Solutions · Autonomous Operations

Cut MTTR by 43% with a NOC that
heals itself

Alert fatigue and manual triage don't scale with network complexity. Ritam, MatreComm's autonomous AIOps engine, correlates signal across Mobility, Core, Transport, and Access — so your team acts on incidents, not noise.

The problem

Network operations weren't built for this scale

Alert volume outpaces headcount
NOC teams triage thousands of alerts a day across siloed domains, most of them noise — and the real incidents get buried.
MTTR climbs with every new domain
Mobility, Core, Transport, and Access each run their own tooling. Correlating root cause across them is manual and slow.
Manual effort caps your scale
Every network expansion adds operational load. Without automation, headcount becomes the bottleneck to growth.
The MatreComm approach

One engine, four disciplines

Ritam sits across your existing network stack as a unified intelligence layer — not another dashboard to check, but an engine that acts.

Correlate

Unifies event streams across Mobility, Core, Transport, and Access into a single causal view.

Suppress Noise

Machine-learned pattern recognition filters redundant and low-value alerts before they reach an engineer.

Auto-Remediate

Pre-approved runbooks resolve known-pattern incidents without waiting on a human in the loop.

Learn Continuously

Every incident feeds back into the model, so the network gets quieter and faster to resolve over time.

Held true

What this looks like, measured.

OutcomeProduction resultStatus
Mean time to remediate−43%First 90 days
Alarm noise suppressed90%+Holding
Incident volume−37%Holding
Ops effort freed75%By Year 3

Figures from a live carrier deployment with a Tier-1 Indian operator — the only non-illustrative numbers on this site.

How it works

From raw signal to resolved incident

01

Ingest

Telemetry, logs, and alarms stream in from Mobility, Core, Transport, and Access — no rip-and-replace required.

02

Correlate

Ritam maps cross-domain dependencies to identify true root cause, not just symptoms.

03

Act

Known-pattern incidents trigger automated remediation; novel ones route to engineers with full context attached.

04

Learn

Resolution outcomes retrain the model, tightening correlation accuracy with every incident cycle.

Who it's for

Built for the people accountable for uptime

CTO / CIO

Reduce operational cost per network domain while proving reliability metrics to the board.

Head of NOC

Give your team fewer, higher-confidence alerts and a shorter path from detection to resolution.

VP Network Operations

Scale operations across new domains and geographies without proportional headcount growth.

Sovereign by design. Ritam runs on your infrastructure, under your control — no dependency on hyperscale cloud, no data leaving your perimeter.
FAQ

Frequently asked questions

What does "autonomous" actually mean here — does it act without us?

It acts within limits you set. Known-pattern incidents resolve through pre-approved runbooks; novel ones route to engineers with full context attached. Anything material is proposed, dry-run against blast-radius and policy checks, and approved before execution, and every action is logged with the reasoning that produced it.

How much alert noise does it remove?

Over 90% of alarm noise is suppressed before it reaches an engineer, and that level holds rather than decaying after go-live. Machine-learned pattern recognition filters redundant and low-value alerts, and an alarm storm collapses to the single root cause underneath it. In production at a Tier-1 Indian operator, this ran alongside a 43% reduction in mean time to remediate within the first 90 days.

How long does root cause analysis take?

Typically under 60 seconds — measured from the arrival of the first correlated alarm at ingest to the root cause being named. Ritam maps cross-domain dependencies to identify the true cause rather than the loudest symptom, against a manual baseline of 5–8 hours of vendor-by-vendor fault chasing.

Do we have to replace our existing tooling to start?

No. Telemetry, logs and alarms stream in from Mobility, Core, Transport and Access with no rip-and-replace required, across 40+ vendors on SNMP, syslog, gRPC/gNMI, NETCONF, flow, REST, TL1 and BGP-LS.

Does it improve over time?

Yes. Resolution outcomes feed back into the model, so correlation accuracy tightens with each incident cycle and the network gets quieter as it learns.

Get started

See what Ritam can do on your network.

Talk to a solutions architect about deploying autonomous NOC operations across your domains.