The entire hardware lifecycle. In one platform.

Gearbox ingests telemetry from your existing CMDB and network devices via OpenConfig gRPC. It builds a live graph model in Neo4j—every chassis, line card, optic, and connection.

Click any node to see real-time telemetry, lifecycle data, and procurement history. No more spreadsheets, no more blind spots.

Subscriber growth. Traffic patterns. New service launches. Our XGBoost model translates business drivers into hardware requirements.

Twelve-month rolling forecasts with confidence intervals. Procurement teams know what to order and when, down to the SKU and warehouse.

When a line card's CRC errors trend upward and its temperature drifts past baseline, the Weibull survival model flags a predicted failure window.

87% failure probability within 90 days. Confidence bands show uncertainty. One click generates a replacement BoM and pushes it to procurement.

Poisson base-stock models calculate optimal safety stock per warehouse, per SKU.

Minimize carrying costs while maintaining service-level targets. The system adjusts automatically as demand patterns shift.

Turn a BoM into a competitive RFQ in one click. Gearbox normalizes supplier responses by currency and Incoterms, flags non-compliant lead times, and highlights the best value.

cXML PunchOut to SAP Ariba. One-click award. Procurement cycles shrink from weeks to hours.

Your models get smarter as more operators join. Differential privacy and federated learning mean your raw data never leaves your environment.

Aggregate failure patterns across the industry without exposing individual network topology. Collective intelligence, zero compromise.