
Cloud ManagementEdge AI Device Fleet Cloud Management Platform
Centrally manage thousands of FFI8805 edge devices for model deployment, OTA updates, real-time monitoring, and anomaly diagnostics, enabling automated operations for large-scale AI inference infrastructure.
From OTA updates to anomaly diagnostics, SaaS Platform provides everything needed for edge AI device operations.
Differential updates with A/B partition switching, minimizing update time and bandwidth. Supports canary releases and auto-rollback.
WebSocket real-time device status push including CPU/CIM utilization, temperature, memory, and inference latency.
ML-driven anomaly detection engine, automatically identifying hardware failures, performance degradation, and model drift with root cause analysis.
Centralized AI model version management with signature verification, A/B testing, and automated deployment pipelines.
Fleet-level performance analytics dashboard with custom metrics, alert rules, and report export.
End-to-end encrypted communication, RBAC access control, audit logs. SOC 2 Type II and ISO 27001 certified.
From edge devices to cloud management, SaaS Platform uses a three-tier architecture for scalability and reliability.
Lightweight agent deployed on FFI8805 devices for data collection, local caching, and secure communication.
Regional gateways for device authentication, protocol translation, and data aggregation via MQTT / gRPC / HTTP.
Kubernetes clusters with auto-scaling, multi-tenant isolation, data persistence, and API gateway.
Simulate the SaaS Platform real-time monitoring dashboard, experience device management and data analytics
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Contact our technical team for SaaS Platform trial account and support.