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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Sagify
Sagify
Sagify enhances AWS Sagemaker by abstracting its intricate details, allowing you to devote your full attention to Machine Learning. While Sagemaker serves as the core ML engine, Sagify provides a user-friendly interface tailored for data scientists. By simply implementing two functions—train and predict—you can efficiently train, fine-tune, and deploy numerous ML models. This streamlined approach enables you to manage all your ML models from a single platform, eliminating the hassle of low-level engineering tasks. With Sagify, you can say goodbye to unreliable ML pipelines, as it guarantees consistent training and deployment on AWS. Thus, by focusing on just two functions, you gain the ability to handle hundreds of ML models effortlessly. -
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Credo AI
Credo AI
Unify your AI governance initiatives amongst various stakeholders, guarantee that your governance procedures are primed for regulatory compliance, and effectively assess and control your AI-related risks and adherence to regulations. Transition from disjointed teams and processes to a consolidated source of reliable governance that simplifies the effective management of all your AI and machine learning projects. Keep informed on the latest regulations and standards with AI Policy Packs designed to comply with both current and emerging rules. Credo AI functions as an intelligence layer that integrates with your AI systems, converting technical documentation into practical insights regarding risk and compliance for product managers, data scientists, and governance professionals. By enhancing your technical and business infrastructure, Credo AI also provides risk and compliance metrics that can guide decision-making across your organization. This comprehensive approach not only streamlines governance but also fosters a culture of accountability and transparency in AI development. -
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CognitiveScale Cortex AI
CognitiveScale
Creating AI solutions necessitates a robust engineering strategy that emphasizes resilience, openness, and repeatability to attain the required quality and agility. Up until now, these initiatives have lacked a solid foundation to tackle these issues amidst a multitude of specialized tools and the rapidly evolving landscape of models and data. A collaborative development platform is essential for automating the creation and management of AI applications that cater to various user roles. By extracting highly detailed customer profiles from organizational data, businesses can forecast behaviors in real-time and on a large scale. AI-driven models can be generated to facilitate continuous learning and to meet specific business objectives. This approach also allows organizations to clarify and demonstrate their compliance with relevant laws and regulations. CognitiveScale's Cortex AI Platform effectively addresses enterprise AI needs through a range of modular offerings. Customers can utilize and integrate its functionalities as microservices within their broader AI strategies, enhancing flexibility and responsiveness to their unique challenges. This comprehensive framework supports the ongoing evolution of AI development, ensuring that organizations can adapt to future demands. -
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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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CentML
CentML
CentML enhances the performance of Machine Learning tasks by fine-tuning models for better use of hardware accelerators such as GPUs and TPUs, all while maintaining model accuracy. Our innovative solutions significantly improve both the speed of training and inference, reduce computation expenses, elevate the profit margins of your AI-driven products, and enhance the efficiency of your engineering team. The quality of software directly reflects the expertise of its creators. Our team comprises top-tier researchers and engineers specializing in machine learning and systems. Concentrate on developing your AI solutions while our technology ensures optimal efficiency and cost-effectiveness for your operations. By leveraging our expertise, you can unlock the full potential of your AI initiatives without compromising on performance. -
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Cyclops
Cyclops Security
One of the greatest hurdles in cybersecurity is effectively prioritizing risk, and our cutting-edge solution offers a tailored business framework for your security operations, enabling you to assess the efficacy of your security measures in relation to your specific organizational needs. Cyclops seamlessly integrates with your current security systems through the CSMA methodology, collecting metadata on a variety of threats, vulnerabilities, cloud environments, SaaS applications, and beyond. It further enhances this information by contextualizing it, analyzing the same entities across different integrated platforms. By delivering this context-driven approach to risk assessment, our cybersecurity mesh product empowers you to make informed decisions and concentrate on what truly matters for your business's security posture. Ultimately, this allows organizations to proactively address vulnerabilities while aligning security strategies with business objectives. -
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Inspira Machine Suite
Inspira
Inspira's Machine Suite is comprised of various AI-driven 'engines' that our team can tailor to execute numerous routine management tasks; these tasks may be labor-intensive for humans, yet are effortlessly handled by the machine suite. Each engine works in harmony to autonomously enhance production efficiency. Additionally, data from any AI production tool integrated with the machine can be processed through our API, with custom endpoints available upon request. The classification engine is responsible for categorizing, labeling, and securely storing data on encrypted AWS servers in a format compatible with the other AI engines. Once the data is ingested, it undergoes a thorough process of cleaning, normalization, enrichment, and aggregation, ensuring it is primed for further processing by the machine's additional engines. This comprehensive approach not only streamlines management tasks but also significantly boosts operational productivity across all sectors. -
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Nebuli Nano
Nebuli
Introducing Nano, your exceptionally skilled and supportive chat partner, professional colleague, business advocate, research aide, and a wellspring of creative ideas. Designed with your unique requirements in mind, Nano creates tailored AI models for your team without exposing any confidential data outside your organization. By adhering to Nebuli’s stringent safety protocols, Nano ensures robust data security and privacy through advanced data management, human-in-the-loop approaches, and transparent AI systems. Utilizing the powerful DeepVUE knowledge-based composite AI framework, Nano seamlessly integrates with your data to enrich your user-oriented services, including intelligent document searches, content creation tools, educational chatbots, marketing automation, robotic sales teams, industry analytics, and an array of other innovative solutions. With Nano, you will find a versatile ally capable of transforming workflows and enhancing productivity across various fields. -
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Cofondr
Cofondr
$99 per monthCofondr takes care of all the tedious non-coding responsibilities, allowing you to concentrate on your passions. It manages essential paperwork such as privacy policies and terms and conditions, relieving you of those mundane tasks. By listing your project on numerous popular platforms, it boosts your visibility and generates valuable backlinks. Additionally, it assists with a multitude of minor tasks that you might dread but are necessary to complete. The service also conducts testing and quality assurance for your product to ensure its reliability. Furthermore, it secures benefits from providers like AWS, helping you save money. Lastly, Cofondr enhances the SEO of your blog and website, ensuring you reach a wider audience effectively. -
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Tune AI
NimbleBox
Harness the capabilities of tailored models to gain a strategic edge in your market. With our advanced enterprise Gen AI framework, you can surpass conventional limits and delegate repetitive tasks to robust assistants in real time – the possibilities are endless. For businesses that prioritize data protection, customize and implement generative AI solutions within your own secure cloud environment, ensuring safety and confidentiality at every step. -
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DATACURVE LogicWare
DataCurve
By utilizing DATACURVE's Logicware, you can secure a significant advantage in the market by implementing AI solutions that are tailored to your unique data and expertise, applicable across various business sectors like marketing, operations, finance, and customer interaction. Its comprehensive features and seamless enterprise integrations allow Logicware to expedite your company's project launches, enabling you to quickly capitalize on emerging opportunities and maintain a competitive position in an ever-evolving business environment. Designed for immediate deployment, Logicware remains independent of specific AI models or blockchain technologies, streamlining intricate user interactions to maximize the capabilities of AI and web3 applications. Harness our proprietary AI agents to transform unrefined data into innovative and valuable asset classes through the tokenization of physical infrastructure and real-world assets. Additionally, Logicware reveals passionate superfans hidden within extensive data sets, equipping businesses to recognize their most devoted supporters and foster more profound connections with them, ultimately enhancing brand loyalty and engagement. This strategic approach to data utilization not only drives growth but also ensures sustained relevance in the marketplace. -
12
Cognikeep
Cognikeep AI
$1000/month We are working on private AI implementation across sectors and use-cases. We work with customers who want to use Generative AI but are worried about their privacy. We deploy AI directly into their services so they can use it however they need - as an AI chatbot or in-app integration, leveraging insights derived from their data, hiring assistance, etc. We offer our services in a wide range of sectors and geographies, and we are always willing to take on new challenges. -
13
FloTorch
FloTorch
FloTorch.ai serves as a sophisticated platform for orchestrating real-time Retrieval-Augmented Generation (RAG), aimed at enhancing the efficiency of AI-based workflows within corporate settings. Its offerings include the AutoRAG Tuner, which fine-tunes RAG pipelines for optimal performance, alongside advanced capabilities in LLMOps and FMOps to facilitate seamless management of the AI lifecycle. Additionally, it provides extensive real-time monitoring tools tailored for large-scale implementations, ensuring that enterprises can effectively manage and assess their AI operations. This comprehensive approach positions FloTorch.ai as a key player in the evolution of AI deployment strategies across various industries. -
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Amazon Titan
Amazon
Amazon Titan consists of a collection of sophisticated foundation models from AWS, aimed at boosting generative AI applications with exceptional performance and adaptability. Leveraging AWS's extensive expertise in AI and machine learning developed over 25 years, Titan models cater to various applications, including text generation, summarization, semantic search, and image creation. These models prioritize responsible AI practices by integrating safety features and fine-tuning options. Additionally, they allow for customization using your data through Retrieval Augmented Generation (RAG), which enhances accuracy and relevance, thus making them suitable for a wide array of both general and specialized AI tasks. With their innovative design and robust capabilities, Titan models represent a significant advancement in the field of artificial intelligence. -
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Vidora Cortex
Vidora
Building Machine Learning Pipelines internally can be costly and take longer than expected. Gartner's statistics show that more than 80% will fail in AI Projects. Cortex helps teams set up machine learning faster than other alternatives and puts data to work for business results. Every team can create their own AI Predictions. You no longer need to wait for a team to be hired and costly infrastructure to be built. Cortex allows you to make predictions using the data you already own, all via a simple web interface. Everyone can now be a Data Scientist! Cortex automates the process for turning raw data into Machine Learning Pipelines. This eliminates the most difficult and time-consuming aspects of AI. These predictions are accurate and always up-to-date because Cortex continuously ingests new data and updates the underlying model automatically, with no human intervention. -
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Climb
Climb
Choose a model, and we will take care of the deployment, hosting, version control, and optimization, ultimately providing you with an inference endpoint for your use. This way, you can focus on your core tasks while we manage the technical details.
