Autonomous Mobility
Intelligence Platform
Enterprise infrastructure for training Deep Learning models on urban mobility datasets. We aggregate raw LIDAR, Radar, and visual telemetry to improve vehicle perception algorithms.
320 TOPS
INT8 Inference2.4 PB
Dataset Volume< 12ms
Edge Latency
Computer Vision
Object detection for autonomous vehicle fleets. Processing high-bitrate video streams for model refinement.
LIDAR Point Clouds
Ingestion of 3D environmental mapping data. Sensor fusion analytics for precision navigation.
Simulation Engine
Digital twin scenario testing based on real-world telemetry ingestion.
Predictive Maintenance
Analysis of fleet technical health indicators using historical time-series data.