Built on the Telecom Foundation Model — Product 01

Retire the 10,000 rules
running your network operations center.

Otter NOC Copilot ingests alarms from Netcool, NetAct, ENM, iManager, and any element that speaks SNMP — then correlates, diagnoses, and delivers a ranked root cause to your engineers. It runs on our Telecom Foundation Model: an LLM re-trained on the language of networks, adapted to your alarm history. Vendor-agnostic, designed to deploy in weeks, not quarters.

30–70% Fewer troubleshooting tickets
55–80% NOC cost reduction
<90s Alarm to diagnosis
Design targets — to be validated with design partners
Built to sit on top of the multi-vendor estate operators already run
Nokia Ericsson Huawei Cisco IBM Netcool ServiceNow

Your NOC runs on rules written a decade ago.

Alarm correlation engines were hand-coded for a world that no longer exists. Every new vendor, every new network slice, every RAN upgrade means another rule to write, another engineer to train, another hour added to mean time to resolution.

01 — Rule rot
10,000+
Hand-coded correlation rules in a typical Tier-1 NOC. Nobody remembers why half of them exist. A material share fires on the wrong conditions. New vendor? Write another 500.
02 — Alert fatigue
80%
of escalated tickets trace back to 20% of root causes. Your senior L2 engineers spend their shifts triaging the same cluster of transport failures, repeatedly.
03 — Autonomy gap
4%
of operators have reached TM Forum Level-4 autonomy. 85% target it by 2030. Most have the roadmap — few have the platform to execute it. The gap isn't ambition — it's infrastructure.

From raw alarm to ranked diagnosis, in three stages.

01 / Ingest

Tap the alarm spine. Normalize once.

Otter NOC Copilot connects wherever your alarms already flow — Kafka off Netcool, SNMP traps, syslog, 3GPP CORBA NBI, or direct vendor EM APIs. One schema. Every source. Read-only by default.

Supported sources Netcool · NetAct · ENM · iManager U2000 · Cisco NSO · SNMP · Syslog · REST
02 / Correlate

A foundation model replaces written rules.

Correlation runs on our Telecom Foundation Model — an LLM re-trained on alarms, counters, and the 3GPP specs — adapted to 6–12 months of your historical alarm and ticket data. It learns how your network actually fails: topology, seasonality, vendor behavior, traffic patterns, and all.

Techniques Telecom Foundation Model · alarm-ticket pair learning · topology-aware grouping
03 / Resolve

Diagnose, recommend, or auto-remediate.

Engineers receive a ranked root cause with confidence score, linked evidence, and a recommended fix. High-confidence known patterns close the loop — restart services, reroute, or dispatch.

Outbound integrations ServiceNow · Remedy · Slack · Teams · field dispatch · vendor EM callbacks

We sit on top of your OSS — we don't replace it.

Operators have spent years building their OSS stack, and that investment doesn't go to waste. NOC Copilot is a read-mostly intelligence layer that augments existing infrastructure — designed so a proof of concept can run on your historical data in weeks, not quarters.

IBM Netcool / OMNIbus
viaKafka Gateway · IDUC · ObjectServer SQL
Fastest path
Nokia NetAct / MantaRay
viaASCII forwarding · SNMP NBI · 3GPP CORBA · REST
Native
Ericsson ENM
via3GPP CORBA FM NBI · FM SNMP NBI · BNSI · REST
Native
Huawei iManager U2000 / MAE
viaCORBA NBI · SNMP traps · REST / SOAP
Native
Cisco NSO
viaNETCONF over SSH · REST
Native
Any SNMP-capable element
viaSNMP trap receiver · syslog collector
Fallback
ServiceNow · Remedy · Jira
viaREST · webhooks · enriched ticket creation
Outbound

Incumbent platforms versus a purpose-built copilot.

Most AIOps platforms were built for cross-industry IT ops and adapted to telecom. Otter NOC Copilot was designed for telecom NOC alarms from day one.

Dimension
Incumbent platforms
Otter NOC Copilot
Scope
A platform for all IT ops, every industry
Purpose-built for telecom NOC alarms
Footprint
Buy the full OSS suite, commit long-term
Plugs into your existing stack in weeks
Vendor support
Works best with our own equipment
Nokia, Ericsson, Huawei, Cisco — same engine
Intelligence core
General-purpose ML bolted onto rule engines
A Telecom Foundation Model that speaks alarms, counters, and 3GPP specs
Time to value
Six-month deployment, then tuning
PoC on your historical data — weeks, not quarters, no live-network risk

Your data. Your environment.
Shape the copilot with us.

We're partnering with a small number of operators as design partners. Bring your historical alarm and ticket data; get early access, direct influence on the roadmap, and first results on your own network — no OSS rip-and-replace, no long-term commitment.

Design-partner program · On-premises or cloud · Your data never trains another operator's model