Best Artificial Intelligence Software for Amazon Web Services (AWS) - Page 16

Compare the Top Artificial Intelligence Software that integrates with Amazon Web Services (AWS) as of October 2025 - Page 16

This a list of Artificial Intelligence software that integrates with Amazon Web Services (AWS). Use the filters on the left to add additional filters for products that have integrations with Amazon Web Services (AWS). View the products that work with Amazon Web Services (AWS) in the table below.

  • 1
    Verint AI Blueprint
    It’s easy to get lost among the buzzwords and trends in the world of AI. That’s why you need a map to guide you. Your enterprise needs to know how automation will best benefit your bottom line, your employees’ productivity, and, of course, the customer experience. With Verint AI Blueprint™, you can determine which conversational AI use cases will provide immediate ROI and generate long-term enterprise business value. Along with Verint’s team of experts, AI Blueprint generates a roadmap for ongoing success and continuous improvement of your automation while also highlighting business opportunities based on your customers’ data. If you don’t know where to start with enterprise-grade chatbots or conversational AI, AI Blueprint gives you the roadmap you need to launch and succeed in the long term. It’s easy to buy into the AI hype, but without proper planning, you risk launching conversational AI initiatives that fail to address your customer’s needs.
  • 2
    Capgemini Intelligent Automation Platform
    At times of global economic upheaval, boardrooms are driven to rapidly re-assess strategy, priorities and focus. Some will elect to take a cautious approach while others will seize an unplanned but unique opportunity to drive positive change across their business. Today, there is an unprecedented chance to redefine enterprise; to embed new and more agile ways of working, boost innovation, and enhance customer experiences while, simultaneously, realizing new revenue opportunities, reducing costs and perhaps for the first time, do so at scale. Capgemini Intelligent Automation Platform is a purpose-built, plug and play platform enabling effective IT, applications services and business operations delivery to provide intelligent automation at its full potential for businesses to reap maximum value across the entire operation, seamlessly, and at scale. CIAP enables businesses to move from operations focused, limited value, isolated deployment of automation to an enterprise wide approach.
  • 3
    Folio3

    Folio3

    Folio3 Software

    Folio3 machine learning company has a team of dedicated Data Scientists and Consultants that have delivered end-to-end projects related to machine learning, natural language processing, computer vision and predictive analysis. Artificial Intelligence and Machine Learning algorithms have enabled companies to utilize highly-customized solutions equipped with advanced Machine Learning capabilities. Computer vision technology has scaled up visual data analysis, introduced new image- based functionalities and transformed the way companies from various verticals utilize visual content. Predictive analytics solutions offered by Folio3 produce effective and fast results, enabling you to identify opportunities and anomalies in your business processes and strategy.
  • 4
    Chainer

    Chainer

    Chainer

    A powerful, flexible, and intuitive framework for neural networks. Chainer supports CUDA computation. It only requires a few lines of code to leverage a GPU. It also runs on multiple GPUs with little effort. Chainer supports various network architectures including feed-forward nets, convnets, recurrent nets and recursive nets. It also supports per-batch architectures. Forward computation can include any control flow statements of Python without lacking the ability of backpropagation. It makes code intuitive and easy to debug. Comes with ChainerRLA, a library that implements various state-of-the-art deep reinforcement algorithms. Also, with ChainerCVA, a collection of tools to train and run neural networks for computer vision tasks. Chainer supports CUDA computation. It only requires a few lines of code to leverage a GPU. It also runs on multiple GPUs with little effort.
  • 5
    ClearProcess

    ClearProcess

    ClearProcess

    APIs configured in our ClearProcess editor enable automation ranging from a single-step task to an end-to-end business process that may involve hundreds of tasks. Automations configured in ClearProcess can be triggered by human workers, voice commands, text messages, emails, and many other methods. ClearProcess acts as a centralized hub for all of your automation technologies, enabling you to orchestrate powerful automation that drives incredible productivity gains. Configure automation that survives upgrades by avoiding screen-scraping. We automate at the API and database layers. Scale to hundreds of thousands of users across mission-critical business processes. ClearWork enables Attended RPA for all ClearProcess bots. Create a single source of truth by streamlining data and functionality across systems. Thousands of pre-delivered automation for SAP, Salesforce, Oracle E-Business Suite, PeopleSoft, and other packaged software.
  • 6
    CompreFace
    CompreFace is a free and open-source face recognition service that can be easily integrated into any system without prior machine learning skills. CompreFace is delivered as a docker-compose config and supports different models that work on CPU and GPU. Our solution is based on state-of-the-art methods and libraries like FaceNet and InsightFace. It simplifies the detection of unauthorized access to sensitive areas and/or your office security perimeter. It can be used for both collecting data for marketing and sales purposes and/or targeting ads to customers in real-time. It helps track employees and students to verify they’re where they should be. It detects customers upon entrance, allowing businesses to provide excellent customer service. It speeds up checking in at hotels, conferences, and airports. We designed CompreFace to be highly effective, versatile, and straightforward.
  • 7
    SquareFactory

    SquareFactory

    SquareFactory

    End-to-end project, model and hosting management platform, which allows companies to convert data and algorithms into holistic, execution-ready AI-strategies. Build, train and manage models securely with ease. Create products that consume AI models from anywhere, any time. Minimize risks of AI investments, while increasing strategic flexibility. Completely automated model testing, evaluation deployment, scaling and hardware load balancing. From real-time, low-latency, high-throughput inference to batch, long-running inference. Pay-per-second-of-use model, with an SLA, and full governance, monitoring and auditing tools. Intuitive interface that acts as a unified hub for managing projects, creating and visualizing datasets, and training models via collaborative and reproducible workflows.
  • 8
    Sagify

    Sagify

    Sagify

    Sagify complements AWS Sagemaker by hiding all its low-level details so that you can focus 100% on Machine Learning. Sagemaker is the ML engine and Sagify is the data science-friendly interface. You just need to implement 2 functions, a train and a predict in order to train, tune and deploy hundreds of ML models. Manage your ML models from one place without dealing with low level engineering tasks. No more flaky ML pipelines. Sagify offers 100% reliable training and deployment on AWS. Train, tune and deploy hundreds of ML models by implementing just 2 functions.
  • 9
    Credo AI

    Credo AI

    Credo AI

    Standardize your AI governance efforts across diverse stakeholders, ensure regulatory readiness of your governance processes, and measure and manage your AI risks and compliance. Go from fragmented teams and processes to a centralized repository of trusted governance that makes it easy to ensure all of your AI/ML projects are being governed effectively. Stay up-to-date with the latest regulations and standards with AI Policy Packs that meet current and emerging regulations. Credo AI is an intelligence layer that sits on top of your AI infrastructure and translates technical artifacts into actionable risk & compliance insights for product leaders, data scientists, and governance teams. Credo AI is an intelligence layer that sits on top of your technical and business infrastructure and translates technical artifacts into risk and compliance scores.
  • 10
    CognitiveScale Cortex AI
    Developing AI solutions requires an engineering approach that is resilient, open and repeatable to ensure necessary quality and agility is achieved. Until today these efforts are missing the foundation to address these challenges amid a sea of point tools and fast changing models and data. Collaborative developer platform for automating development and control of AI applications across multiple personas. Derive hyper-detailed customer profiles from enterprise data to predict behaviors in real-time and at scale. Generate AI-powered models designed to continuously learn and achieve clearly defined business outcomes. Enables organizations to explain and prove compliance with applicable rules and regulations. CognitiveScale's Cortex AI Platform addresses enterprise AI use cases through modular platform offerings. Our customers consume and leverage its capabilities as microservices within their enterprise AI initiatives.
  • 11
    AWS Deep Learning Containers
    Deep Learning Containers are Docker images that are preinstalled and tested with the latest versions of popular deep learning frameworks. Deep Learning Containers lets you deploy custom ML environments quickly without building and optimizing your environments from scratch. Deploy deep learning environments in minutes using prepackaged and fully tested Docker images. Build custom ML workflows for training, validation, and deployment through integration with Amazon SageMaker, Amazon EKS, and Amazon ECS.
  • 12
    CentML

    CentML

    CentML

    CentML accelerates Machine Learning workloads by optimizing models to utilize hardware accelerators, like GPUs or TPUs, more efficiently and without affecting model accuracy. Our technology boosts training and inference speed, lowers compute costs, increases your AI-powered product margins, and boosts your engineering team's productivity. Software is no better than the team who built it. Our team is stacked with world-class machine learning and system researchers and engineers. Focus on your AI products and let our technology take care of optimum performance and lower cost for you.
  • 13
    Cyclops

    Cyclops

    Cyclops Security

    Prioritizing risk is one of the biggest challenges in cyber security, our innovative solution creates a business context for your security operations, allowing you to validate the effectiveness of your security controls in the context of your unique business requirements. Cyclops integrates with your existing security tools using the CSMA approach to gather metadata on threats, vulnerabilities, cloud instances, SaaS apps, and more. It then enriches this data with context and insights by looking at the same entities in different products that are integrated. By providing this contextualized approach to risk validation, our cybersecurity mesh product helps you make intelligent decisions and focus on what really matters.
  • 14
    Inspira Machine Suite
    Inspira’s Machine Suite consists of several AI-enabled ‘engines’ that can be customized by our team to perform hundreds of routine management tasks…tasks that are time-consuming for humans, but trivial for the machine suite. Each engine seamlessly integrates to autonomously optimize production levels. Data can also be ingested from any AI production tool that has been integrated with the machine, via our API. (Custom endpoints are available upon request.) The classification engine classifies, labels and stores data on encrypted AWS servers in a format the other AI engines can process. After ingest, the data is cleaned, normalized, enriched and aggregated in preparation for additional processing by other engines of the machine.
  • 15
    Nebuli Nano
    Let Nano be your highly skillful and helpful chat companion, professional co-worker, business representative, research assistant, and source of creative inspiration. Nano is trained on your data to build your team’s dedicated and personalized AI models without sharing your private datasets outside your organization. Nano leverages Nebuli’s safety standards through its data stack data security and privacy protocols, human-in-the-loop models, and explainable AI. Nano is powered by our DeepVUE’s knowledge-based composite AI framework, integrated with your datasets to enhance your user-facing services, such as smart document search, composition tools for content generation, tutoring chatbots, marketing automation, robotic sales workforce, industry insights, and much more.
  • 16
    Cofondr

    Cofondr

    Cofondr

    Cofondr handles the non-coding tasks, enabling you to focus on what you love. It handles the boring paperwork like privacy policies, terms and conditions, etc. It adds you to hundreds of popular listings, which drive traffic and backlinks. It helps with 1000 small things that you hate to do, but have to. It can test and do QA for your product. It gets perks from AWS and others for you to save your cash. It works on improving your blog and website's SEO.
    Starting Price: $99 per month
  • 17
    Tune AI

    Tune AI

    NimbleBox

    Leverage the power of custom models to build your competitive advantage. With our enterprise Gen AI stack, go beyond your imagination and offload manual tasks to powerful assistants instantly – the sky is the limit. For enterprises where data security is paramount, fine-tune and deploy generative AI models on your own cloud, securely.
  • 18
    DATACURVE LogicWare
    With DATACURVE's Logicware you gain a competitive edge, deploying AI solutions trained on your data and knowledge base, adapted to your business context, whether it is marketing, operations, finances, or customer engagement. With its robust features and easy enterprise integrations, Logicware accelerates your enterprise’s launch initiatives, seizing opportunities swiftly and staying ahead in the dynamic business landscape. LogicWare is ready to deploy, agnostic of AI models or underlying blockchain infrastructure, and simplifies complex user interactions to unlock the full potential of AI and web3 applications. Leverage our propreitary AI agents to turn raw data into novel and meaningful asset classes by tokenizing real world assets and physical infrastructure. Logicware unearths superfans hidden in vast data, empowering businesses to identify their most passionate ambassadors and cultivate deeper engagement with them.
  • 19
    Cognikeep

    Cognikeep

    Cognikeep AI

    We work on private AI implementation, across sectors and use cases. Servicing customers who wish to leverage Generative AI, but are concerned about the privacy of their data. Hence we deploy AI directly to their services, to they can use it as necessary - as a standalone AI chatbot, in-app integrations, leveraging insights from their data, helping with hiring, etc. We're offering our services across a variety of geographies and sectors and are always open to take on new projects.
    Starting Price: $1000/month
  • 20
    FloTorch

    FloTorch

    FloTorch

    FloTorch.ai is a real-time Retrieval-Augmented Generation (RAG) orchestration platform designed to streamline the deployment of AI-driven workflows in enterprise environments. It offers features such as the AutoRAG Tuner for optimizing RAG pipelines, advanced LLMOps and FMOps capabilities for efficient AI lifecycle management, and comprehensive real-time monitoring for large-scale deployments.
  • 21
    Amazon Titan
    Amazon Titan is a series of advanced foundation models (FMs) from AWS, designed to enhance generative AI applications with high performance and flexibility. Built on AWS's 25 years of AI and machine learning experience, Titan models support a range of use cases such as text generation, summarization, semantic search, and image generation. Titan models are optimized for responsible AI use, incorporating built-in safety features and fine-tuning capabilities. They can be customized with your own data through Retrieval Augmented Generation (RAG) to improve accuracy and relevance, making them ideal for both general-purpose and specialized AI tasks.
  • 22
    Vidora Cortex
    Attempting to build Machine Learning Pipelines internally often takes longer and costs more than planned. And worse, Gartner shows that more than 80% of AI Projects will fail. With Cortex, we help teams get up and running with machine learning faster and cheaper than alternatives, all while putting data to use to improve business outcomes. Empower every team with the ability to create their own AI Predictions. No longer will you need to wait to hire a team and build out costly infrastructure. With Cortex you can create predictions from the data you already have, all through an easy to use web interface. Now everyone is a Data Scientist! Cortex automates the process of turning raw data into Machine Learning Pipelines, eliminating the hardest and most time consuming aspects of AI. These predictions stay accurate and up to date by continuously ingesting new data and updating the underlying model automatically – no human intervention needed.
  • 23
    Climb

    Climb

    Climb

    Select a model, and we'll handle the deployment, hosting, versioning and tuning then give you an inference endpoint.
  • 24
    Amazon Comprehend
    Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. No machine learning experience required. There is a treasure trove of potential sitting in your unstructured data. Customer emails, support tickets, product reviews, social media, even advertising copy represents insights into customer sentiment that can be put to work for your business. The question is how to get at it? As it turns out, Machine learning is particularly good at accurately identifying specific items of interest inside vast swathes of text (such as finding company names in analyst reports), and can learn the sentiment hidden inside language (identifying negative reviews, or positive customer interactions with customer service agents), at almost limitless scale. Amazon Comprehend uses machine learning to help you uncover the insights and relationships in your unstructured data.
  • 25
    Amazon CodeWhisperer
    Build apps faster with ML-powered coding companion. Accelerate application development with automatic code recommendations based on the code and comments in your IDE. Empower developers to use artificial intelligence (AI) responsibly to create syntactically correct and secure applications. Generate entire functions and logical code blocks without having to search and customize code snippets from the web. Stay focused and never leave the IDE, with real-time customized code recommendations for all your Java, Python, and JavaScript projects. Amazon CodeWhisperer is a machine learning (ML)–powered service that helps improve developer productivity by generating code recommendations based on their comments in natural language and code in the integrated development environment (IDE). Accelerate frontend and backend development by empowering developers with automatic code recommendations. Save time and effort by using CodeWhisperer to generate code to build and train your ML models.