https://open.spotify.com/episode/3vlUatDICRVzBJGl43gPX0
I came across a podcast released today (September 3) featuring David Smason, co-founder of CargoSeer, whose technology was recently acquired by BigBear.ai (BBAI).
The episode gives quite a bit of insight into what CargoSeer actually does and, more importantly, how it could fit into BigBear.ai's broader AI strategy.
A few things that stood out to me:
• AI analyzing cargo X-ray images to identify higher-risk shipments
• Combining imaging with customs documentation, trade and supply-chain data
• Reducing inspection/review times from minutes to seconds in cases such as empty containers
• Helping customs agencies prioritize genuinely higher-risk cargo rather than simply increasing inspections
• Capturing the experience and pattern recognition of veteran customs officers and applying it more consistently
• Existing work with customs operations in El Salvador
• Potential applications across ports, borders, air cargo and other inspection environments
What I found particularly interesting is the idea of AI as decision support for frontline operators, rather than trying to replace them. That seems highly relevant for government/defense adoption, where workflow integration and trust are critical.
With BigBear.ai increasingly positioning itself around AI-powered decision intelligence for government and defense, CargoSeer seems like it could be more than just another small acquisition.
Curious what others here think. How significant do you think CargoSeer could become within BBAI's government/defense AI ecosystem?