Cyber-Secure Fleet & Vehicle Management
Real-time fleet and vehicle management, remote diagnostics, and AI training infrastructure — with hardware-enforced, enterprise-grade security.
Gain live fleet-wide performance analytics, location tracking, and predictive maintenance scheduling to minimize downtime.
OEMs can scale from pilot programs to global fleets without redesigning their cybersecurity model or cloud integration stack

True Cloud Connectivity with Hardware-Enforced Security

Drako DriveOS eliminates fleet and vehicle management security vulnerabilities through hardware-enforced isolation that makes cloud breaches practically impossible to propagate into safety-critical vehicle systems.
This secure-by-design foundation means OEMs can confidently deploy full cloud integration — including real-time data streaming, remote diagnostics, OTA updates, and AI training pipelines — without compromising vehicle safety or creating new attack surfaces.
Cloud-Connected Vehicle Management
Advanced Diagnostics & Support
Sophisticated remote diagnostics enable individual owners and fleet managers to resolve issues faster with reduced downtime, while providing OEMs with critical data for product improvements.
- Remote log file access and synchronization
- Incident analysis through automated log uploading
- Remote parameter tuning and software calibration
- Proactive issue resolution before customer impact
Individual Vehicle Owners
Example vehicle management capabilities OEMs can implement for retail customers to gain smartphone-level connectivity and control over their vehicles — from anywhere, at any time.
- Mobile app for remote lock/unlock and climate pre-conditioning
- Real-time vehicle health notifications and alerts
- Charge monitoring and range optimization
- Service scheduling based on predictive maintenance
- Trip history, efficiency tracking, and driving insights
- Remote diagnostics reducing dealership visits
Commercial Fleet Operations
Example fleet management capabilities OEMs can implement for fleet operators to gain enterprise-grade visibility and control across their entire vehicle population for maximum efficiency and uptime.
- Real-time location tracking and route optimization
- Fleet-wide performance metrics & utilization analytics
- Predictive maintenance scheduling to minimize downtime
- Driver behavior monitoring and safety scoring
- Energy consumption & cost analysis
- Centralized fleet configuration & policy management
AI Training & Continuous Improvement
Modern autonomous and driver assistance systems require continuous learning from real-world data. Drako’s secure cloud integration enables a constant data flow from vehicles to the cloud training infrastructure — the same approach used by leading autonomous vehicle manufacturers.
Use fleet data to continuously improve ADAS and autonomous driving models, then deploy updated models back to vehicles through secure OTA updates, creating a closed-loop improvement cycle.

Targeted, Reliable Over-the-Air Updates

Over-the-air (OTA) updates enable manufacturers to enhance features, improve performance, and address issues without dealership visits.
DriveOS’ reliable, production-proven OTA vehicle management capabilities help extend vehicle lifecycle value while reducing manufacturers’ warranty and service expenses.
Fleet & Vehicle Management: Enterprise-Grade Infrastructure
Drako’s cloud platform is built on proven technologies that scale from small fleets to global deployments, with the security and reliability required for safety-critical automotive applications.
Kubernetes orchestration
Cloud services run on K8S for automatic scaling, high availability, and efficient resource utilization across any deployment size.
Secure Communication Protocols
Vehicle-to-cloud communication uses industry-standard encryption and authentication, with additional security layers provided by DriveOS’s hardware isolation.
Scale-Out Architecture
Infrastructure grows seamlessly from pilot programs to production fleets, with no architectural changes required as deployment scales.
OEMs can deploy this infrastructure in the configuration that best meets their requirements:
- Cloud Backend: Kubernetes-based cloud infrastructure for scalable fleet management
- On-Site Data Center: Deploy in private data centers for OEMs who prefer on-premise infrastructure