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Visual Builder Directory

No-Code AI Development Platforms

A hand-verified directory of no-code and low-code platforms for building AI applications — from enterprise AutoML suites to computer-vision builders and business-automation agents. Every listing below was checked live; dead links were removed and rebrands were relabeled with a note.

21Platforms Listed
4Categories
AutoML & Enterprise Platforms Vision & Creative AI Data & Business Automation Developer Libraries & Tools

AutoML & Enterprise Platforms

8 platforms
01 · PLATFORM

BigML

Machine learning made beautifully simple — build, evaluate, and deploy predictive models without wrestling with infrastructure or a data science team.

02 · PLATFORM

DataRobot

An enterprise AI and agent workforce platform that automates the path from raw data to production-grade predictive and agentic AI applications.

03 · PLATFORM

Microsoft Azure Automated ML

Automatically build machine learning models with speed and scale inside Azure Machine Learning, with no-code UI and SDK options.

04 · PLATFORM

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.

05 · 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.

06 · PLATFORM

RapidMiner (Siemens)

An end-to-end enterprise AI and analytics portfolio unifying data preparation, machine learning, knowledge graphs, and agentic AI.

07 · PLATFORM

Dataiku

A unified platform for building, governing, and scaling AI agents, machine learning models, and analytics across the enterprise.

08 · PLATFORM

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 platforms
09 · VISION

RunwayML

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.

10 · VISION

Clarifai

The fastest way to transform unstructured image, video, text, and audio data into actionable insights, with no-code model workflows.

11 · VISION

Roboflow

With a few images, train a working computer vision model in an afternoon — annotation, training, and deployment tools for developers and enterprises.

12 · VISION

CrowdAI

Enables organizations of all sizes to unlock the value hidden in their growing volume of images and video, without an advanced ML background.

13 · VISION

Viso.ai

Viso Suite provides one integrated, no-code suite of tools to rapidly develop, deploy, and operate computer vision applications at enterprise scale.

14 · VISION

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.

Data & Business Automation

5 platforms
15 · AUTOMATION

Zams (formerly Obviously AI)

AI workers that automate research, CRM updates, and reporting across your business apps — no code, and no workflows to maintain.

16 · AUTOMATION

SuperAnnotate

Human-in-the-loop data annotation and evaluation pipelines that turn raw multimodal data into AI-ready training datasets, at speed.

17 · AUTOMATION

Nanonets

AI agents that automate document-heavy business processes — accounts payable, claims processing, order management — without writing code.

18 · AUTOMATION

Levity

Reliable AI automation for logistics operations — turning high email volumes and documents into structured, actionable workflows.

19 · AUTOMATION

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 platforms
20 · LIBRARY

PyCaret

An open-source, low-code machine learning library in Python that automates machine learning workflows end to end.

21 · LIBRARY

Auto_ViML

Automatically build multiple, interpretable ML models with a single line of code — open source on GitHub, actively maintained.