Compare the Top Machine Learning Software for Cloud as of January 2026

What is Machine Learning Software for Cloud?

Machine learning software enables developers and data scientists to build, train, and deploy models that can learn from data and make predictions or decisions without being explicitly programmed. These tools provide frameworks and algorithms for tasks such as classification, regression, clustering, and natural language processing. They often come with features like data preprocessing, model evaluation, and hyperparameter tuning, which help optimize the performance of machine learning models. With the ability to analyze large datasets and uncover patterns, machine learning software is widely used in industries like healthcare, finance, marketing, and autonomous systems. Overall, this software empowers organizations to leverage data for smarter decision-making and automation. Compare and read user reviews of the best Machine Learning software for Cloud currently available using the table below. This list is updated regularly.

  • 1
    Artificio

    Artificio

    Artificio Products Inc

    Artificio offers intelligent AI Agents designed to automate and optimize complex document workflows without coding. These specialized agents handle different stages of the document lifecycle, from intake and data extraction to workflow orchestration and communication management. The AI Agents continuously learn and collaborate to improve accuracy and efficiency, making autonomous decisions on document routing and validation. Artificio’s platform integrates seamlessly with existing business systems and scales effortlessly to handle large volumes of documents. The solution is highly secure and compliant, meeting standards like ISO 27001, SOC 2, GDPR, and HIPAA. Businesses benefit from reduced manual data entry, faster processing times, and improved data accuracy.
    Starting Price: $49/month
  • 2
    Google Cloud Vision AI
    Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision API models to detect emotion, understand text, and more. Google Cloud offers two computer vision products that use machine learning to help you understand your images with industry-leading prediction accuracy. Automate the training of your own custom machine learning models. Simply upload images and train custom image models with AutoML Vision’s easy-to-use graphical interface; optimize your models for accuracy, latency, and size; and export them to your application in the cloud, or to an array of devices at the edge. Google Cloud’s Vision API offers powerful pre-trained machine learning models through REST and RPC APIs. Assign labels to images and quickly classify them into millions of predefined categories. Detect objects and faces, read printed and handwritten text, and build valuable metadata into your image catalog.
  • 3
    Butler

    Butler

    Butler

    Butler is a platform that helps developers turn AI into easy to use APIs. Create, train, and deploy AI Models in minutes. No AI experience required. Use Butler’s easy-to-use user interface to build a comprehensive labeled data set. Forget about painful labeling exercises. Butler automatically chooses and trains the correct ML model for your use case. No need to spend hours analyzing which models perform the best. With a library of features to customize, Butler enables you to tune your model to your exact requirements. Stop spending time wrestling with rigid predefined models or building homegrown custom solutions. Parse key data fields and tables from any unstructured document or image. Free your users from manual data entry with lightning fast document parsing APIs. Extract information from free form text like names, places, terms and any other custom data. Make your product understand your users the same way you do.
  • 4
    DeepNLP

    DeepNLP

    SparkCognition

    SparkCognition, a leading industrial AI company, has developed a natural language processing solution that automates workflows of unstructured data within organizations so humans can focus on high-value business decisions. The DeepNLP product uses advanced machine learning techniques to automate the retrieval of information, the classification of documents, and content analytics. The DeepNLP product integrates into existing workflows to enable organizations to better respond to changes in their business and quickly get answers to specific queries or analytics that support decision-making.
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