ROI Estimator

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bleeding right now?

Configure your profile. Pulse models your network's exact exposure — alerts caught, MTTR slashed, revenue recovered.

Subscriber Lines2.5M
100K10M50M
Network Type
Intelligence Modules
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Live Preview
Simulated
pulse-noc-dashboard v3.1.4
Ingesting 847K events/s

Alerts / Month

27,384

↑ vs. threshold baseline

MTTR Reduction

0.6h

Avg. incident resolution

Projected Annual Savings

$3.95M

139 major incidents avoided · churn + outage recovery combined

Live Alert Feed0 events processed
ANOMALYLatency spike — Cell 7A-NortheastNE-07
CHURNRisk score 0.87 — Segment B14SW-14
CAPACITYHeadroom < 12% — Sector 3 backhaulMW-03
ANOMALYCall drop rate +340% — Tower 22CSE-22
Model Confidence97.3%

Carrier Case Study
Anonymized · Regional MVNO · 4.2M Subscribers

Before Pulse.
After Pulse.

A regional MVNO with 4.2M subscribers deployed Pulse across their core and RAN layers. Results measured over 90 days post-deployment.

Metric
Before
After
MTTR (avg. hours)
6.2h
1.8h−71%
False positive alerts
2,840/mo
94/mo−97%
Churn rate (post-deploy)
3.4%
1.9%−44%
NOC headcount needed
18 FTE
11 FTE−39%
Incidents escalated
312/qtr
38/qtr−88%
Outage-related revenue loss
$4.2M/yr
$0.6M/yr−86%
Total annual value recovered$3.6M

Predicted vs.
Actual Events.

Each dot is a real network event. Tight diagonal clustering means the model called it before the NOC did.

anomaly
churn
capacity
PREDICTED SEVERITYACTUAL

R² Correlation

0.971

Avg. Lead Time

23 min

Events Sampled

847K


Escalating Proof Stack
Tier 1 — Anomaly Detection

See the spike before the ticket.

Sub-second telemetry correlation across 400+ signal types

Pulse ingests raw CDRs, SNMP traps, and DPI streams simultaneously. Its transformer model correlates micro-patterns — a 0.3% packet loss increase here, a CQI degradation there — into a single severity score before your threshold alert would have fired.

340ms

Avg. detection latency

99.4%

True positive rate

Signal intensity / 12h window
Live
00:0006:0012:0018:0023:59

340ms

Key metric

99.4%

Outcome

340ms

Detection

Tier 2 — Capacity Forecasting

Order hardware before you need it.

72-hour lookahead on every node, sector, and backhaul segment

Legacy capacity planning reacts. Pulse forecasts. It models traffic growth curves per cell sector using historical patterns, event calendars, and weather data — producing headroom projections that let your infrastructure team order before the crunch, not during it.

94.7%

Forecast accuracy at 48h

3.2×

Fewer emergency procurements

Utilization forecast %
Live
00:0006:0012:0018:0023:59

94.7%

Key metric

3.2×

Outcome

72h

Lookahead

Tier 3 — Churn Intervention

Retain the subscriber before they dial retention.

Network-experience-driven churn scoring, not CRM lag

Most churn models run on billing data and NPS surveys — signals that arrive after the decision. Pulse scores churn risk from network experience in real time: repeated call drops, escalating latency, failed VoLTE sessions. Intervene in the window that actually matters.

44%

Churn reduction, 90-day cohort

$28

Avg. revenue saved per intervention

Churn risk score trend
Live
00:0006:0012:0018:0023:59

44%

Key metric

$28

Outcome

30d

Horizon

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