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Autonomous networks, from prediction to repair.

Next-gen OSS/BSS, network automation and AI-first operations for fixed, mobile and converged operators, moving from reactive firefighting to self-healing networks.

TM Forum aligned

Vendor-agnostic

Fast to deploy

From the core to the cell edge

72hr

Advance prediction

85%

Alarm noise cut

60%

Faster MTTR

40%

NOC cost cut

Quant AIOS , your network, run by AI.

QuantAIOS is TelioQuantAI for the network: an agentic operating system that runs six AI-native OSS products across the full operations lifecycle, from intent to device configuration. Take the whole stack, or start with the one product that solves your most expensive problem. Each runs on its own, and they compound when QuantAIOS runs them together.

Q-Platform

The foundation every product runs on. One secure portal with single sign-on and role-based access, an open API gateway, and a single console for operations and agent health.

Q-Assure

Topology-aware fault correlation, root cause and SLA monitoring. Alarm storms collapse into a handful of real incidents, and degradation is flagged before customers feel it.

Q-Fulfill

Quote to live service in one flow. Order orchestration, automated activation and field workforce, with feasibility, approvals and automatic rollback built in.

Q-Inventory

A single, geo-referenced source of truth for physical, logical and service inventory. TMF-aligned, auto-discovered and continuously reconciled against the live network.

Q-Mediate

High-throughput CDR and XDR mediation with usage, capacity and SLA-based rating. Every event collected, normalised and rated for billing, charging and analytics.

Q-Agent

The agent runtime and factory QuantAIOS builds on. New vendor and domain specialists from your own documentation in about 48 hours, coordinated with full business context end to end.

A telecom language model, not a generic chatbot.

Inside QuantAIOS sits a standards-fluent language model purpose-built for OSS and network operations. It reads eTOM and SID, MEF service types and 3GPP fault semantics natively, not guessed from general training, and it runs inside your own environment so no operational data ever leaves.

Telecom-pretrained foundation

Built on a telecom-pretrained Llama-3 base, grounded in 3GPP specifications and telecom literature, not a general model pointed at telecom after the fact.

Stacked, swappable adapters

Adapters for TMF and MEF workflows, fault-management reasoning and vendor packs (Cisco, Nokia, Juniper) stack or swap per use case, with no catastrophic forgetting.

Runs inside your boundary

Deploys locally via Ollama. No customer data leaves your environment, a direct fit for data-sovereignty and security requirements.

Embedded in assurance

Turns deterministic correlation output into clear, standards-cited root-cause explanations a NOC engineer can act on.

From telemetry to repair, in one loop.

Ingest

SNMP, NETCONF, syslog, CDR & OSS/BSS feeds, normalised in real time.

Predict

Topology-aware models forecast faults up to 72 hours ahead.

Decide

Agents correlate, attribute root cause, and plan remediation.

Repair

Config pushed via NETCONF/CLI, validated, rolled back if needed.

Make your network autonomous.

Book a working session focused on your environment.
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