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 and rider- and driver-assist functions running in real time on in-vehicle edge hardware.
Computer VisionNeural NetworksEdge AIReal-time inference
/embedded-ai-automotiveautomata
Capabilities
What we deliver.
Model optimization
Quantization, pruning, and ONNX/SNPE deployment for real-time inference.
Sensor intelligence
On-device fusion of camera, radar, and IMU streams with deterministic latency.
Product-specific assistance
Embedded AI functions engineered to each customer programme.
Predictive analytics
Edge inference for anomaly detection, wear prediction, and behavior modeling.
Automotive-grade SW
ISO 26262-aware processes and MISRA C++ discipline.
Use cases
Where it applies.
- Vision-based driver- and rider-assistance stacks
- Hazard detection for two-wheeler add-on kits
- Battery, powertrain, and thermal predictive analytics for EVs
- Edge AI accelerators for OEM and Tier-1 reference designs
Technology stack
Built on proven tools.
Edge AI SoCsONNX RuntimeOpenCVC++Python
Ready to build with Embedded AI?
Book a technical consultation with our engineering team.