Stackby AI

Users can create AI-powered columns that automatically generate content for each row based on existing data enriching a contact database with company descriptions scraped from websites, generating product descriptions from specifications, summarizing customer feedback from raw text fields, or classifying records by category from their content.

This AI column capability turns Stackby from a passive data storage tool into an active data enrichment engine that continuously improves the value of stored information.

Stackby AI's automation features allow teams to trigger AI actions based on data changes when a new record is added, AI can automatically populate summary fields, send notifications with AI-generated context, or update related records in connected tables.

This event-driven AI automation extends the no-code workflow capabilities that make Stackby accessible to non-technical teams while adding the intelligence layer that separates AI-native tools from traditional no-code databases.

Custom AI formula functions allow advanced users to define their own AI-powered calculations that can be applied consistently across all records in a table.

For teams using Stackby to manage CRM data, project tracking, content calendars, and operational databases, Stackby AI reduces the manual data entry, research, and classification work that keeps these databases valuable but requires significant ongoing maintenance effort.

A sales team might use AI columns to automatically enrich lead records with company size, industry, and technology stack information; a content team might use AI summaries to maintain an always-current editorial brief for each topic; a product team might use AI classification to automatically tag customer feedback with relevant feature areas.