StreamIQ
Edge DPI with Cloud AI Intelligence
StreamIQ combines edge-based deep packet inspection with cloud AI analytics. Edge nodes classify applications like Netflix, YouTube, Prime Video in real-time, while cloud AI models analyze patterns to predict future bandwidth demands and usage trends.
Key Features:
- Edge-based real-time application classification
- Cloud AI predictive bandwidth analysis
- ML-powered capacity planning and forecasting
- Predictive user experience optimization
- AI-driven streaming service quality prediction
Use Cases:
- ISP traffic analysis and capacity planning
- Enterprise application monitoring
- Satellite and IFC network optimization
- Mobile network performance analysis
FlowGuard
AI-Guided Traffic Shaping & Predictive QoS
FlowGuard combines edge-based traffic shaping with cloud AI predictions. Real-time QoS enforcement is guided by AI models that forecast traffic patterns, enabling proactive bandwidth management and congestion prevention.
Key Features:
- AI-guided traffic prioritization
- Predictive bandwidth allocation
- ML-powered fair usage enforcement
- Proactive congestion prevention
- AI-driven QoS optimization
Use Cases:
- Critical application prioritization (VoIP, video conferencing)
- Bandwidth management for satellite networks
- Fair usage enforcement for ISPs
- Enterprise network optimization
CloudIQ
AI/ML Analytics & Predictive Intelligence Portal
CloudIQ is the AI brain of EdgeSpaceIQ, running advanced ML models and LLM-based analytics on edge data. It predicts tomorrow's bandwidth needs, identifies future congestion hotspots, and provides actionable insights for network optimization.
Key Features:
- AI/ML predictive analytics engine
- LLM-powered bandwidth forecasting
- Congestion prediction and alerts
- ML-driven capacity planning
- Predictive network optimization
AI/ML Capabilities:
- Predictive bandwidth demand modeling
- Congestion hotspot identification
- Time-series forecasting for capacity planning
- LLM-based network optimization recommendations
Technical Specifications
Performance
- Up to 1 Gbps per instance
- Up to 10 Gbps per site (clustered)
- Sub-millisecond latency
- 99.99% uptime SLA
Resource Requirements
- <512 MB RAM per instance
- <1 vCPU per instance
- Minimal storage footprint
- Auto-scaling capabilities
Deployment Options
- Container (Docker/Kubernetes)
- Virtual Machine (VMware/KVM)
- Bare-metal deployment
- Hybrid cloud support
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