Description
🖼️ Tool Name:
Count (with Count AI)
🔖 Tool Category:
BI & Data Analytics Platform / Canvas-based Business Intelligence + AI assistance
✏️ What does this tool offer?
Provides a visual canvas where data teams build dashboards, reports, analytics workflows using “cells”, visuals, sticky notes, etc.
Features an AI assistant (Count AI) that helps speed up analytics by:
• Generating analyses from text prompts (you describe what you want)
• Turning sketches / mockups (canvas prompts) into actual visuals or dashboards
• Editing SQL or Python cells automatically from instructions
• Editing visuals: changing chart types, axes, labels, color scheme, etc., via prompt rather than menus
• Explaining the logic behind analysis cells (e.g. what each cell does, dependencies)
⭐ What does the tool actually deliver based on user experience?
• Enables non-technical users (beginners) to start analyses more quickly thanks to AI helping with boilerplate SQL / data cleaning steps.
• Improves efficiency for data analysts by reducing repetitive or tedious work (chart tweaks, visual adjustments, writing SQL for common tasks).
• Helps with collaboration: canvas lets teams see how metrics/visuals connect; explain-function helps others understand what’s being done.
🤖 Does it include automation?
Yes — several aspects are automated:
Auto-generation of analyses from text or sketches (canvas prompts)
Auto-editing of SQL/Python/visuals based on natural-language commands
Auto-explanation of complex cells (dependencies, logic)
💰 Pricing Model:
Subscription / seat-based pricing.
Free trial offered (14 days) for new users.
🆓 Free Plan Details:
14-day free trial.
For paid accounts, Count AI features are enabled; non-paid accounts may have limited access or later access to AI features.
💳 Paid Plan Details:
Paid seats per user. Starting price shown as $59 per seat for certain plans.
More advanced features like Count AI, greater collaboration, more scale, etc., available at higher tiers.
🧭 Access Method:
Web app via Count.co.
Requires connecting your databases or uploading data; working inside the canvas with cells, visuals, code cells (SQL / Python) etc.
🔗 Experience Link: