Best Low-Code Machine Learning Platforms Software - Page 2

H2O Driverless AI

H2O Driverless AI employs the techniques of expert data scientists in an easy to use application that helps scale your data science efforts. Driverless AI empowers data scientists to work on projects faster using automation and state-of-the-art computing power from GPUs to accomplish tasks in minutes that used to take months. With Driverless AI, everyone including expert and junior data scientists, domain scientists, and data engineers can develop trusted machine learning models. This next-generation automatic machine learning platform delivers unique and advanced functionality for data visualization, feature engineering, model interpretability and low-latency deployment.

Average Rating: 4.3/5.0

Total Reviews: 4

Actable AI

BigML

Enjoy the power of Programmatic Machine Learning

Average Rating: 4.7/5.0

Total Reviews: 24

Cascade

dAIve

dotData Enterprise

dotData Pioneered the AutoML 2.0 full-cycle data science automation platform. Fortune 500 organizations around the world use dotData to accelerate their ML and AI projects and deliver higher business value. dotData’s automated data science platform speeds time to value by accelerating, democratizing, augmenting and operationalizing the entire data science process, from raw business data through data and feature engineering to machine learning in production. With solutions designed to cater to the needs of both data scientists as well as citizen data scientists, dotData provides unmatched value across the entire organization. dotData’s unique AI-powered feature engineering delivers actionable business insights from relational, transactional, temporal, geo-locational, and text data. dotData has been recognized as a leader by Forrester in the 2019 New Wave for AutoML platforms. dotData has also been recognized as the “best machine learning platform” for 2019 by the AI breakthrough awards and was named an “emerging vendor to watch” by CRN in the big data space. For more information, visit www.dotdata.com, and join the conversation on Twitter and LinkedIn.

LONI

Neuton AutoML

Neuton AutoML is an innovative no-code platform that empowers users to build, train, and deploy highly compact and efficient machine learning models without requiring extensive programming knowledge. Leveraging a patented neural network framework, Neuton automates the entire machine learning lifecycle, enabling the creation of models optimized for deployment on resource-constrained devices such as microcontrollers (MCUs) and sensors. This approach democratizes AI development, making it accessible to businesses and developers aiming to implement machine learning solutions swiftly and effectively. Key Features and Functionality: - No-Code Model Building: Users can generate AI models through an intuitive interface, eliminating the need for specialized programming skills. - Compact and Efficient Models: Neuton produces neural network models that are significantly smaller than those generated by traditional frameworks, often achieving model sizes measured in kilobytes rather than megabytes. - Automated Workflow: The platform provides a fully automated pipeline from data upload to model deployment without requiring programming knowledge or manual hyperparameter tuning. - Fast Training on Standard Hardware: Neuton's training algorithms are optimized to run efficiently on standard CPU infrastructure without requiring expensive GPU resources. Primary Value and User Solutions: Neuton AutoML addresses the challenges of deploying machine learning models in environments with limited computational resources by generating ultra-compact models suitable for edge devices. Its no-code approach lowers the barrier to entry for AI development, enabling businesses to implement machine learning solutions without the need for extensive data science expertise. By automating the model development process and producing efficient models, Neuton facilitates faster deployment, reduces development costs, and supports real-time inference on devices with constrained resources.

Predsense

SimpliML

Squark AI

Xyzt

xyzt.ai is a high-performance, no-code location intelligence platform designed for scale. The enterprise-grade SaaS platform enables organizations to instantly visualize and analyze billions of spatio-temporal IoT and tracking records in seconds, without requiring custom data engineering or data science teams. Purpose-built for large-scale geospatial, movement, and time-series data, xyzt.ai natively supports all major data formats, including raw GPS traces, map-matched trip paths, and aggregated traffic volumes. With rapid cloud deployment completed in less than a day, users can seamlessly integrate and cross-analyze heterogeneous datasets from connected vehicles, assets, infrastructure, and environmental sensors.xyzt.ai is trusted globally across key industries to turn big data into real-time situational awareness: - Maritime & Ports: Analyze historical and live AIS data to optimize vessel traffic, improve maritime safety, and track port efficiency. - Smart Cities & Urban Mobility: Visualize floating vehicle data (FVD), floating cellular data, and traffic flows to eliminate congestion and support infrastructure planning. - Logistics & Asset Tracking: Monitor supply chain performance, evaluate asset utilization, and improve operational safety. - Sustainability: Drive green initiatives through emissions tracking, resource optimization, and environmental impact evaluation. What differentiates xyzt.ai is its unique blend of massive scale, total data privacy by design, and extreme usability. Domain experts can interactively explore billions of records, detect AI-driven anomalies, and unlock hidden trends instantly through a seamless, self-service visual analytics experience.