Brian Moore is CEO of Voxel51, a data infra platform for visual AI. They most recently raised a $30M Series B led by Bessemer.
Brian's favorite books: Trillion Dollar Coach (Author: Eric Schmidt, Jonathan Rosenberg, and Alan Eagle)
(00:01) Introduction and setup (00:22) Defining visual AI — beyond traditional computer vision (02:14) Why visual data is so hard to manage (04:17) Common “gotchas” in image and video datasets (06:43) Is it a data problem or a model problem? (09:41) The importance of edge cases and scenario analysis (10:46) Coverage and handling rare events in datasets (13:35) Using synthetic data and foundation models to fill data gaps (14:25) The origin story of Voxel51 and the birth of FiftyOne (17:56) Open source strategy and community growth (19:31) Handling massive visual datasets — storage best practices (22:03) Cost vs. quality tradeoffs in video storage (23:54) Cleaning and indexing messy datasets (25:49) Measuring real progress — beyond simple metrics (27:40) Compute bottlenecks and faster iteration loops (30:05) The economics of data infrastructure (31:53) Labeling inefficiencies and smarter annotation workflows (33:56) Hidden costs of data wrangling and wasted engineering time (35:10) Positioning Voxel51 and lessons for founders (37:53) The future of visual AI and missing industry standards (40:36) Rapid Fire Round
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