

Join the Shiny Community every month at Shiny Gatherings
up to 3200% faster than manual classification - go from weeks of data processing to hours!
drastically lower costs of labeling large datasets - achieve better results with fewer resources!
automate biodiversity monitoring with up to 96% accuracy - quickly identify and respond to threats to biodiversity
Leverage state of the art Machine Learning
Designed for remote locations (works offline)
Optimized for Windows and legacy hardware
Appsilon’s Data for Good program combines our technical expertise in machine learning and data science, and expert knowledge of sustainability with a burning passion we share towards projects that have a meaningful, positive impact on our planet.
Appsilon’s Data for Good efforts have been widely recognized in international media. Our Mbaza AI computer vision project, created in collaboration with the University of Stirling and The National Parks Agency of Gabon (ANPN) to help preserve animal populations in Africa, was featured in Euronews, The Independent, The Guardian, and other notable outlets.
Source: www.theguardian.com
Learn moreSource: www.euronews.com
Learn moreSource: www.independent.co.uk
Learn moreAppsilon's ML Team leverages its skillset by using AI to assist wildlife conservation efforts in Gabon.
As part of our D4G Initiative and with the support of a Google grant, Appsilon Data Science will be contributing to to the work of biodiversity conservationists at the National Parks Agency in Gabon in collaboration with the University of Stirling.
Mbaza Shiny App, the interactive data explorer interface for visualizing biodiversity datasets from camera trap footage analyses. Developed with 💙 by Appsilon
Automatic image capturing of animals is becoming the gold standard in biodiversity conservation. Learn how our ML models speed up the process.