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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SiaSearch
SiaSearch
We aim to relieve ML engineers from the burdens of data engineering so they can concentrate on their passion for developing superior models more efficiently. Our innovative product serves as a robust framework that simplifies and accelerates the process for developers to discover, comprehend, and disseminate visual data on a large scale, making it ten times easier. Users can automatically generate custom interval attributes using pre-trained extractors or any model of their choice, enhancing the flexibility of data manipulation. The platform allows for effective data visualization and the analysis of model performance by leveraging custom attributes alongside standard KPIs. This functionality enables users to query data, identify rare edge cases, and curate new training datasets across their entire data lake with ease. Additionally, it facilitates the seamless saving, editing, versioning, commenting, and sharing of frames, sequences, or objects with both colleagues and external partners. SiaSearch stands out as a data management solution that automatically extracts frame-level contextual metadata, streamlining fast data exploration, selection, and evaluation. By automating these processes with intelligent metadata, engineering productivity can more than double, effectively alleviating bottlenecks in the development of industrial AI. Ultimately, this allows teams to innovate more rapidly and efficiently in their machine learning endeavors. -
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Harness
Harness
Harness is a comprehensive AI-native software delivery platform designed to modernize DevOps practices by automating continuous integration, continuous delivery, and GitOps workflows across multi-cloud and multi-service environments. It empowers engineering teams to build faster, deploy confidently, and manage infrastructure as code with automated error reduction and cost control. The platform integrates new capabilities like database DevOps, artifact registries, and on-demand cloud development environments to simplify complex operations. Harness also enhances software quality through AI-driven test automation, chaos engineering, and predictive incident response that minimize downtime. Feature management and experimentation tools allow controlled releases and data-driven decision-making. Security and compliance are strengthened with automated vulnerability scanning, runtime protection, and supply chain security. Harness offers deep insights into engineering productivity and cloud spend, helping teams optimize resources. With over 100 integrations and trusted by top companies, Harness unifies AI and DevOps to accelerate innovation and developer productivity. -
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Symbee
Symbee
It's essential to have a solution that can be easily transitioned to, with the option of support from knowledgeable consultants who comprehend your current position and future goals. You should be satisfied with a product that allows for straightforward management and support, avoids the need for continuous upgrade projects and capital expenditures, and is consistently enhanced with new capabilities as advancements in contact center technology occur. Symbee stands out as the most advanced Amazon Connect partner globally, providing the full benefits of Amazon CX innovations without the burden of creating everything from scratch. With Symbee, you'll receive a comprehensive AWS cloud-based omnichannel contact center and unified communications platform that integrates voice, chat, SMS, video, and social interactions seamlessly, all powered by AWS AI and machine learning services. Additionally, our low-code and no-code integrations with leading CRM, workforce management, and other contact center solutions can be implemented in just hours, significantly speeding up your operational readiness. This efficiency not only streamlines your onboarding process but also empowers your team to focus on enhancing customer experiences without the typical delays associated with deployment. -
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SAS Viya
SAS
SAS Viya is an advanced cloud-native data and AI platform designed to help organizations manage data, develop AI models, and operationalize analytics from one unified environment. The platform combines data access, machine learning, analytics, governance, and decision deployment into a scalable system built for enterprise use. SAS Viya enables businesses to connect to data across multiple sources while maintaining transparency, lineage, governance, and auditability throughout the AI lifecycle. Organizations can use the platform to accelerate model development, streamline workflows, and deploy trusted AI solutions faster and more efficiently. The platform includes built-in governance features that support fairness, explainability, compliance, and responsible AI practices across teams and business processes. SAS Viya also supports secure AI agent integration through the SAS Viya MCP Server, allowing AI-driven tools and copilots to interact with enterprise workflows responsibly. Businesses can deploy the platform in cloud, hybrid, or on-premises environments based on operational and security requirements. SAS Viya is used across industries for applications such as fraud detection, healthcare analytics, forecasting, customer intelligence, and AI model operationalization. The platform is designed to improve productivity by simplifying complex AI workflows and enabling collaboration between data scientists, analysts, and business users. Backed by decades of analytics expertise, SAS Viya helps organizations transform raw data into transparent and actionable business decisions at scale. -
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JFrog
JFrog
$98 per monthAn entirely automated DevOps platform designed for the seamless distribution of reliable software releases from development to production. Expedite the onboarding of DevOps initiatives by managing users, resources, and permissions to enhance deployment velocity. Confidently implement updates by proactively detecting open-source vulnerabilities and ensuring compliance with licensing regulations. Maintain uninterrupted operations throughout your DevOps process with High Availability and active/active clustering tailored for enterprises. Seamlessly manage your DevOps ecosystem using pre-built native integrations and those from third-party providers. Fully equipped for enterprise use, it offers flexibility in deployment options, including on-premises, cloud, multi-cloud, or hybrid solutions that can scale alongside your organization. Enhance the speed, dependability, and security of software updates and device management for IoT applications on a large scale. Initiate new DevOps projects within minutes while easily integrating team members, managing resources, and establishing storage limits, enabling quicker coding and collaboration. This comprehensive platform empowers your team to focus on innovation without the constraints of traditional deployment challenges. -
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Krista
Krista
Krista is an intelligent automation platform that does not require any programming knowledge. It orchestrates your people and apps to optimize business results. Krista integrates machine learning and other apps faster than you could imagine. Krista was designed to automate business outcomes and not back-office tasks. Optimizing outcomes requires that you span departments and apps, deploy AI/ML for autonomous decision making, leverage your existing task automation, and enable constant change. Krista digitizes entire processes to deliver organization-wide, bottom line impact. Automating your business faster and reducing the IT backlog is a good idea. Krista significantly reduces TCO when compared to your existing automation platform. -
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DoiT
DoiT
$0DoiT is a global technology company that delivers a comprehensive cloud operations platform designed to optimize performance, scalability, and cost efficiency. Powered by proactive, industry-leading expertise, DoiT Cloud Intelligence is the only context-aware multicloud platform that turns insights into action. With deep specializations in Kubernetes, GenAI, CloudOps, and FinOps, we partner with AWS, Google Cloud, and Microsoft Azure to help over 4,000 businesses worldwide enhance cloud performance, reliability, and security. Whether managing complex multicloud environments or driving innovation, DoiT provides the intelligence and human expertise needed to maximize your cloud investment. -
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Launchable
Launchable
Having the most skilled developers isn't enough if testing processes are hindering their progress; in fact, a staggering 80% of your software tests may be ineffective. The challenge lies in identifying which 80% is truly unnecessary. We utilize your data to pinpoint the essential 20%, enabling you to accelerate your release process. Our predictive test selection tool, inspired by machine learning techniques employed by leading companies like Facebook, is designed for easy adoption by any organization. We accommodate a variety of programming languages, test frameworks, and continuous integration systems—just integrate Git into your workflow. Launchable employs machine learning to evaluate your test failures alongside your source code, sidestepping traditional code syntax analysis. This flexibility allows Launchable to effortlessly extend its support to nearly any file-based programming language, ensuring it can adapt to various teams and projects with differing languages and tools. Currently, we provide out-of-the-box support for languages including Python, Ruby, Java, JavaScript, Go, C, and C++, with a commitment to continually expand our offerings as new languages emerge. In this way, we help organizations streamline their testing process and enhance overall efficiency. -
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Mona
Mona
Mona is a flexible and intelligent monitoring platform for AI / ML. Data science teams leverage Mona’s powerful analytical engine to gain granular insights about the behavior of their data and models, and detect issues within specific segments of data, in order to reduce business risk and pinpoint areas that need improvements. Mona enables tracking custom metrics for any AI use case within any industry and easily integrates with existing tech stacks. In 2018, we ventured on a mission to empower data teams to make AI more impactful and reliable, and to raise the collective confidence of business and technology leaders in their ability to make the most out of AI. We have built the leading intelligent monitoring platform to provide data and AI teams with continuous insights to help them reduce risks, optimize their operations, and ultimately build more valuable AI systems. Enterprises in a variety of industries leverage Mona for NLP/NLU, speech, computer vision, and machine learning use cases. Mona was founded by experienced product leaders from Google and McKinsey&Co, is backed by top VCs, and is HQ in Atlanta, Georgia. In 2021, Mona was recognized by Gartner as a Cool Vendor in AI Operationalization and Engineering. -
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Amazon DevOps Guru
Amazon
$0.0028 per resource per hourAmazon DevOps Guru leverages machine learning technology to enhance the operational efficiency and reliability of applications. This service identifies unusual behaviors that stray from standard operational patterns, allowing teams to pinpoint potential operational errors before they impact users. By utilizing machine learning models informed by years of data from Amazon.com and AWS Operational Excellence, DevOps Guru can recognize anomalous behaviors in applications, such as spikes in latency, rising error rates, and resource constraints. Furthermore, it plays a crucial role in spotting significant errors that may lead to service disruptions. Upon detecting a critical issue, DevOps Guru promptly issues an alert and supplies a comprehensive summary of the associated anomalies, potential root causes, and contextual information regarding the timing and location of the problem, thereby facilitating quicker resolution and minimizing downtime. This proactive approach not only helps maintain service quality but also empowers teams to respond effectively to incidents. -
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Sync
Sync Computing
Sync Computing's Gradient is an advanced AI-driven optimization engine designed to streamline and enhance cloud-based data infrastructure. Utilizing cutting-edge machine learning technology developed at MIT, Gradient enables organizations to optimize the performance of their cloud workloads on CPUs and GPUs while significantly reducing costs. The platform offers up to 50% savings on Databricks compute expenses, ensuring workloads consistently meet runtime service level agreements (SLAs). With continuous monitoring and dynamic adjustments, Gradient adapts to changing data sizes and workload patterns, delivering peak efficiency across complex pipelines. Seamlessly integrating with existing tools and supporting various cloud providers, Sync Computing provides a robust solution for optimizing modern data infrastructure. -
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oneAPI
Intel
Intel oneAPI is a comprehensive, open development platform built for heterogeneous and accelerated computing. It allows developers to target CPUs, GPUs, and specialized accelerators using a single, consistent programming approach. With optimized libraries like oneDNN and oneMKL, oneAPI enhances AI inference, machine learning, and high-performance computing workflows. The platform supports modern programming models such as SYCL, OpenMP, OpenMPI, and Data Parallel C++ to enable scalable hybrid parallelism. Developers can migrate existing CUDA-based applications more easily using compatibility and auto-migration tools. oneAPI delivers performance and productivity across client devices, enterprise servers, and cloud environments. Its tools help analyze workloads, optimize GPU offloading, and improve memory efficiency. By leveraging open specifications, oneAPI promotes cross-vendor collaboration and long-term portability. The ecosystem includes extensive documentation, training, and community support. oneAPI is designed to meet the demands of modern applications that combine AI and advanced computation. -
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WEKA
WEKA
WEKA is an advanced data platform that delivers exceptional performance, scalability, and efficiency for AI, machine learning, and high-performance computing applications. By breaking down data silos, WEKA enables seamless integration across cloud and on-premise environments, allowing businesses to manage and analyze vast data sets effortlessly. The platform supports a variety of use cases, including HPC, AI inferencing, and generative AI, with robust infrastructure that accelerates model training and optimizes performance at scale. Additionally, WEKA emphasizes sustainability by reducing energy usage, offering a future-ready solution for data-driven innovation. -
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icetana
icetana
$650 per monthEmpowering the crew behind the lens is essential for safeguarding those in front of it. Gathering video footage is merely a starting point, as security personnel truly excel when they can respond to urgent situations. Unfortunately, many security teams find themselves trapped in a perpetual loop of monitoring screens. The number of screens requiring individual attention is growing at a concerning rate. Additionally, security teams are now responsible for overseeing remote locations, further complicating their mission to ensure the safety of both the public and property. This expectation can be overwhelming. With an increasing number of cameras and a trend towards smaller teams, even the most dedicated security professionals often encounter challenges that lead to oversights. While technology can assist with basic object recognition, it frequently lacks the focus on real-time incidents. Coupled with heightened scrutiny from both the media and the public, the pressure can escalate rapidly. The burden of preventing crime while protecting individuals and assets can seem insurmountable. However, it is crucial to recognize that there are effective solutions available to transform this daunting task into a manageable one. -
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Clevy
Clevy
$19 per monthClevy streamlines internal processes and inquiries, allowing you to concentrate on your most valuable asset: your employees. Experience the ultimate solution for enhancing employee engagement, as it serves as the all-in-one platform you require. By centralizing and managing all employee requests, you can boost the productivity of your HR and support teams significantly. Implement a robust AI knowledge base that empowers employees to swiftly resolve their own issues. With Clevy's no-code form builder, you can efficiently gather employee data and seamlessly integrate it with your organization's entire application ecosystem to optimize business workflows. Organize all employee inquiries in a single location, monitor queries for prompt responses, and save time using AI-generated draft answers. Offer immediate assistance at any hour through an AI-driven portal that minimizes repetitive questions directed at internal support teams by 80%. Moreover, the platform integrates effortlessly with all third-party software utilized by the company, ensuring a smooth flow of information within your organization's application landscape, particularly tailored for small to medium-sized businesses. This innovative approach not only enhances communication but also fosters a more engaged and productive workforce. -
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Pinecone
Pinecone
The AI Knowledge Platform. The Pinecone Database, Inference, and Assistant make building high-performance vector search apps easy. Fully managed and developer-friendly, the database is easily scalable without any infrastructure problems. Once you have vector embeddings created, you can search and manage them in Pinecone to power semantic searches, recommenders, or other applications that rely upon relevant information retrieval. Even with billions of items, ultra-low query latency Provide a great user experience. You can add, edit, and delete data via live index updates. Your data is available immediately. For more relevant and quicker results, combine vector search with metadata filters. Our API makes it easy to launch, use, scale, and scale your vector searching service without worrying about infrastructure. It will run smoothly and securely. -
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Voicetapp
Voicetapp
$9 per 60 minutesTransform spoken words into text swiftly and precisely, supporting over 170 languages and dialects. The Speaker Identification Feature enables the recognition of up to five distinct voices within the audio. With our advanced live transcription capability, users can transcribe audio in real-time using twelve different languages. Voicetapp boasts a user-friendly and pristine dashboard, ensuring a comfortable experience for all users. Utilizing cutting-edge deep learning technology backed by AI, we can assure accuracy rates that reach as high as 100%. Our state-of-the-art ASR engine, enhanced by its ability to detect and interpret speech, can effortlessly incorporate punctuation into the text. By leveraging our innovative speech-to-text solutions, we are revolutionizing the way businesses operate and communicate. This transformation not only improves efficiency but also enhances accessibility for diverse global audiences. -
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Cameralyze
Cameralyze
$29 per monthEnhance your product's capabilities with artificial intelligence. Our platform provides an extensive range of ready-to-use models along with an intuitive no-code interface for creating custom models. Effortlessly integrate AI into your applications for a distinct competitive advantage. Sentiment analysis, often referred to as opinion mining, involves the extraction of subjective insights from textual data, including customer reviews, social media interactions, and feedback, categorizing these insights as positive, negative, or neutral. The significance of this technology has surged in recent years, with a growing number of businesses leveraging it to comprehend customer sentiments and requirements, ultimately leading to data-driven decisions that can refine their offerings and marketing approaches. By employing sentiment analysis, organizations can gain valuable insights into customer feedback, enabling them to enhance their products, services, and promotional strategies effectively. This advancement not only aids in improving customer satisfaction but also fosters innovation within the company. -
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Horovod
Horovod
FreeOriginally created by Uber, Horovod aims to simplify and accelerate the process of distributed deep learning, significantly reducing model training durations from several days or weeks to mere hours or even minutes. By utilizing Horovod, users can effortlessly scale their existing training scripts to leverage the power of hundreds of GPUs with just a few lines of Python code. It offers flexibility for deployment, as it can be installed on local servers or seamlessly operated in various cloud environments such as AWS, Azure, and Databricks. In addition, Horovod is compatible with Apache Spark, allowing a cohesive integration of data processing and model training into one streamlined pipeline. Once set up, the infrastructure provided by Horovod supports model training across any framework, facilitating easy transitions between TensorFlow, PyTorch, MXNet, and potential future frameworks as the landscape of machine learning technologies continues to progress. This adaptability ensures that users can keep pace with the rapid advancements in the field without being locked into a single technology. -
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Qualiti.ai
Qualiti.ai
Cease the creation, upkeep, or assessment of automated tests once and for all. Qualiti serves as the essential AI tester that every developer desires, providing instantaneous automated testing that delivers immediate feedback. With Qualiti's AI-driven platform, software products can be evaluated without any human intervention, resulting in swifter testing and more thorough outcomes. It seamlessly integrates with your SCM/VCS or CI/CD tools and project management systems, eliminating the need to juggle yet another tool. By utilizing hands-free automation, Qualiti has the potential to cut up to 34% from an organization’s engineering budget while allowing engineers to produce more dependable code at a quicker pace. Developers can submit code and receive results in just a matter of minutes, accelerating the process of identifying and rectifying bugs, which ultimately shortens the time it takes to reach the market. Avoid depending on metrics that fail to reflect the critical aspects of what is actually being tested. Instead, gain insights into tests and coverage by navigating through your application, allowing you to see firsthand what is genuinely under evaluation. This transparency ensures that you focus not just on numbers, but on the quality of your testing. -
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NVIDIA Brev
NVIDIA
$0.04 per hourNVIDIA Brev is designed to streamline AI and ML development by delivering ready-to-use GPU environments hosted on popular cloud platforms. With Launchables, users can rapidly deploy preconfigured compute instances tailored to their project’s needs, including GPU capacity, container images, and essential files like notebooks or GitHub repositories. These Launchables can be customized, named, and generated with just a few clicks, then easily shared across social networks or directly with collaborators. The platform includes a variety of prebuilt Launchables that incorporate NVIDIA’s latest AI frameworks, microservices, and Blueprints, allowing developers to get started without delay. NVIDIA Brev also offers a virtual GPU sandbox, making it simple to set up CUDA-enabled environments, run Python scripts, and work within Jupyter notebooks right from a browser. Developers can monitor Launchable usage metrics and leverage CLI tools for fast code editing and SSH access. This flexible, easy-to-use platform accelerates the entire AI development lifecycle from experimentation to deployment. It empowers teams and startups to innovate faster by removing traditional infrastructure barriers. -
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Chalk
Chalk
FreeExperience robust data engineering processes free from the challenges of infrastructure management. By utilizing straightforward, modular Python, you can define intricate streaming, scheduling, and data backfill pipelines with ease. Transition from traditional ETL methods and access your data instantly, regardless of its complexity. Seamlessly blend deep learning and large language models with structured business datasets to enhance decision-making. Improve forecasting accuracy using up-to-date information, eliminate the costs associated with vendor data pre-fetching, and conduct timely queries for online predictions. Test your ideas in Jupyter notebooks before moving them to a live environment. Avoid discrepancies between training and serving data while developing new workflows in mere milliseconds. Monitor all of your data operations in real-time to effortlessly track usage and maintain data integrity. Have full visibility into everything you've processed and the ability to replay data as needed. Easily integrate with existing tools and deploy on your infrastructure, while setting and enforcing withdrawal limits with tailored hold periods. With such capabilities, you can not only enhance productivity but also ensure streamlined operations across your data ecosystem. -
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Cloud Cost Pro
Gathr.ai
FreeIntroducing Cloud Cost Pro, a premier solution for optimizing cloud expenditures and managing FinOps effectively. With Cloud Cost Pro, you obtain a comprehensive perspective of your multi-cloud landscape, enriched with practical insights, machine learning-driven suggestions, and automated processes to enhance your cloud operations. Propel improvements throughout your organization, refine your budgeting strategies, and uphold compliance with best practices for security and resilience. The tool automates the evaluation of best practices and responds to budget discrepancies and irregularities. Benefit from machine learning-enhanced cost predictions, anomaly identification, and tailored optimization guidance. Achieve thorough, detailed visibility into your cloud assets, ensuring that every dollar spent is justified. Effortlessly monitor multi-cloud expenses across various teams and departments, receiving nearly real-time insights to fine-tune cloud costs. With the capability for machine learning-driven anomaly detection, you can promptly deactivate any unapproved, expensive resources before costs escalate significantly. This proactive approach not only safeguards your budget but also fosters a culture of financial accountability within your organization. -
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Tablize
Tablize
$19 .99 per monthTransform your approach to data management with Tablize, which effortlessly converts various sources into dynamic dashboards using AI technology. Tablize enables seamless integration of different live data sources, facilitating real-time calculations across sheets for enhanced processing. You can automatically draw in data from any location, whether it resides in spreadsheets, databases, ERPs, or CRMs, ensuring comprehensive accessibility. The platform’s customizable dashboard blocks and extensive toolbox provide tailored setups that cater to the unique analytical requirements of each user persona. Additionally, the dashboard portal synchronizes views smoothly across multiple devices, enhancing consistency and collaboration. By harnessing these synchronized insights, organizations can empower leaders to make informed decisions from anywhere. This capability not only streamlines data utilization but also fosters a culture of data-driven leadership. -
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RagaAI
RagaAI
RagaAI stands out as the premier AI testing platform, empowering businesses to minimize risks associated with artificial intelligence while ensuring that their models are both secure and trustworthy. By effectively lowering AI risk exposure in both cloud and edge environments, companies can also manage MLOps expenses more efficiently through smart recommendations. This innovative foundation model is crafted to transform the landscape of AI testing. Users can quickly pinpoint necessary actions to address any dataset or model challenges. Current AI-testing practices often demand significant time investments and hinder productivity during model development, leaving organizations vulnerable to unexpected risks that can lead to subpar performance after deployment, ultimately wasting valuable resources. To combat this, we have developed a comprehensive, end-to-end AI testing platform designed to significantly enhance the AI development process and avert potential inefficiencies and risks after deployment. With over 300 tests available, our platform ensures that every model, data, and operational issue is addressed, thereby speeding up the AI development cycle through thorough testing. This rigorous approach not only saves time but also maximizes the return on investment for businesses navigating the complex AI landscape.
