See congestion before it happens.
Lumetras helps telecom operators optimize live networks by combining drive test data, field probes, and tower condition sensors with Lumen ML models that predict when and where congestion is likely to occur. The result is a network team that can rectify, rebalance, and optimize performance proactively instead of reacting after subscribers are already impacted.
How the platform works
A predictive layer for modern telecom operations
Lumetras is built for operators that want to move beyond passive monitoring. We install the sensing and probe infrastructure needed to continuously observe the network in the real world, then run machine learning models that turn raw telemetry into forward-looking operational guidance.
Drive Test Intelligence
Lumetras captures field-level coverage and quality data from drive tests to understand how the network actually performs across roads, corridors, dense urban blocks, and customer-heavy zones.
Live Network Probes
Strategically placed probes collect real-time data from live operating environments, helping telecom teams identify jitter, congestion buildup, packet loss, and performance shifts as they emerge.
Tower Condition Sensors
Sensor layers monitor the condition of telecom towers and site infrastructure, giving visibility into environmental stress, equipment health, and conditions that can degrade network reliability.
Structural scan
Tower integrity model
Site clearance
Vegetation mapping
Drone LiDAR tower audit
Inspect tower integrity and vegetation without a manual climb.
Lumetras uses drone-based LiDAR surveys to create a detailed spatial record of each cell site. The audit supports structural review of the tower and maps nearby vegetation that may affect access, safety, or equipment clearance.
Cell tower integrity detection
LiDAR point clouds capture tower geometry and visible structural changes for engineering review and maintenance planning.
Surrounding vegetation detection
Canopy mapping identifies vegetation near the tower compound, access routes, antennas, and required clearance zones.
Lumen ML models detect emerging stress before it becomes customer-visible.
The intelligence layer continuously evaluates traffic behavior, signal quality, regional demand shifts, tower condition changes, and historical performance patterns. Instead of simply reporting that a sector is congested right now, Lumetras forecasts where network attention will be needed next.
This gives telecom teams time to rectify bottlenecks, rebalance resources, investigate vulnerable cells, and optimize capacity before performance degradation spreads across the network footprint.
Operational outcomes
Why telecom teams use Lumetras
Strategic value
From network monitoring to network foresight
Lumetras gives telecom operators a way to act earlier, prioritize smarter, and optimize the network with confidence. By blending field intelligence, infrastructure sensing, and predictive machine learning, the platform transforms scattered operational signals into a clear action plan for reliability, performance, and subscriber experience.