How AI Is Transforming Geospatial Intelligence
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AI reduces chart production from hours to minutes
Human analysts remain central to quality assurance
RAVe achieves over 99.99% first-time-right accuracy
The technology is expanding beyond maritime mapping
When most people think about maps, they think about directions on their phone. But the U.S. Navy and other commercial vessels rely on charts and maps to show exactly what is in the vast ocean.
It's a matter of critical safety: a navigation error at the wrong location means a collision at sea or running aground. And the volume of that maritime data is growing faster than any team can maintain.
In the second episode of Outcomes UnlockedThe tool at the center of the story is RAVe
Why AI is essential for modern geospatial intelligenceThis was never just a workflow problem. The world geographically is always changing, and the volume of geospatial data is vast, often unverifiable and challenging to review with the naked eye. Yet military commanders and the Intelligence Community (IC) analysts who support them need data they can trust, and they need it quickly. Solving that at a global scale is exactly where AI and automation come in.
AI-powered geospatial intelligence resultsThe transformation, by the numbers:
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~50% reduction in touch labor - work that was unattainable through manual production
Over“ four nines” (99.99%) accuracy, first-time-right, using automation
What once took up to 40 hours now takes minutes
Leidos set out to automate the most repetitive part of that work – training AI to read charts and convert their features into validated vector data. When the team ran their first chart through the RAVe software, they were blown away – not just by the speed, but also by the accuracy.
Realizing this could be done at scale was the moment they knew it could change the way the work gets done.
How AI helps geospatial analysts work faster and smarterJust as important as the speed is what RAVe frees analysts to do.
Instead of manually clicking through tens of thousands of features, they can focus on the higher-value analysis that drew them to the work in the first place. Analysts take pride in work that is finally focused on judgement rather than the mundane. And that human judgment is not going away. AI gives analysts a powerful tool to have in their arsenal, but the data delivered to the customer will always depend on human discernment - that part will never be replaced.
What's next for AI-powered maritime mapping and navigationRAVe is only the beginning. The team is already extending it beyond maritime charts toward validation against real-world imagery - electro-optical and infrared data from satellites, aerial photography and point-cloud data - and toward broader geospatial applications across aeronautical and geographic missions.
The world is moving at an incredible pace, but so is our ability to understand it. And in the end, this work exists for one reason: to deliver accurate, current data that helps service members navigate safely and return home.
Explore how Leidos supports the intelligence community
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