AI Biomonitoring
for Marine Sustainability
*Our AI-Driven Foraminiferal Biomonitoring system accelerates ecological research, providing stakeholders with faster, more accurate, and enhanced monitoring methods and data for addressing global environmental challenges.
We focus on developing an AI-powered species identification system
The automated system will allow researchers to process larger datasets more efficiently, enhancing the capacity for environmental monitoring and advancing ecological research efforts.
High-resolution stereomicroscopes digital images
A machine learning model for identify foraminiferal species
Global Dataset
Project Leads
Dr. Sarit Ashckenazi-Polivida
Chief Scientist
Yuli Devin
Software Developer
Shira Ansky
Head of Business Development and External Relations