Perception models
Detection, segmentation, and tracking models tuned for automotive edge SoCs.
Solution · Embedded AI
Embedded AI for automotive.
Develop AI-enabled embedded software for perception, driver assistance, sensor intelligence, predictive analytics, and edge computing on automotive-grade hardware.
Computer VisionNeural NetworksEdge AIReal-time inferenceNVIDIAQualcomm
/embedded-ai-automotiveautomata
Capabilities
What we deliver.
Model optimization
Quantization, pruning, and TensorRT/SNPE deployment for real-time inference.
Sensor intelligence
On-device fusion of camera, radar, and IMU streams with deterministic latency.
Driver/rider assistance
Production-grade ADAS/ARAS functions integrated end-to-end.
Predictive analytics
Edge inference for anomaly detection, wear prediction, and behavior modeling.
Automotive-grade SW
AUTOSAR-friendly integration, ISO 26262-aware processes, MISRA C++ compliance.
Use cases
Where it ships.
- Vision-based ADAS/ARAS stacks on NVIDIA DRIVE and Jetson platforms
- Driver monitoring and cabin intelligence on Qualcomm Ride and SA8x55
- Battery, powertrain, and thermal predictive analytics for EVs
- Edge AI accelerators for OEM and Tier-1 reference designs
Technology stack
Built on proven tools.
NVIDIA DRIVEJetson OrinQualcomm RideTensorRTCUDAONNXOpenCVC++PythonAUTOSAR
Ready to build with Embedded AI?
Book a technical consultation with our engineering team.