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DAGForge

Generates production-ready Apache Airflow DAGs from natural language or visual design, with validation and deployment to existing Airflow.

dagforge.comData EngineeringNov 2025Calgary, Canada1-10Anvtek

This product is an AI-powered development tool that generates Apache Airflow DAGs from natural language descriptions or visual drag-and-drop design, solving the problem of slow, error-prone manual DAG coding. It targets data engineering teams, platform teams, and analysts in companies of various sizes, from startups to enterprises, who use Airflow for data pipelines. It is positioned as a faster alternative to manual coding, with AI enforcing best practices, built-in validation, and integration with existing Airflow deployments, ensuring no platform lock-in.

Key features

  • AI-powered DAG generation from natural language
  • Visual drag-and-drop workflow design
  • AST-based validation for Airflow compatibility
  • Built-in error handling, retries, and alerts
  • Readable Python code output
  • Integration with Git repo or DAGs folder
  • SOC 2, ISO 27001, PCI DSS certified
  • RBAC, SSO, and audit logs
  • No social media activity within the last 30 days
GTM channels
  • Blog
  • API
  • Docs
ICP
  • Data analytics teams
  • Engineering teams
  • Software developers