Otter RAN 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 in under 90 seconds. Vendor-agnostic. Deployed in weeks, not quarters.
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.
Otter RAN 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.
ML correlation trained on 6–12 months of your historical alarm and ticket data. The model learns how your network actually fails — topology, seasonality, vendor behavior, traffic patterns, and all.
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.
Operators have spent years building their OSS stack, and that investment doesn't go to waste. Otter RAN is a read-mostly intelligence layer that augments existing infrastructure. Most proofs of concept light up within two to four weeks.
Most AIOps platforms were built for cross-industry IT ops and adapted to telecom. Otter RAN was designed for telecom NOC alarms from day one.
A four-week proof of concept on your historical data. Fixed price. No OSS rip-and-replace required. You see the 20% of alarm patterns driving 80% of your tickets before you commit to anything.