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Retool

Platform for building AI-powered apps, workflows, and intelligent agents with enterprise security
Developer tools
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Retool

DEVELOPER
Retool
WEBSITE
SOCIAL
NETWORKS
SUPPORTED
PLATFORMS
STARTING PRICE
Free
FREE TRIAL
Yes
PRICING TYPE
Free, Freemium, Subscription
CARD REQUIRED
BEST FOR
Business
SUPPORTED
LANGUAGES
EN
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AI TEHNOLOGIES
Description

Retool provides a comprehensive platform for developing AI-powered business applications, automated workflows, and intelligent agents on top of enterprise data infrastructure. The platform enables teams to build custom AI apps directly on live production data sources including Postgres, Databricks, Salesforce, and other systems, with apps automatically scaffolded based on real schemas, roles, and permissions. Context-aware editing allows developers to prompt changes by selecting components, mentioning resources, or targeting specific parts of applications, with all edits grounded in full app context.

The platform supports multi-step AI workflow orchestration, chaining together AI actions, data transformations, and business logic with built-in monitoring and audit trails for every execution. Organizations can deploy intelligent AI agents that handle customer support, data analysis, content generation, and other processes by automating reasoning over live data sources with appropriate guardrails for responsible access control. All AI-generated solutions inherit existing organizational policies including SSO, RBAC, and data-level permissions by default without manual configuration.

Retool offers one-click RAG capabilities to add contextual data to model calls, extends support for any model provider including direct access to OpenAI, Anthropic, Google, cloud service providers like AWS and Azure, or custom models. The platform provides enterprise-wide governance with platform APIs, independent workspaces for team management, and deployment flexibility through both cloud-hosted and self-hosted options. Companies can build and deploy production-ready AI applications in minutes with built-in hosting, versioning, and monitoring while maintaining full audit trails and security compliance.

Use cases
  • Build AI-powered customer support agents that understand knowledge bases, customer history, and business policies
  • Create data analysis dashboards with natural language queries that generate interactive visualizations without SQL
  • Automate approval workflows with intelligent routing based on business rules and risk factors
  • Generate automated reports that pull from multiple data sources and produce formatted insights on schedule
  • Develop internal search tools with AI-enhanced discovery across databases, documents, and applications
  • Build process automation workflows that adapt based on context and handle exceptions intelligently
  • Deploy production-ready apps on live data with automatic schema, role, and permission scaffolding
  • Orchestrate multi-step AI workflows combining actions, data transformations, and business logic
  • Create custom AI agents that automate reasoning and work across business systems with guardrails
  • Implement RAG capabilities to extend deep context into AI components and workflow steps
  • Generate full-stack applications using prompts on production data from Postgres, Databricks, and other sources
  • Develop context-aware applications with visual selection and resource mention for direct component editing
Features
Production-ready app generation, Context-aware editing, Multi-step workflow orchestration, AI agents deployment, One-click RAG, Built-in monitoring and audit trails, Granular security controls, Custom model support, Independent workspaces, Cloud and self-hosted deployment

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