Road Map

Quarter 1

  • Launch MVP with core workflow builder, basic AI agents, integration, and collaboration capabilities
  • Implement user management, organization, permissions, and sharing features
  • Add text, image, video, PDF, and web ingestion data sources
  • Provide workflow templates for common use cases like data extraction, NLP, image tagging
  • Release Chrome extension for simplified web page data ingestion

Quarter 2

  • Expand AI agents for sentiment analysis, entity extraction, object detection, face recognition
  • Introduce data preparation agents for cleaning, transforming, and shaping datasets
  • Add data destination actions for SQL databases, cloud storage, email, Slack
  • Launch mobile app for monitoring workflows and organization management
  • Begin public API documentation for custom integration and automation

Quarter 3

  • Develop reporting, visualization, and dashboarding building blocks
  • Introduce workflow scheduling, notifications, and alerts
  • Formalize partnerships with complementary AI providers to distribute agents
  • Build more pre-packaged industry-specific workflow templates
  • Create community forum for users to share workflows, snippets, and advice

Quarter 4

  • Enable packaged workflows to be listed and sold in a marketplace for added monetization
  • Implement collaboration features like comments, task assignments, and change tracking
  • Develop additional access control capabilities for row-level permissions
  • Release Python notebook-style building block for custom scripting
  • Expand docs and learning center with videos, sample workflows, and guides
This covers some of the higher priority items we would focus on in the first year. The roadmap would evolve based on user feedback, market needs, and resourcing.