Engineering the
Future of Mobility
Our technology stack powers millions of vehicles worldwide. From deep-learning perception to real-time HD mapping, every component is engineered for safety, accuracy, and performance.
200+
Core Patents
15%
R&D Investment
3
Global R&D Centers
Technology Pillars
Six foundational technologies that define our competitive edge in the automotive industry
99.7%
Detection Accuracy
AI Perception Engine
Deep neural networks trained on 50M+ miles of real-world driving data, achieving 99.7% object detection accuracy in all weather conditions.
5M+
Kilometers Mapped
HD Map Engine
Sub-decimeter accuracy mapping with dynamic layer updates every 5 minutes, covering 5M+ km of roadways across 60 countries.
<1ms
Task Latency
Real-Time OS
Custom RTOS with <1ms task scheduling latency, ASIL-D safety certification, and deterministic behavior for critical driving functions.
12ms
Fusion Latency
Sensor Fusion
Multi-sensor calibration and fusion algorithms combining camera, radar, LiDAR, and ultrasonic data into a unified world model.
99.9%
Update Success Rate
OTA Platform
Secure over-the-air update system with A/B partitioning, rollback capability, and differential compression for minimal bandwidth.
ISO 21434
Certified
Cybersecurity Shield
End-to-end security architecture with hardware root of trust, encrypted communication channels, and intrusion detection.
Key Patents
2020
Dynamic Lane-Level Map Generation
US10,847,321 B2
2021
Multi-Sensor Temporal Fusion for ADAS
US11,123,456 B1
2021
Predictive Traffic Routing via GNN
CN112345678.3
2022
Low-Latency V2X Communication Protocol
EP3891234 A1
2023
Edge-AI Inference Optimization
US11,567,890 B2
2023
Automotive OTA Security Framework
CN113456789.2
Research Directions
Where we are pushing the boundaries of automotive technology
Technology FAQ
Common questions about our technology stack
Our software runs on all major automotive SoCs including Qualcomm Snapdragon, NVIDIA Drive, and Renesas R-Car. We provide optimized binaries for each platform.
We use a hybrid approach: critical safety data is embedded in the vehicle firmware, while dynamic data (traffic, road closures) is streamed via 4G/5G in real-time.
Our current ADAS suite is certified for L2+ autonomous driving. L3 conditional automation is in active development and scheduled for release in Q4 2026.
Explore Our SDK
Developers can integrate CUSP navigation and ADAS APIs into their own platforms. Full documentation and sample code available.