Keep the network performing
Thousands of KPIs and alarms a day mean engineers chase the loudest cells instead of the worst ones, and the fix depends on who is on shift.
Our agents watch every KPI continuously, find the worst cells and propose the fix. Your engineers approve it.
Results
Faster voice call setup after a 4G spectrum refarming
Handover success on a new C-band rollout.
Congestion in the analysed areas.
Use cases
Each one starts from your network data and ends with a decision your engineers can act on.
High-traffic hotspots
Stadiums, malls and stations, with experience measured from traces at the busiest hours. Capacity and parameters planned venue by venue.
Mobility
Handover failures, ping-pong and coverage gaps located along trains and highways, with the neighbour and threshold changes that fix them.
Degraded cells
The worst offenders across all KPIs, found continuously. For each one, the parameter or feature that fixes it, pre-validated on the digital twin.
Seasonal plans
Christmas, Eid, the World Cup or the summer holidays. Traffic forecast per area, with capacity and parameters planned ahead and rolled back afterwards.
The worst cells get fixed first, whoever is on shift.
Key benefits
Worst cells fixed first
Every cell is ranked across all KPIs, so engineering time goes to the cells that affect the most users rather than the ones that raise the most alarms.
The same fix on every shift
The diagnosis and the proposed change come from the agents and the data, so the result no longer depends on who picks up the ticket.
Ready before the peak
Events and seasons are planned from forecast traffic, with capacity in place before the peak and parameters rolled back after it.
“O2 climbed one position in independent rankings after deploying our anomaly detection and root cause analysis engines.”
Find your worst cells on your own data.
Bring one region and the KPIs that will not recover. We run the agents on your data and show you the fixes they propose.
