Process data where it's generated. Our edge-first telemetry architecture reduces cloud costs by 90-99% while maintaining full diagnostic capability. From $500K-2M per year to $5K-20K per year for 1,000-vehicle fleets.
Lightweight agents run on NVIDIA DRIVE Orin or TCU. Rule engine monitors signals for threshold/pattern violations locally before cloud upload.
Only upload data when events trigger. Traditional: 17.3 billion data points/day for 1,000 vehicles. QuantumStream: 17.3 million (99% reduction).
Maintain 5-15 minute context window on-device. Capture t0 ± 10-20 min around events with K=100-400 relevant signals for complete diagnostic context.
Smart data capture only when needed. No streaming of unnecessary baseline data. Reduces bandwidth costs and enables offline operation during connectivity loss.
mTLS secure uplink via 5G TCU. End-to-end encryption with customer-controlled keys. Compliant with automotive cybersecurity standards.
Low-latency 5G uplink via Snapdragon TCU. Automatic failover to 4G LTE. Efficient payload compression reduces cellular data costs.
OCI containers (Docker/Podman) enable rapid updates. Deploy new rules and models without vehicle downtime. A/B testing capabilities.
Monitor CAN/CAN-FD bus and DDS/SOME-IP service bus. Real-time signal processing with microsecond precision for safety-critical monitoring.
Per vehicle per year. Stream all 200 signals continuously at 1Hz → 17.3 billion data points/day for 1,000 vehicles.
Per vehicle per year. Event-triggered upload only → 17.3 million data points/day (99% reduction). Full diagnostic capability maintained.
For 1,000-vehicle fleet. From $2M/year to $20K-100K/year in cloud infrastructure and bandwidth costs.
See how edge intelligence can dramatically reduce your cloud costs while improving diagnostic capability and reducing latency.