video1.0<iframe src="https://www.loom.com/embed/e6897fc4226c4c26a103daec00980204" frameborder="0" width="1470" height="1102" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>11021470Loomhttps://www.loom.com11021470https://cdn.loom.com/sessions/thumbnails/e6897fc4226c4c26a103daec00980204-45d0dc06d355ff6a.gif277.884This Loom explains how Vela AI helps life science field reps identify and prioritize researchers and grants using live funding and publication data. It demonstrates an account overview for the University of Washington, pulling 625 researchers and 1010 grants from the last two years, with visualizations like heat charts and radar to show trending keywords and techniques such as immunology, cancer, and virology. Viewers can click into any researcher for full profiles including active grants with dollar amounts and expiration dates, recent publications with extracted keywords, and co-investigators. The platform also links individuals into a networking map and supports enriching and tracking profiles over time.