Nomadic just raised $8.4 million to solve a big problem with self-driving cars: they create massive amounts of video footage that companies can’t easily use.
Every autonomous vehicle records hours of video daily from multiple cameras. But this raw footage is mostly useless unless companies can quickly find specific moments – like “show me every time our car almost hit a cyclist.” That’s nearly impossible when you have thousands of hours of video.
Turning Video Into Searchable Data
Nomadic uses AI to watch all this footage and tag what’s happening. Their system can identify pedestrians, traffic lights, road conditions, and driving mistakes. Instead of humans spending weeks reviewing videos, companies can now search their footage like a Google search.
The startup works with autonomous vehicle companies and delivery robots that need to understand how their vehicles perform in real situations. When a self-driving car makes a mistake, engineers can quickly find similar incidents to fix the problem.
This matters because self-driving cars need to get much better before they’re truly safe. Companies like Waymo and Tesla collect millions of miles of driving data, but most of it sits unused because it’s too hard to analyze.
What’s Next
Nomadic plans to expand beyond just vehicles. Any company using robots – from warehouse bots to security drones – faces the same problem of too much video data and not enough insights. The funding will help them build better AI tools and reach more customers who are drowning in footage they can’t use.