Find the cause, autonomously
A failing KPI or a customer complaint starts a week of exports, traces and meetings across RAN, transport and core teams.
Our agents go through the data and come back with the root cause (interference, PIM, ducting or a signalling failure), where it is on the map and the fix, with the evidence attached.
Results
Faster troubleshooting, with days of work reduced to minutes
Mean time to repair for interference.
Effort to explain network anomalies
Use cases
Each one starts from your network data and ends with a decision your engineers can act on.
Root cause analysis: interference, PIM and ducting
Uplink interference detected, classified and located. Sources ranked by the customers they affect, with the field action for each.
Layer 3 troubleshooting
The message flow of each connection, down to the step where the call setup fails. A customer complaint traced to the cell and the cause.
Anomaly detection
KPIs watched against their forecast, with seasonality and planned works discounted. The worst cells come first, clustered by common cause.
Network optimization
Nine detection algorithms run on every cell, covering PCI clashes, cross-feeders, overshooting and load imbalance. Each finding comes with its recommended fix.
Every verdict comes with the evidence behind it.
Key benefits
Hours per case
The analysis that took a week of exports and meetings runs in one place on every vendor's data, and your engineers start from the answer.
Problems seen before customers report them
Anomalies are caught against the forecast, before they turn into complaints.
A fix you can check
Each root cause comes with its location, the data behind it and the action to take, so your engineers can verify it before they act.
“O2 climbed one position in independent rankings after deploying our anomaly detection and root cause analysis engines.”
Bring the case nobody has closed.
One failing KPI or one complaint pattern, in one region. We run the agents on your data and show you the root cause.
