Survey lag
Primary measurement studies are expensive and slow. Most early design loops cannot wait for a new campaign.
Humanform
Make human scale available as infrastructure
Design teams should not need a survey program every time they ask how a body fits a product, space, or system.
The problem we care about
Fit decisions still rely on limited samples, outdated tables, or one-off spreadsheets that do not travel with the team.
Fragile workflows
Anthropometric knowledge gets trapped in PDFs and private sheets, then rebuilt when the next program starts.
Uneven accommodation
Without clear percentile and population targets, products and environments quietly exclude the people they claim to serve.
What we are building
Humanform is an anthropometric predictions API. Request body dimensions from age, percentile, gender, and country, then use the same catalog in docs, scripts, MCP, CLI, Sheets, and Excel.
148
Measurements in the catalog
176
Countries for population mix
1–99
Percentile design targets
1–88
Age span across life stages
How we work
API-first
Predictions should land where design and engineering already happen, not only in a marketing demo.
Honest limits
Model-based population predictions accelerate early decisions. Critical systems still need standards, testing, and primary data when required.
Industry context
The same catalog should serve apparel, automotive, defense, healthcare, architecture, and research, with language that matches each domain.
Build with human scale
Start free with 10 predictions a day, then scale with credits when your workflow is ready.