Predictive Failure Modeling

We apply time-series forecasting and survival analysis on telemetry streams from fans, disks, power units, and network cards to predict impending hardware failures with high precision.

Anomaly Detection Across Fleets

Our AI systems use clustering, autoencoders, and isolation forests to detect deviations from baseline behavior in performance metrics, helping identify early degradation signs in large-scale deployments.

Proactive Support Automation

We integrate predictive alerts with ITSM and orchestration systems (ServiceNow, Ansible, Terraform) to trigger auto-remediation scripts such as component replacement scheduling, workload migration, or firmware rollbacks.

Fleet-Wide Health Dashboards

Cognitive dashboards aggregate health scores, predictive failure risks, and service KPIs across thousands of devices, enabling proactive decision-making for operations teams.

Cross-Vendor & Multi-Cloud Support

Our solutions normalize telemetry and support data across heterogeneous environments—on-prem, AWS, Azure, and GCP—ensuring a unified view of fleet health regardless of vendor.

Root Cause Analysis & Knowledge Graphs

Graph-based correlation models map relationships between events, configurations, and workloads, enabling rapid root cause analysis and avoiding repetitive failures across the fleet.