Turn data into a verified data story

Add a brief (and optionally a CSV/JSON/Parquet file — profiled privately in your browser), then generate. You will see each council worker as it works.

About the studio

Data Visualization StudioAI Data Visualization and Chart Design

BeforeTomorrow Data Visualization Studio transforms complex data into compelling visual stories. AI agents select optimal chart types, color palettes, and annotation strategies. Supports bar, line, scatter, treemap, sankey, and custom visualizations.

How does BeforeTomorrow Data Visualization Studio work?

Data Visualization Studiouses BeforeTomorrow's domain engineering approach: rather than a generic AI prompt, it deploys specialized agents trained in the creative and visual design domain. When you submit a brief, Claude Opus 4.6 handles creative judgment while Sonnet 4.6 manages intelligence extraction — together producing professional output tailored to your specific requirements and industry context.

Unlike Canva or Figma templates, every Data Visualization Studio output is uniquely generated from scratch — adapting to your industry (across 140+ supported industries), audience, and specific goals. No two outputs are identical because the AI composes each piece individually rather than filling a template.

Data Visualization Studio at a glance

Category
Creative & Design
AI
Claude Opus 4.6 + Sonnet 4.6
Platform
48 studios total on BeforeTomorrow
Industries
140+ with domain-specific knowledge
Pricing
Pay-per-generation from $3
Output
Unique per generation (no templates)
Data
EU residency (AWS Bedrock)
Rights
Full commercial usage included
Related
Infographic Studio, Dashboard Studio, Financial Studio, Research Studio
Subscription
Not required

Frequently asked questions about Data Visualization Studio

What chart types?

Bar, line, scatter, pie, treemap, sankey, sunburst, radar, waterfall, heatmap, and custom visualizations — AI selects optimal type for your data.

Can I provide raw data?

Yes. CSV, JSON, or described datasets. AI analyzes patterns and selects the most effective visualization approach.

Last updated: June 2026