Network Threat Prediction & Detection

Adapt to changing network patterns and flag potential threats using a generative model trained on baseline network activity, past attempts, and intrusions.

Predictive Maintenance

Prevent system failure and proactively identify early warning signs of malfunctions.

Analytics Assistant

Analyze and visualize data using a conversational LLM-powered virtual assistant. Compress the model to run it in constrained environments.

Data Compression & Communication

Reduce the bandwidth needed for communication between network nodes, enabling faster and more reliable data transfer in constrained environments.

Incident Diagnostics

Extract invaluable insights to uncover patterns and efficiently debug problems, enhancing network incident response.

Incident Response

Automate the execution of incident response countermeasures and remediation steps, with system-generated recommendations.

Dynamic Traffic Routing & Pathing

Optimize traffic routing based on current conditions and/or strategic parameters, such as speed, performance and operational costs.

Energy Efficiency Optimization

Optimize NOC, data center and infrastructure power consumption dynamically based on network traffic, loads, and adverse conditions.

Outage & Field Service Optimization

Optimize operational rules, correlation engines, and field service dispatch and response to pinpoint and troubleshoot outages along the network faster.

Network Design, Deployment & Support

Optimize network element placements, routing paths, physical resource allocations, and labor staffing/scheduling to minimize deployment costs and time.

Demand Forecasting

Simulate various hypothetical scenarios and predict demand for spikes in network resources to inform resource allocation planning.

Predictive Maintenance

Simulate hardware degradation and provide early warnings to predict when network equipment is likely to fail or require maintenance.

Service Disruption Prediction

Predict outages based on traffic, usage and service life of network infrastructure components, adverse conditions, or anticipated intrusions.

Fault Tolerant Sensing

Create a virtual twin of a critical sensor and provide reliable data in the event of a sensor failure.

Virtual Sensors

Create a virtual sensor based on correlations with related data to substitute in extreme environmental conditions or scenarios with space and power constraints.