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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
--------
Where to find Brian Moore:
LinkedIn: https://www.linkedin.com/in/brimoor/
--------
Where to find Prateek Joshi:
Research Column: https://www.infrastartups.com
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-infinite
X: https://x.com/prateekvjoshi
By Prateek Joshi4.9
88 ratings
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
--------
Where to find Brian Moore:
LinkedIn: https://www.linkedin.com/in/brimoor/
--------
Where to find Prateek Joshi:
Research Column: https://www.infrastartups.com
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-infinite
X: https://x.com/prateekvjoshi

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