What is Rows AI?
Rows AI is a data analysis AI that works inside a spreadsheet environment. Users connect live data sources, upload documents, and ask questions in plain language to get answers, reports, and models. It targets teams that need to analyze data regularly but lack dedicated data engineering resources. The platform combines spreadsheet functionality with AI-driven automation to replace manual data workflows.
Features & Benefits
- AI Analyst — Takes natural language prompts and performs calculations, dataset merging, report generation, and exploratory analysis; every prompt submitted counts as one task against the monthly AI allowance
- AI Vision Document Import — Reads PDFs and images and pulls structured data into the spreadsheet; large files may consume multiple tasks depending on size
- Dynamic Model Builder — Generates functional calculators and projection models from a plain-language description, producing outputs that update like standard spreadsheet cells
- Built-in Integrations — Pulls data from advertising networks, analytics platforms, data warehouses, and back-office tools across 50+ connections; no code required; named platforms appear in the integrations card
- Data Tables — Structured tables populated by live integration data; sync cadence depends on plan, ranging from on-demand to once per minute
- Cell Enrichment — Runs integration queries at the cell or column level, enabling per-row operations such as AI sentiment scoring on individual records within a Data Table
- RowsX Browser Extension — Captures tabular data from any webpage and imports it directly into a spreadsheet
- Automated Refresh — Keeps Data Tables current by running scheduled syncs using the REFRESH() function; frequency limits vary by plan
- Report Sharing & Embedding — Outputs reports as shareable links or embeddable widgets that render across devices and can be placed inside external pages or documents
- Real-Time Collaboration — Allows multiple users to edit simultaneously, with guest access controls and workspace-level permissions
- Forms — Accepts external input through form views that write responses directly into a connected table
- Conditional Formatting, Sort & Filter — Standard spreadsheet controls for organizing and visualizing data
- SAML SSO & Custom AI Models — Available on Enterprise for organizations with identity management requirements and high-volume or custom AI needs
Real-World Applications
Marketing teams can connect paid media and organic channel tools to Rows AI and consolidate performance data into a single live report. The data analysis AI handles cross-source aggregation and metric calculation on demand, removing the need to export and reconcile data manually between platforms.
Finance and operations teams may use the document import feature to pull figures from PDFs such as invoices, contracts, or monthly statements. The data analysis AI can then construct projection models or budget trackers that recalculate as new data arrives, reducing time spent on manual spreadsheet updates.
Product and growth teams might link data warehouses or internal back-office systems to Rows and query the AI for trend summaries, user segments, or period-over-period comparisons. Because the interface accepts plain language, team members without technical backgrounds can run analysis independently.
Agencies and consultants can produce reports that stay live after delivery by embedding them in client-facing pages or documents. Scheduled data refreshes mean the underlying numbers update without manual intervention, making Rows AI a practical data analysis AI for ongoing reporting relationships.
