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.
99.7%
Detection Accuracy
200+
Related Patents
How It Works
Deep neural networks trained on 50M+ miles of real-world driving data, achieving 99.7% object detection accuracy in all weather conditions.
Core Architecture
Modular, scalable design built on automotive-grade hardware with ASIL-D safety certification and deterministic real-time performance.
Data Pipeline
Continuous ingestion from vehicle sensors, cloud services, and edge devices with sub-50ms end-to-end processing latency.
Integration
Standardized APIs and SDKs enable rapid deployment across Qualcomm, NVIDIA, and Renesas platforms with minimal customization.
Performance at Scale
5M+
Vehicles Deployed
31+
Countries Covered
49.99%
Uptime SLA
95+
Patents Filed
Why CUSP Leads
Processing Latency
< 1 ms
5-10 ms
Detection Accuracy
99.7%
95-97%
Update Frequency
Real-time (5 min)
Weekly / Monthly
Safety Certification
ASIL-D + ISO 21434
ASIL-B
OTA Reliability
99.9% success
95-98%
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