Rows is a spreadsheet-based AI data analysis platform built for business users, marketers, finance teams, and operators who need to turn raw data into readable reports without writing formulas, SQL, or code. Instead of stitching together BI dashboards and manual spreadsheet work, users ask Rows' built-in AI to extract data from PDFs, connect to live business tools, and generate models, charts, and dashboards using plain English instructions. The core workflow centers on a familiar spreadsheet interface enhanced with AI tasks, live data connections, and shareable reporting layers, making it a practical alternative to traditional spreadsheet-plus-BI-tool stacks for teams that don't have dedicated data engineers.
What it does
Rows functions as an AI-powered spreadsheet application delivered through the web (with companion iOS and Android apps) that lets users extract, import, and analyze data using natural language rather than manual formulas. It is aimed at people who regularly build reports, trackers, or dashboards from disparate sources—bank statements, PDF invoices, analytics platforms, ad accounts, CRMs, and databases—but don't want to learn SQL or wrangle VLOOKUPs. The product solves the common problem of data living in silos across dozens of tools by centralizing it inside one spreadsheet users already control, then using AI to interpret and summarize it. Typical use cases include building marketing performance reports, financial trackers pulling from bank accounts, social media follower and engagement dashboards, and website data scraped directly from tables via a browser extension.
Key capabilities
- AI-driven data extraction: Pulls structured data out of PDFs and unstructured documents using plain-language prompts instead of manual data entry.
- 50+ built-in integrations: Connects to social media platforms, data warehouses, advertising platforms, analytics tools, back-office systems, and bank accounts without custom code.
- RowsX browser extension: Turns any website table into usable spreadsheet data with a single click, useful for competitive research or market data collection.
- Automated data refresh: Keeps connected data sources in sync on a schedule ranging from every minute to monthly, depending on the plan.
- AI-built models and calculators: Users can ask the AI to construct dynamic spreadsheet models and calculators from scratch rather than building formulas manually.
- Embeddable, shareable reports: Finished dashboards and reports can be shared or embedded in tools like Notion, websites, or blog posts while staying connected to live data.
Pricing
Rows uses a freemium pricing model with four tiers: Free, Plus, Pro, and Enterprise. The Free plan includes a limited number of monthly AI tasks, manual data imports, and integrations for up to 10 accounts with a small number of guest seats. The Plus plan is billed per user (listed at $8/month per user monthly, or a discounted annual rate) and increases AI task allowances, adds daily data automation, and expands guest access. The Pro plan adds a base monthly fee plus per-user pricing, minute-level data automation, support for up to 100 integration accounts, and video support. Enterprise pricing is custom and adds advanced API access, custom AI models and integrations, SAML SSO, and a dedicated customer success manager. Note that Rows has joined Superhuman, which may affect future account and billing flows. Pricing page: View pricing
Editorial review
Rows differentiates itself from generic spreadsheet tools by pairing a familiar grid interface with genuine AI-driven automation for data extraction and modeling, rather than simply bolting a chatbot onto existing spreadsheet functions. The breadth of native integrations—spanning social platforms, ad accounts, bank feeds, and data warehouses—stands out relative to typical no-code reporting tools, and the RowsX website-scraping extension adds a practical research capability many competitors lack. The tiered AI task limits (5/month on Free, scaling up through Plus and Pro) mean casual users can test the product but will likely need to upgrade quickly for regular use, especially in automated, high-frequency reporting scenarios. Teams evaluating Rows should weigh the per-user pricing structure on paid tiers, which can add up for larger teams compared to flat-fee BI tools. The product is best suited for small-to-midsize business teams, marketers, and finance-adjacent roles that need recurring, shareable reports without hiring a data analyst or writing SQL. It is less likely to satisfy organizations needing deep statistical modeling, complex data pipelines, or enterprise-grade governance beyond what the Enterprise tier offers. Overall, Rows reads as a credible, workflow-specific tool rather than a broad BI replacement, with its value concentrated in document extraction, live multi-source reporting, and approachable AI-assisted spreadsheet building.
