Webinar: Breaking Data Silos – From static documents to living data

This webinar demonstrates how computer vision and domain-specific AI unlock chemical “dark data,” transforming static literature, patents, and notebooks into interoperable, AI-ready research assets.

In the physical sciences, critical R&D knowledge remains trapped in a vast array of static formats—ranging from handwritten lab notebooks and internal company reports to academic literature and patent filings. This fragmentation creates data silos that hinder innovation and prevent the deployment of modern digital tools.

In this webinar, Data Revival will demonstrate how advanced computer vision and domain-specific AI can transform this “dark data” into living, interoperable assets. We will showcase our specialized Optical Chemical Structure Recognition (OCSR) technology, which is uniquely capable of interpreting the full spectrum of chemical representations: standard printed molecules, complex Markush structures found in intellectual property, and hand-drawn structures from legacy notebooks.

Attendees will see this technology applied in real-world scenarios, including the creation of comprehensive reaction databases from thousands of Organic Process Research & Development (OPRD) papers , the systematic parsing of patent landscapes, and the automated extraction of historical notebook data to populate modern Electronic Lab Notebooks (ELNs). Join us to learn how we bridge the gap between static archives and AI-ready infrastructure.