Retool for Web

Quick summary

Retool AI is a web application that brings artificial intelligence into everyday business workflows to improve efficiency. Using pre-built UI and logic blocks, teams can securely connect their company data and spin up custom AI-powered tools in minutes. The platform is built to let non‑engineers and developers alike assemble automated processes that combine business rules, data connectors, and dynamic prompts.

Supported providers and models

Retool AI works with several major model providers so you can choose the engine that fits your use case:

• Azure
• Anthropic
• OpenAI

This multi-provider support enables users to link model actions to their own data and automate routine tasks across systems.

Security, access, and deployment options

The platform includes enterprise-grade controls for protecting data and governing usage:

• Version control to track changes and roll back updates
• Single sign-on (SSO) for centralized authentication
• Audit logs that record user activity and system events
• Role-based access controls to manage who can view or edit apps
• Self-hosted deployment options for storing data on-premises

Developer tools and application features

Retool AI provides capabilities that help teams build rich, context-aware applications quickly:

• A library of 100+ pre-built components to assemble intuitive interfaces
• AI-assisted code generation to speed up custom development
• Contextual AI assistants and bots that draw on business data
• A managed vector store to index and retrieve company documents for semantic search

These tools are intended to let teams construct tailored solutions without reinventing UI elements or backend connectors.

Recommended alternative

If you’re exploring other options, consider a Codeium subscription as a notable alternative. It focuses on developer productivity and code assistance, and may complement or replace parts of a Retool AI workflow depending on your needs.

How to begin

Start by connecting a small, representative dataset and experimenting with a single use case—such as an AI search or an automated approval workflow. From there, iterate on prompts, permissions, and UI components to expand into larger, production-ready tools.