Transforming Scientific Literature into Structured Data

Extralit is an open-source platform that tackles one of the biggest bottlenecks in evidence-based research: extracting structured data from scientific literature.

The Problem We're Solving

Researchers conducting systematic reviews and meta-analyses currently spend 6-12 months manually extracting data from hundreds of papers. This process is error-prone, inconsistent, and enormously time-consuming, slowing down critical research in public health, medicine, and climate science.

Our Approach

We combine AI-powered document intelligence with human validation workflows to extract complex scientific data with high accuracy. Researchers define exactly what data they need, our specialized ML models handle the extraction, and domain experts validate the results through our collaborative interface.

Why Sponsor Us?

Your sponsorship directly supports:

• 🧠 Development of specialized ML models for scientific document understanding
• 🔧 Improvements to our open-source extraction pipeline
• 📝 Better schema-driven extraction tools for domain experts
• 🌐 Expanded documentation and tutorials

With your help, we can accelerate scientific progress by giving researchers the tools to convert literature into actionable data in weeks instead of months.

Join us in making scientific knowledge more accessible and actionable!

Our Impact

We're already helping teams at the Gates Foundation reduce systematic review time by 3x while maintaining research-grade accuracy. Help us expand this impact to academic institutions, public health organizations, and research teams worldwide.