Retool AI

An innovative platform made to help integrate AI functionalities into applications and workflows. With Retool AI, build bespoke AI-powered tools for your business. Retool AI builds on the core Retool low-code platform by adding AI capabilities like app generation from natural language prompts, context-aware editing, and AI agents that automate tasks. While standard Retool focuses on drag-and-drop app building with database integrations, Retool AI incorporates large language models (LLMs) to generate queries, UIs, and workflows directly on your data, making it easier for non-developers to create intelligent tools without deep coding knowledge. It's aimed at developers, data teams, operations staff, and support roles in enterprises who need to build internal apps or automate processes quickly. Companies like Amazon and Stripe use it for everything from data dashboards to customer support bots, and it's great for teams without large engineering resources, as it empowers domain experts to prototype AI features themselves. Key features include AI-powered app generation (AppGen), which creates full apps from prompts; AI agents for tasks like ticket resolution or report generation; retrieval-augmented generation (RAG) for adding your data to model calls; workflow orchestration that chains AI actions with business logic; and built-in monitoring with audit trails. It also supports any LLM provider, like OpenAI or Anthropic, and integrates with databases such as Postgres or Salesforce. It automatically enforces your organization's policies, including SSO, role-based access control (RBAC), and data-level permissions, right from the start. Apps and agents run in your secure environment, with controls over what data reaches models and full audit logs for every AI action. This makes it suitable for regulated industries like finance and healthcare, where users report it meets enterprise standards without extra setup. It connects seamlessly to over 50 data sources, including Postgres, Databricks, Salesforce, and APIs from services like Stripe or HubSpot. You can also bring in custom models or tools, and it supports dev workflows with Git integration and CI/CD. Recent user feedback highlights how easy it is to pull live data for AI-driven apps, reducing the need for manual data prep. Getting up and running is straightforward with templates for common use cases like approval workflows or data analysis dashboards, plus a visual editor that suggests components via AI. Tutorials show you can build a basic Q&A chatbot in under an hour, though some users note a short learning curve for advanced customizations. The free tier lets you experiment without commitment.