Nomadic raises $8.4 million to wrangle the data pouring off autonomous vehicles

1. 1Collect footage from autonomous vehicles
2. 2Apply deep learning models to structure and label the data
3. 3Integrate the structured datasets into existing analytics pipelines
4. 4Use the searchable datasets to improve vehicle performance and safety

Data scientists and AI engineers on autonomous vehicle teams can benefit from Nomadic's technology to efficiently process and analyze large amounts of data

💡 Deep learning can be used to turn unstructured footage from autonomous vehicles into searchable, structured datasets

💡 Nomadic raises $8.4M to tame autonomous vehicle data with deep learning