Ersilia is a tech non-profit organization focused on using artificial intelligence and machine learning to support drug discovery for infectious and neglected diseases, particularly in low- and middle-income countries. It develops open-source scientific tools that help researchers identify and evaluate potential treatments more efficiently, reducing the time and cost required for experimental drug development.

At the core of Ersilia’s ecosystem is the Ersilia Model Hub, a large open repository of pre-trained AI/ML models used in biomedical research. These models cover areas such as molecular property prediction, toxicity estimation, antimicrobial activity prediction, and generative chemistry. Researchers can run these models locally or via cloud-based tools to support real-world drug discovery workflows.

The organization operates as an open science foundation, working with research institutions, universities, and laboratories across the Global South. It also runs training programs and capacity-building initiatives to help scientists adopt AI tools and improve local research infrastructure.

Ersilia is positioned as both a research software ecosystem and a global health initiative, combining open-source development with scientific collaboration to address diseases that are often underfunded in mainstream pharmaceutical research.

Key features include:

• Open-source AI/ML platform for drug discovery
• Ersilia Model Hub with 180+ pre-trained biomedical models
• Tools for molecular property, toxicity, and bioactivity prediction
• Local and cloud-based model inference support
• Open science collaboration with global research institutions
• Training programs for researchers in low-resource regions

Common use cases include:

• Drug discovery research, predicting molecular activity
• Evaluating drug safety properties
• Supporting infectious disease research
• Building computational chemistry workflows
• Rraining scientists in AI-driven biomedical methods