Description
Columns AI is a data automation platform that helps teams clean data, automate workflows, and build compelling visual stories without an engineering team. It is built around three products: Columns Drive extracts clean, structured data from messy files like CSVs, PDFs, Excel, and images; Columns Flow connects sources and applies transformations described in plain language; and Columns Graph turns structured data into beautiful, brand-matched visuals you can embed live, export, or share as dashboards.
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The platform connects with the tools teams already use, so data flows in automatically without manual syncing, and once set up, insights, dashboards, and graphs update automatically on a schedule. You can describe what you need in plain English and Columns builds the flow logic, get notified when something happens such as a spike or threshold crossing, and personalize visuals to match your brand.
Columns AI is designed for analysts, operators, founders, and any team that touches data, and is used by 12,000+ people. Pricing is usage-based: a free Basic plan with no base fee that charges per 1,000 rows processed, plus Premium and Elite tiers with flat monthly fees and progressively lower per-row rates, along with custom enterprise pricing.
- CategoryAI Data Analysis
- Pricing ModelFreemium
- DeploymentCloud
- PlatformsWeb
Columns AI's Core Features
Clean structured data from messy files (Columns Drive)
Plain-language data flow building (Columns Flow)
Brand-matched visuals and dashboards (Columns Graph)
Automatic data syncing from connected tools
Scheduled auto-updating insights and dashboards
Alerts for spikes, drops, and thresholds
Images and PDFs converted into data
Usage-based pricing per rows processed
How to use Columns AI?
Connect or drop data: Import from your tools or drop messy files into Drive.
Build a flow: Describe transformations in plain language.
Create visuals: Turn structured data into branded charts and dashboards.
Automate: Set it once and let insights update on your schedule.
Columns AI's Use Cases
- Data cleaning
- Workflow automation
- Data storytelling
- Monitoring and alerts
