When a fibre is cut, the NOC sees thousands of alarms and one cause. An AI NOC assistant correlates them against topology, proposes the likely cause with its evidence, and drafts the ticket. The engineer decides.
All Telecoms →
Network operations is a correlation problem. A transport link fails and every site behind it reports loss of signal; a power outage takes down a cabinet and the alarms cascade through RAN, backhaul and core. Rule-based correlation in the fault manager catches some of it, but rules drift out of date as the network changes, and the hardest incidents are the ones nobody wrote a rule for.
AIOps in telecom works when it has topology. Alarms correlated by time alone produce clusters; alarms correlated against the inventory of what connects to what produce a cause. So the first piece of work is always the network inventory and its quality, and we say so before anyone promises a model.
fault management, syslog, performance counters
against inventory and recent changes
ranked, each with its evidence
procedure retrieved, ticket drafted
cause, priority and next action
any network change, approved and logged
We replay incidents you have already resolved, with their real alarm streams, and compare the system’s probable cause and timing with what your engineers found. That gives a measured answer on your network, including the incidents where the cause was unusual, before anything goes live. In production, every hypothesis the engineer rejects is logged with the reason and used to improve the next one.
An AI NOC is a network operations centre where models help engineers handle alarms and incidents: correlating alarm floods to a probable cause, retrieving the right runbook, drafting tickets and summarising what changed. In the version we build, engineers remain in charge, and any change to the live network goes through the normal change process with approval.
AIOps applies machine learning and, increasingly, language models to operations data: alarms, logs, performance counters and tickets. In telecom the value comes from correlating events across network layers using topology, detecting anomalies before customers notice, and cutting the time to diagnosis. Its quality depends heavily on the accuracy of the network inventory.
No. It sits beside it, reading alarms from your existing fault and performance management and writing tickets into your existing ticketing tool. Replacing those systems is a much larger programme and is rarely what limits diagnosis speed.
What we built, what stage it is at, and a link to the live thing wherever there is one.
yourOS is an operating system with an AI at its heart. You talk to it like a person, out loud or typed. It makes your calls, plans your days and works on your projects with a crew of agents, on your own private server. Our own product, built from the first commit; the waitlist is open.
Website, backend and app assets for Sonora, a free AI sound-therapy app on iOS and Android published by Cognitive AI.
Brand, website, prototype, apps on five platforms, the AI backend and the algorithm-intelligence pipeline for Podswap, a social growth engine that runs without a human in the loop.
In closed beta: Roxy, a private AI assistant with permanent memory running on infrastructure the user owns. Brand, site, product, backend and conversational design.
Live at coherence.com: brand identity generated with AI agents we directed, the motion system and website for the group behind Sonora, AboutAI, WakeUp and MudShadows. Agent work remains in build.
Live at domainbooth.com for DomainBooth, a premium domain brokerage: a new animated mark, every page redesigned and rebuilt with designed mobile layouts, and a custom CMS for its sales record, featured names, press and enquiries.
Bring the alarm log from a past major incident. We will show what the system would have concluded.
30-minute technical call · no deck