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Act · Predictive IT operations

AIOps

The outage that never happens.

Forecast failures early, turn noisy alerts into clear decisions, and let routine issues resolve themselves under your policies, with a full audit trail.

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Grouped into one incident

47alerts in the last 2 minutes

  1. P2CGN-2 session table at 81%
  2. P3BRAS-4 CPU spike, 3 min
  3. P2CGN-2 NAT port allocation slow
  4. P3Link flap on core-rtr-7 ge-0/1/2
  5. P1Subscriber attach retries rising
  6. P3MME-1 paging latency high
  7. P3Syslog burst from CGN-2
  8. P2IMS registrar timeouts
  9. P3SIEM: login burst on NMS
  10. P3PGW-3 memory at 74%
  11. P2CGN-2 licence usage warning
  12. P3DNS resolver latency high
  13. P3Ticket auto-opened: BRAS-4
  14. P3KPI dip: web sessions

1 incident · 47 alerts grouped

CGN pool B will run out of session licences

Root cause
Session growth on CGN-2 and CGN-3 since the last tariff change.
Impact if ignored
New subscriber sessions start failing in the north region.
What to do
Scale out pool B. Approved runbook, inside the change window.

CGN pool B, session capacity used

50%75%100%10 wks agoToday+6 wksLicence limit5 weeks away

Warning raised 5 weeks early. Your team has time to act.

  1. Forecast raised, 47 alerts grouped
  2. Runbook approved by your policy
  3. Pool B scaled out and verified
  4. Closed, with a full audit trail

Sample alerts and figures, for illustration.

Why AIOps

The outage that never happens.

  1. 01

    Act on warnings, not alerts.

    AIOps forecasts failures early, so your team has time to act before anyone is affected.

  2. 02

    From noise to a clear decision.

    It adds context to noisy alerts to cut false alarms, and tells operators exactly what to fix.

  3. 03

    Self-healing you stay in control of.

    Routine issues resolve themselves under your policies, with human-in-the-loop control and a full audit trail.

40–60%Reduction in P1 incidents
3–8 wksLead time on capacity exhaustion
1 paneAcross NoC, SIEM, logs and KPIs
HumanIn the loop, with a full audit trail

Ranges based on innData engagements across telecom operators. Exact outcomes depend on baseline maturity and scope.

Capabilities

What it does.

Failure forecasting

Forecasts failures across core IT, including BRAS, CGN, MSC, MME, PGW/UPF, IMS and HSS/UDM, before subscribers feel them.

Capacity exhaustion modelling

Models CPU, memory, sessions and licences, with weeks of lead time rather than hours.

Cross-domain anomaly detection

Correlates NoC, SIEM, application logs and business KPIs in one pane.

Less alert noise, sharper MTTR

Aggregates symptoms into single actionable incidents, so teams work the cause.

Governed self-healing

Runs approved runbooks such as restart, failover and scale-out under your policies.

Fits your existing stack

Integrates with your NMS, EMS, ticketing tools such as Remedy and ServiceNow, and observability stacks.

Where it fits

Built for always-on operations.

On your ground

Run it yourself, or have us run it.

Licensed platform

Delivered as a product, with model retraining and drift monitoring included.

Managed AI Ops

We operate the models under SLA: 99.9% platform availability and 15-minute P1 acknowledgement.

Human in the loop

Your policies decide what heals itself and what waits for a person.

Works with

CybersecuritySIEM and SOC signals feed the same correlated view.Kashi-kaAsk questions of your operational data in plain English.Cloud ComputingThe private and hybrid infrastructure AIOps keeps running.

Stop finding out about outages from your users.

Every engagement starts with a two-week Discovery of your systems, data and success criteria.

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