AutoML & Enterprise Platforms
8 platformsBigML
Machine learning made beautifully simple — build, evaluate, and deploy predictive models without wrestling with infrastructure or a data science team.
DataRobot
An enterprise AI and agent workforce platform that automates the path from raw data to production-grade predictive and agentic AI applications.
Microsoft Azure Automated ML
Automatically build machine learning models with speed and scale inside Azure Machine Learning, with no-code UI and SDK options.
Google Cloud AI Platform (formerly AutoML)
Train high-quality custom machine learning models with minimal ML expertise — AutoML's capabilities now live inside Google's unified agent and model platform.
H2O AutoML
Open-source AutoML that trains and evaluates a wide range of models automatically, with a no-code web GUI alongside R and Python interfaces.
RapidMiner (Siemens)
An end-to-end enterprise AI and analytics portfolio unifying data preparation, machine learning, knowledge graphs, and agentic AI.
Dataiku
A unified platform for building, governing, and scaling AI agents, machine learning models, and analytics across the enterprise.
Pecan AI
A conversational predictive AI agent — ask a business question in plain English and get a validated forecast, no data science team required.
Vision & Creative AI
6 platformsRunwayML
Began as a no-code toolkit for creative ML experimentation; has since grown into a foundation-model company building general world models for video and simulation.
Clarifai
The fastest way to transform unstructured image, video, text, and audio data into actionable insights, with no-code model workflows.
Roboflow
With a few images, train a working computer vision model in an afternoon — annotation, training, and deployment tools for developers and enterprises.
Viso.ai
Viso Suite provides one integrated, no-code suite of tools to rapidly develop, deploy, and operate computer vision applications at enterprise scale.
Create ML (Apple)
An entirely new way of training ML models on Mac — Create ML takes the complexity out of model training while producing powerful Core ML models.
Teachable Machine
A web-based tool from Google that makes creating machine learning models fast and easy — train image, sound and pose models with no code.
Data & Business Automation
5 platformsZams (formerly Obviously AI)
AI workers that automate research, CRM updates, and reporting across your business apps — no code, and no workflows to maintain.
SuperAnnotate
Human-in-the-loop data annotation and evaluation pipelines that turn raw multimodal data into AI-ready training datasets, at speed.
Nanonets
AI agents that automate document-heavy business processes — accounts payable, claims processing, order management — without writing code.
Levity
Reliable AI automation for logistics operations — turning high email volumes and documents into structured, actionable workflows.
Aito
A predictive database that returns instant, calibrated predictions from your own live data in one query — no model training required.
Developer Libraries & No-Code Tools
2 platformsPyCaret
An open-source, low-code machine learning library in Python that automates machine learning workflows end to end.
Auto_ViML
Automatically build multiple, interpretable ML models with a single line of code — open source on GitHub. The GitHub repository's last commit was in January 2025, so check its activity before adopting it.