The Problems We Solve

Field testing costs time and money.

We use cell traces geolocation to replicate drive tests virtually. No trucks needed.

Users complain about network performance.

We analyse their protocol messages to identify and fix the problem.

Network data is fragmented across vendor-specific tools and formats.

Kenmei’s Data Fabric decodes, correlates, and enriches data from every RAN vendor and RAT. Once integrated, it powers every layer of intelligence.

Interference is hard to locate, harder to fix.

Our agents detect, classify, and geolocate RF interference issues , so your teams fix the root cause, not the symptoms.

Engineers waste hours diagnosing known issues.

Kenmei agents perform root cause analysis and suggest actions.

Coverage and QoS fluctuate in motion environments.

We monitor roads and railways with precise clustering and root cause detection to ensure stable performance.

Energy efficiency is hard to balance with performance.

Our AI agents analyze traffic patterns and recommend energy-saving features with full KPI validation.

Bad coverage areas often go undetected.

We correlate multiple KPIs across space and time to find underperforming areas, even without alarms.

New sites don’t always perform as expected.

Our virtual site verification compares real vs. expected parameters, without manual intervention.

Signaling issues cause silent failures that impact user experience.

We analyze call flows, setup, release, and handover messages to spot failures and root causes quickly.

Inconsistent network parameters degrade performance without alerts.

We detect unexpected parameter configurations automatically and compare actual vs. expected baselines.

Planning new sites or decommissioning old ones is complex and risky.

We identify high-traffic zones, national roaming needs, and optimize site decisions with multi-source data.

Congestion sources are often unclear, delaying resolution.

We correlate crowd-sourced data with network KPIs to geolocate and understand congestion causes.

Some RF issues repeat in patterns but remain hidden.

We analyze interference over time to identify recurring patterns and optimize long-term fixes.

Poor visibility into competitive coverage undermines planning.