Demo
presented on July 25, 2025
Most analytics tools were built for machine data. AddMaple is built for human data - survey results, customer reviews, churn feedback, support tickets. The messy, real-world inputs that explain why things happen. We’ve never had more data about our customers: surveys running, reviews piling up, support logs and forums overflowing. And yet it’s still hard to know what matters, or why key metrics shift.
In this showcase, you’ll see how analysts, researchers, product teams, and agencies use AddMaple to skip the prep and get straight to insight. Drop in a CSV or SAV file and see charts, tables, themes, and key drivers for every variable in seconds - ready to share. Clients and stakeholders can explore the data too, no viewer licenses needed. All calculations are performed by AddMaple’s proprietary stats engine, while its LLMs work within a set framework for accurate results. This blend of accuracy and efficiency is what made AddMaple the 2025 winner of Paddle's AI LaunchPad Competition. Now anybody can uncover patterns across quant and qual data, with multi-language text coded into traceable, color-highlighted themes. Use your framework if you prefer. No code. No uploads. No delay. Just fast, transparent insight - used by Superstruct, Specialized, Sunbelt Rentals, etc. Teams are switching from Tableau and DisplayR - see why in this showcase.
Presented by:
LOCATION
Ljubljana, Slovenia