machine. This holistic approach not only enhances productivity but also fosters innovation within your organization. -
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AWS Neuron
Amazon Web Services
It enables efficient training on Amazon Elastic Compute Cloud (Amazon EC2) Trn1 instances powered by AWS Trainium. Additionally, for model deployment, it facilitates both high-performance and low-latency inference utilizing AWS Inferentia-based Amazon EC2 Inf1 instances along with AWS Inferentia2-based Amazon EC2 Inf2 instances. With the Neuron SDK, users can leverage widely-used frameworks like TensorFlow and PyTorch to effectively train and deploy machine learning (ML) models on Amazon EC2 Trn1, Inf1, and Inf2 instances with minimal alterations to their code and no reliance on vendor-specific tools. The integration of the AWS Neuron SDK with these frameworks allows for seamless continuation of existing workflows, requiring only minor code adjustments to get started. For those involved in distributed model training, the Neuron SDK also accommodates libraries such as Megatron-LM and PyTorch Fully Sharded Data Parallel (FSDP), enhancing its versatility and scalability for various ML tasks. By providing robust support for these frameworks and libraries, it significantly streamlines the process of developing and deploying advanced machine learning solutions. -
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Cerbrec Graphbook
Cerbrec
Create your model in real-time as an interactive graph, enabling you to observe the data traversing through the visualized structure of your model. You can also modify the architecture at its most fundamental level. Graphbook offers complete transparency without hidden complexities, allowing you to see everything clearly. It performs live checks on data types and shapes, providing clear and comprehensible error messages that facilitate quick and efficient debugging. By eliminating the need to manage software dependencies and environmental setups, Graphbook enables you to concentrate on the architecture of your model and the flow of data while providing the essential computing resources. Cerbrec Graphbook serves as a visual integrated development environment (IDE) for AI modeling, simplifying what can often be a tedious development process into a more approachable experience. With an expanding community of machine learning practitioners and data scientists, Graphbook supports developers in fine-tuning language models like BERT and GPT, whether working with text or tabular data. Everything is seamlessly managed from the start, allowing you to visualize your model's behavior just as it will operate in practice, ensuring a smoother development journey. Additionally, the platform promotes collaboration by allowing users to share insights and techniques within the community. -
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SynapseAI
Habana Labs
Our accelerator hardware is specifically crafted to enhance the performance and efficiency of deep learning, while prioritizing usability for developers. SynapseAI aims to streamline the development process by providing support for widely-used frameworks and models, allowing developers to work with the tools they are familiar with and prefer. Essentially, SynapseAI and its extensive array of tools are tailored to support deep learning developers in their unique workflows, empowering them to create projects that align with their preferences and requirements. Additionally, Habana-based deep learning processors not only safeguard existing software investments but also simplify the process of developing new models, catering to both the training and deployment needs of an ever-expanding array of models that shape the landscape of deep learning, generative AI, and large language models. This commitment to adaptability and support ensures that developers can thrive in a rapidly evolving technological environment. -
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baioniq
Quantiphi
Generative AI and Large Language Models (LLMs) offer an exciting opportunity to harness the hidden potential of unstructured data, enabling businesses to gain immediate access to crucial insights. This advancement creates fresh avenues for companies to rethink their customer interactions, innovate products and services, and enhance team efficiency. Baioniq, developed by Quantiphi, is an enterprise-focused Generative AI Platform hosted on AWS, tailored to assist organizations in swiftly integrating generative AI capabilities tailored to their unique needs. For AWS clients, baioniq is packaged in a container format and can be easily deployed on the AWS infrastructure. It delivers a flexible solution that empowers modern businesses to customize LLMs by integrating domain-specific information and executing specialized tasks in just four straightforward steps. Furthermore, this capability allows companies to remain agile and responsive to changing market demands. -
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Determined AI
Determined AI
With Determined, you can engage in distributed training without needing to modify your model code, as it efficiently manages the provisioning of machines, networking, data loading, and fault tolerance. Our open-source deep learning platform significantly reduces training times to mere hours or minutes, eliminating the lengthy process of days or weeks. Gone are the days of tedious tasks like manual hyperparameter tuning, re-running failed jobs, and the constant concern over hardware resources. Our advanced distributed training solution not only surpasses industry benchmarks but also requires no adjustments to your existing code and seamlessly integrates with our cutting-edge training platform. Additionally, Determined features built-in experiment tracking and visualization that automatically logs metrics, making your machine learning projects reproducible and fostering greater collaboration within your team. This enables researchers to build upon each other's work and drive innovation in their respective fields, freeing them from the stress of managing errors and infrastructure. Ultimately, this streamlined approach empowers teams to focus on what they do best—creating and refining their models. -
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Selenic
Parasoft
Selenium tests often suffer from instability and maintenance challenges. Parasoft Selenic addresses prevalent issues in your existing Selenium projects without imposing vendor restrictions. When your team relies on Selenium for developing and testing the user interface of software applications, it's crucial to ensure that the testing process effectively uncovers genuine problems, formulates relevant and high-quality tests, and minimizes maintenance efforts. Although Selenium provides numerous advantages, maximizing the efficiency of your UI testing while utilizing your current processes is essential. With Parasoft Selenic, you can pinpoint actual UI problems and receive prompt feedback on test outcomes, enabling you to deliver superior software more swiftly. You can enhance your existing library of Selenium web UI tests or quickly generate new ones using a versatile companion that integrates effortlessly into your setup. Parasoft Selenic employs AI-driven self-healing to resolve frequent Selenium issues, significantly reduces test execution time through impact analysis, and provides additional features to streamline your testing workflow. Ultimately, this tool empowers your team to achieve more effective and reliable testing results. -
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GPURich
GPURich
$250 per monthWe utilize AI Agents to meticulously search through global GPU providers and alert you as soon as one is secured. Once the GPU is available, we will send you an email notification; from there, you can access the machine directly via SSH, and it remains under your control until you decide to release it. This way, you can efficiently manage your resources without any hassle. -
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Hyperplane
Hyperplane
Enhance audience engagement by utilizing the depth of transaction data effectively. Develop detailed personas and impactful marketing strategies rooted in financial behaviors and consumer preferences. Expand user limits confidently, alleviating concerns about defaults. Utilize accurate and consistently updated income estimates for users. The Hyperplane platform empowers financial institutions to create tailored consumer experiences through advanced foundation models. Elevate your offerings with enhanced features for credit assessments, debt collections, and modeling similar customer profiles. By segmenting users based on diverse criteria, you can precisely target specific demographic groups for personalized marketing efforts, content distribution, and user behavior analysis. This segmentation process is facilitated through various facets, which are essential traits or characteristics that aid in categorizing users; furthermore, Hyperplane enriches user segmentation by integrating additional attributes, allowing for a more refined filtering of responses from specific audience segmentation endpoints, thus optimizing the marketing strategy. Such comprehensive segmentation enables organizations to better understand their audience and improve engagement outcomes. -
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calldesk
calldesk
Direct your teams to prioritize meaningful interactions, enhancing overall customer satisfaction. Address client concerns autonomously, minimizing the need for agent involvement. Streamline repetitive tasks for your teams, whether during or after calls. Initiate with a focused call flow that allows for seamless customer feedback collection. Offer round-the-clock support without any wait times, even in peak call periods. Automate the handling of routine inbound calls to boost operational efficiency. Resolve straightforward inquiries without needing agent assistance. Allow your team to dedicate more time to impactful interactions that elevate customer satisfaction over the phone. Revamp your contact center comprehensively to effectively compete in customer retention. Integrate human expertise with AI technology to improve service delivery to your clientele. Enhance team productivity and surpass your operational targets through AI-driven solutions. Craft unforgettable customer experiences that will leave a lasting impression and set your brand apart in the market. Ultimately, this strategic approach not only increases satisfaction but also fosters loyalty among your customer base. -
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Qlik Staige
QlikTech
Leverage the capabilities of Qlik® Staige™ to transform AI into a tangible reality by establishing a reliable data infrastructure, incorporating automation, generating actionable predictions, and creating a significant impact across your organization. AI transcends mere experiments and initiatives; it represents a comprehensive ecosystem filled with files, scripts, and outcomes. Regardless of where you allocate your resources, we have collaborated with premier sources to provide integrations that enhance efficiency, facilitate management, and ensure quality assurance. Streamline the process of delivering real-time data to AWS data warehouses or data lakes, making it readily available through a well-governed catalog. Our latest partnership with Amazon Bedrock allows for seamless connections to essential large language models (LLMs) such as A21 Labs, Amazon Titan, Anthropic, Cohere, and Meta. This smooth integration with Amazon Bedrock not only simplifies access for AWS customers but also empowers them to harness large language models alongside analytics, resulting in insightful, AI-driven conclusions. By utilizing these advancements, organizations can fully unlock their data's potential in innovative ways. -
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Prompt Security
Prompt Security
Prompt Security allows businesses to leverage Generative AI while safeguarding against various risks that could affect their applications, workforce, and clientele. It meticulously evaluates every interaction involving Generative AI—ranging from AI applications utilized by staff to GenAI features integrated into customer-facing services—ensuring the protection of sensitive information, the prevention of harmful outputs, and defense against GenAI-related threats. Furthermore, Prompt Security equips enterprise leaders with comprehensive insights and governance capabilities regarding the AI tools in use throughout their organization, enhancing overall operational transparency and security. This proactive approach not only fosters innovation but also builds trust with customers by prioritizing their safety. -
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Shakker
Shakker
With Shakker, your creative visions can be transformed into stunning images in mere seconds. The process of generating images using AI is made incredibly user-friendly with Shakker's intuitive interface. Whether you're looking to create new visuals, modify existing styles, merge different elements, or enhance specific areas, Shakker's prompt suggestions and tailored designs provide a seamless experience. This innovative platform changes the landscape of image creation; you can easily upload a reference photo, and it will suggest styles from an extensive library, simplifying the task of producing the ideal image. In addition to style alterations, Shakker presents a suite of advanced editing features, including segmentation, quick selection, and lasso tools, allowing for meticulous inpainting. Shakker.AI harnesses powerful algorithms that not only analyze user input but also generate images that resonate with the desired styles and themes. By interpreting commands with precision, the technology successfully merges the computational strength of AI with artistic expression, resulting in outputs that are both distinct and of exceptional quality. Moreover, Shakker's user-friendly design ensures that anyone, regardless of their technical expertise, can embark on their creative journey with ease and confidence. -
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Qualdo
Qualdo
We excel in Data Quality and Machine Learning Model solutions tailored for enterprises navigating multi-cloud environments, modern data management, and machine learning ecosystems. Our algorithms are designed to identify Data Anomalies across databases in Azure, GCP, and AWS, enabling you to assess and oversee data challenges from all your cloud database management systems and data silos through a singular, integrated platform. Perceptions of quality can vary significantly among different stakeholders within an organization. Qualdo stands at the forefront of streamlining data quality management issues by presenting them through the perspectives of various enterprise participants, thus offering a cohesive and easily understandable overview. Implement advanced auto-resolution algorithms to identify and address critical data challenges effectively. Additionally, leverage comprehensive reports and notifications to ensure your enterprise meets regulatory compliance standards while enhancing overall data integrity. Furthermore, our innovative solutions adapt to evolving data landscapes, ensuring you stay ahead in maintaining high-quality data standards. -
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Blink
Blink Ops
Blink serves as a powerful ROI enhancer for security teams and business executives aiming to efficiently secure an extensive range of scenarios. It provides comprehensive visibility and coverage of alerts throughout your organization and security infrastructure. By leveraging automated processes, it minimizes noise and decreases the incidence of false alarms in alerts. Additionally, it scans for attacks while proactively detecting insider threats and vulnerabilities. Users can establish automated workflows that incorporate pertinent context, simplify communication, and shorten mean time to resolution (MTTR). Alerts can be acted upon to bolster your cloud security posture through no-code automation and generative AI. The platform also facilitates shift-left access requests, streamlines approval processes, and allows developers to work without hindrance, all while ensuring application security. Furthermore, it enables ongoing monitoring of applications for compliance with SOC2, ISO, GDPR, and other standards, helping to enforce necessary controls. This comprehensive approach not only improves security but also enhances operational efficiency across the board. -
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UbiOps
UbiOps
UbiOps serves as a robust AI infrastructure platform designed to enable teams to efficiently execute their AI and ML workloads as dependable and secure microservices, all while maintaining their current workflows. In just a few minutes, you can integrate UbiOps effortlessly into your data science environment, thereby eliminating the tedious task of establishing and overseeing costly cloud infrastructure. Whether you're a start-up aiming to develop an AI product or part of a larger organization's data science unit, UbiOps provides a solid foundation for any AI or ML service you wish to implement. The platform allows you to scale your AI workloads in response to usage patterns, ensuring you only pay for what you use without incurring costs for time spent idle. Additionally, it accelerates both model training and inference by offering immediate access to powerful GPUs, complemented by serverless, multi-cloud workload distribution that enhances operational efficiency. By choosing UbiOps, teams can focus on innovation rather than infrastructure management, paving the way for groundbreaking AI solutions. -
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HeyAI
HeyAI
HeyAI's agent platform is specifically crafted to grow in alignment with your business, adjusting to your changing requirements and expanding as you do. Our platform offers a high degree of customization, enabling us to create agents that meet your distinct business needs. This adaptability allows you to efficiently and cost-effectively scale your operations without the necessity of onboarding and training more personnel. At HeyAI, we prioritize data privacy and security above all else. We collaborate with top cloud service providers like Microsoft to deliver private instances of Large Language Models (LLMs), ensuring that we uphold the highest benchmarks for data security and confidentiality. Our strategy encompasses rigorous data protection measures and adherence to international data privacy regulations. Importantly, we never transmit your sensitive information to OpenAI or any other external service provider outside your secure cloud environment. By choosing HeyAI, you can trust that your data is safeguarded while you focus on your business growth. -
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Nexteam
Nexteam
Discover unmatched productivity and smart solutions with our cutting-edge virtual workforce. With just a single training session, it retains knowledge indefinitely. NexTeam's AI workforce remembers all assignments, adjusts to new obstacles, and continuously enhances its skills, guaranteeing increased value over time as it collaborates with you. Equipped with a contextual memory feature, our AI overcomes the challenges faced by traditional AI systems. It recalls previous interactions, ensuring seamless task execution and dialogue, akin to working alongside a human partner. Beyond mere information retrieval, our AI actively engages in web-based operations. Whether it's retrieving invoices or dispatching personalized emails, it adeptly manages a variety of online tasks, establishing a new benchmark for AI functionality. Furthermore, NexTeam’s AI employees seamlessly integrate with your current software, harmonizing with an array of AI tools, including ChatGPT and beyond, making them the ultimate asset for multitasking excellence. With every interaction, they become even more adept at understanding and meeting your needs, reinforcing their role as indispensable members of your team.
