AI-Powered Edge Processing
Run advanced AI inference, analytics, and mission-critical workloads directly at the tactical edge without relying on constant cloud connectivity. Optional NVIDIA Tensor Core support enables accelerated AI/ML performance for computer vision, predictive analytics, sensor fusion, and real-time decision support in austere environments.
Secure Edge-to-Cloud Synchronization
Maintain seamless data movement between edge operations and enterprise systems through secure, automated synchronization across Starlink, CANES, or any available WAN connection. A single external ethernet connection simplifies deployment while ensuring reliable access to mission data from ship to shore and beyond.
Built for DDIL Environments
Designed to operate in denied, disrupted, intermittent, and limited-bandwidth (DDIL) environments, the platform delivers resilience where traditional infrastructure cannot. MIL-STD-461 and MIL-STD-810H compliance ensures electromagnetic protection, shock resistance, and environmental durability for demanding defense operations.
Defense-Grade Security & Compliance
Support secure operations across DoD Impact Levels 4, 5, and 6 with architecture built for mission assurance. DISA STIG-compliant hardware, FIPS-aligned security controls, integrated hardware firewalls, and Layer 3 switching provide the hardened foundation required for classified and sensitive mission environments.
Rapid Deployment
The compact 8U roll-on/roll-off form factor enables fast transport and immediate operational readiness in the field. At approximately 145 pounds and designed for a two-person lift, the system can be deployed with one-touch power-on and fully operational in just 10–15 minutes.
Zero-Touch Operations at Scale
Reduce maintenance burden and simplify lifecycle management with cloud-based scripted deployment and zero-touch support. The platform enables centralized updates, remote troubleshooting, and streamlined sustainment while supporting more than 200 end-user devices across distributed mission environments.