DataBelly is the AI-native database where smart columns compute, agents research and enrich, and your tables become living systems — not just rows and columns.
Not AI bolted on. AI built in — from the field type up.
Five AI-native field types — Classifier, Extractor, Summarizer, Sentiment, Fill — that compute values using natural language prompts instead of formulas.
Every AI-computed value is attributed: who produced it, when, which model, which prompt. Trust through transparency.
Smart columns feed into each other. An extractor finds a company name, a classifier scores it, an agent enriches it. The table IS the workflow.
Deploy AI agents that research, enrich, and maintain your data around the clock. Set a mission, grant tools, watch them work.
No JSON schemas. No temperature sliders. Just describe what the column should compute in plain English.
When AI fails, the cell shows the error. One-click retry. No hidden failures, no silent corruption.
Each smart column type turns natural language into computed intelligence.
Deploy autonomous AI workers with a mission, tools, and a schedule. They research companies, monitor competitors, clean data, and extract action items — leaving a full audit trail of every action.
Lead Researcher, Content Monitor, Data Janitor, Meeting Follow-up. Start in one click.
Read tables, write cells, create rows, search, web search, web fetch, send notifications.
Run on schedule, on row creation, on row update, or manually.
Every tool call logged. Every cell write attributed. Replay any run.
Teams use DataBelly to put their data to work across every function.
Auto-research leads, score them with AI, enrich contact data — without lifting a finger.
Monitor competitor blogs, auto-summarize articles, track trends across your market.
Let the Data Janitor agent find duplicates, fill missing fields, and flag inconsistencies.
Classify feature requests by sentiment and theme. Prioritize what matters.
Start free. Add AI columns in seconds. Deploy your first agent in minutes.
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