Mathematical rigor at the edge
Production-ready machine learning models optimized for in-vehicle edge computing, trained on real-world telematics, and fully compliant with ISO 26262 functional safety standards.
Engineered for the road
Edge-Optimized ML
Predictive Telematics
ADAS Vision Pipelines
Custom deep learning architectures constrained for automotive microcontrollers, minimizing latency and memory footprint without sacrificing accuracy.
Proactive wear-and-tear algorithms trained on multi-million mile fleet data, predicting component failures before they compromise safety.
High-fidelity computer vision models for real-time object detection, lane tracking, and spatial awareness under extreme environmental conditions.
Rigorous model validation
We bridge the gap between academic machine learning and production-grade automotive engineering. Every neural network undergoes rigorous hardware-in-the-loop validation to guarantee deterministic execution profiles.
Our Gothenburg and Munich teams design clean, documented codebases that integrate seamlessly into your existing ISO 26262 functional safety and cybersecurity compliance pipelines.
Secure your software supply chain
Schedule a technical consultation with our ISO 26262 integration team to review our production-ready AI capabilities.