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Online database-design tool with sample schemas and an AI generator to explore, modify or build database structures visually.
Enterprise AI agent platform for building, deploying, and governing no-code agents across company knowledge and workflows.
Low-code integration platform for connecting thousands of APIs into workflows and AI agents, including an MCP tool server.
Vibe-coding builder creating full-stack apps by chatting with AI.
AI app builder turning English prompts into full-stack apps with provisioned DB, auth and hosting; also hosts autonomous agents.
No public pricing
Free trial available
No public pricing
- ✦Library of sample database designs
- ✦Visual database designer / diagram tool
- ✦AI database generator
- ✦Modify and optimize existing schemas
- ✦SQL script export
- ✦Dialect converters (MySQL/PostgreSQL/MSSQL)
- ✦No-code visual agent builder
- ✦Company knowledge search across docs and wikis
- ✦Scheduled and recurring agent automations
- ✦Model-agnostic access to major AI models
- ✦Browser extension integration with 30,000+ apps
- ✦Data analysis of spreadsheets and reports
- ✦Enterprise SSO/SCIM/SAML and dedicated deployment
- ✦Visual and code-based workflow builder
- ✦Prebuilt AI agent builder and deployment
- ✦Managed authentication across thousands of apps
- ✦MCP server exposing integrations as agent tools
- ✦Scheduled and event-triggered workflows
- ✦Connect SDK for embedding integrations into other products
- ✦CodeFlying enables full-stack app creation via chat in minutes
- ✦Natural-language full-stack app generation
- ✦Auto-provisioned Postgres, auth, storage and hosting
- ✦Full code ownership with GitHub export
- ✦Managed hosting for autonomous AI agents
- ✦200+ bundled AI models
- ✦MCP and CLI tooling
- →Finding a starting schema for a project
- →Designing a database visually
- →Generating a schema with AI
- →Converting between SQL dialects
- →Automating recurring reports and workflow tasks
- →Searching internal company knowledge with AI agents
- →Deploying AI copilots for sales, support, or legal teams
- →Running enterprise AI with strict data governance requirements
- →Building AI agents that call external APIs and tools
- →Automating cross-app workflows such as Slack, Gmail, or Sheets notifications
- →Embedding third-party integrations into a SaaS product
- →Prototyping event-driven automations without heavy infrastructure
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- →Ship a SaaS without an engineering team
- →Build internal tools from a description
- →Deploy always-on AI agents quickly
- →Provide infra for AI-coded apps