The Platform

One platform. Every network signal. Every decision. Closed loop. One platform. Every signal. Every decision. Closed loop.

DvSum's Active Network Intelligence platform gives your NOC and contact center a single intelligence layer — reasoning continuously across your network and subscribers, surfacing what matters, and closing the loop from signal to action. Built for operators. Sovereign by architecture. In production today.

Scroll to explore the architecture

Sovereign

Data stays in your network

Patented edge architecture · no data movement

Domain

DOCSIS-native intelligence

Built from production HFC · not adapted from generic ML

41.7%

Call containment rate

LLA · Genesys Engage · network tech support

50%

NTF truck roll reduction

NTF dispatches only · LLA deployment

How It Works

Sense. Reason. Act. Learn.

Signals in. Decisions out. Humans in control. The loop doesn't stop.

Sense

Every signal. In place.

Network telemetry, modem & CPE data, OSS/NMS, BSS/CRM, contact center — all flowing into one stream. Nothing moved. Nothing copied.

Reason

Graph intelligence. Domain expertise.

Correlate signals, identify root cause, decide the action with confidence. DOCSIS domain knowledge built in — not a generic ML model.

Act

Closed loop. Human in control.

Automated where confidence is high. Recommendation surfaced for human approval where it matters. The automation boundary is yours to define.

Learn

Every action feeds the next decision.

Analyst feedback, post-repair telemetry, outcome signals — continuously sharpening the model. Month three is more accurate than month one.

"Every signal closes a loop. Every loop sharpens the next decision."

The Architecture

Three layers. One platform.

Everything your network needs to go from signal to action — without moving your data.

DvSum platform architecture: three layers — Data (Sovereign Edge), Intelligence Core (Knowledge Graph, Domain Reasoning, AI Models, Learning Engine), and Consume (DvSum Agentic Stack and Your AI Stack)

01 Data Raw telemetry, subscriber records, and topology — processed at the edge inside your perimeter. Nothing moves to the cloud. Sovereign by design. Patented.

02 Intelligence Domain-trained reasoning across your full network graph — DOCSIS topology, cross-layer RCA, confidence-scored decisions. Not a generic LLM.

03 Consumption Decisions surface in your NOC workqueue, contact center co-pilot card, ticketing system, or network element — via DvSum Active Network Intelligence (ANI) or your own stack through MCP APIs.

Data Sovereignty · Patented Architecture

Your data never leaves your network.

Data stays in your network

Raw telemetry, subscriber records, network topology — all processed at the edge inside your perimeter. Nothing moves to the cloud. Sovereign by design. Patented architecture. Not a policy statement — an architectural guarantee.

Unified Knowledge Graph

A single connected graph across every asset — subscribers, nodes, CMTS, OLT, ONT — built and maintained inside your network. Full-stack context, in place. The graph is what makes cross-layer reasoning possible without moving data.

AI acts at the edge

At runtime, LLM instructions flow to the Edge Gateway and execute directly against local data. Results return to the cloud. Your data never moves. The AI comes to the data — not the other way around.

"Patented. Sovereign by design. The only AI control plane that doesn't require you to move your data."

What's Built For You

Six capabilities. Two solutions. One platform.

Network operations and subscriber experience — one platform, two solutions, six capabilities. Each one links back to everything else.

	Network	Subscriber
Reactive	HFC Alarm Prioritization P0/P1/P2 ranked by subscriber impact. RCA with reasoning. Pre-loaded work order.	Contact Center Triage 5-domain check at call open. Plant vs. in-home isolation before the agent says a word.
Proactive	Silent Failure Detection Sub-threshold nodes caught before failure. Fragility index. Chronic dispatch pattern surfaced.	Subscriber Experience Monitoring QoE degradation detected before the subscriber calls. Proactive outreach. Churn-risk scoring.
Preventive	Network Health Intelligence Congestion root cause typed. Provisioning mismatch caught before impact. Equipment aging ranked.	Always-On Subscriber Assurance Continuous QoE baseline. SLA exposure surfaced before breach. Capacity prioritized by revenue at risk.

Network

Subscriber

Reactive

HFC Alarm Prioritization

P0/P1/P2 ranked by subscriber impact. RCA with reasoning. Pre-loaded work order.

Contact Center Triage

5-domain check at call open. Plant vs. in-home isolation before the agent says a word.

Proactive

Silent Failure Detection

Sub-threshold nodes caught before failure. Fragility index. Chronic dispatch pattern surfaced.

Subscriber Experience Monitoring

QoE degradation detected before the subscriber calls. Proactive outreach. Churn-risk scoring.

Preventive

Network Health Intelligence

Congestion root cause typed. Provisioning mismatch caught before impact. Equipment aging ranked.

Always-On Subscriber Assurance

Continuous QoE baseline. SLA exposure surfaced before breach. Capacity prioritized by revenue at risk.

Platform Foundation

Your existing systems stay in place.

DvSum reads from both OSS and BSS, reasons across both, writes back to the right system.

AURA — The Intelligence Layer

Your AI agents are only as good as what they know. AURA is what makes them production-worthy.

Four components assembled per query: domain ontology, live network telemetry, DOCSIS reasoning skills, and closed-loop APIs. Every answer is grounded in your actual network — not a generic model's best guess. Sovereign by architecture. Patented.

Explore AURA Architecture →

NOC Analyst

"Which nodes in the Northwest region have upstream SNR degradation and more than 2 dispatches in the last 30 days with no resolution?"

→ Pulls topology, alarm history, and dispatch records. Returns a prioritized node list with RCA and recommended action.

Director of Network Ops

"What is our projected call-volume impact if we defer the node splits scheduled for Q3?"

→ Runs outage-risk model against deferred nodes, cross-references call-volume prediction, returns cost-of-inaction estimate.

Platform / Tech Ops Engineer

"Show me all nodes where the silent-failure pattern matches the pre-outage signature from the Liberty incident last October."

→ Queries telemetry history, pattern-matches against the known signature, returns matching nodes with confidence scores.

Built to Compound

Start with one use case. The platform learns. Every new capability builds on what's already running.

One ontology. Every use case.

The network topology, subscriber relationships, and domain knowledge built for alarm prioritization are the same foundation that powers contact center triage, silent failure detection, and congestion intelligence. You don't rebuild. You extend.

NOC and contact center. Same intelligence layer.

When a node degrades, the NOC gets an impact-ranked alarm and the contact center gets a pre-loaded subscriber context simultaneously. One event. Two teams. One platform. No duplication of effort, no lag between signals.

Every deployment makes the next one faster.

The domain skills, DOCSIS reasoning rules, and OSS/BSS connectors are pre-built and pre-validated in production. Liberty Latin America was in production in 13 weeks. Your deployment starts where theirs ended — not from zero.

Common Questions

What technical evaluators ask.

Does DvSum move our network data to the cloud?

No. Raw telemetry, subscriber records, and network topology are all processed at the edge inside your perimeter. A lightweight gateway deploys inside your network. Results return to the cloud — the data never moves. This is a patented architecture, not a policy statement.

Is this a generic AI platform adapted for telco, or purpose-built?

Purpose-built. DOCSIS domain knowledge — including what upstream SNR degradation means versus downstream, what ingress noise looks like at 2am versus 6pm, and what T3/T4 timeout patterns indicate — was built from production HFC deployments, not licensed or adapted from a generic ML library. That domain specificity is the moat.

How does DvSum integrate with our existing network monitoring and OSS stack?

DvSum connects read-only to your network monitoring platform and OSS stack, reasoning over normalized telemetry natively without duplicating data collection. DvSum's job starts above that layer. No rip-and-replace. Your existing systems stay in place.

What level of automation control does the operator have?

Full control. DvSum operates across four AI maturity levels — from co-pilot answers to fully autonomous closed-loop action. You define which level your team is ready for. The automation boundary is yours to set, and it moves as your confidence grows. Nothing acts autonomously by default.

Is this proven at production scale or still in pilot?

In production. Liberty Latin America — a 1.2M+ subscriber HFC network across 20 countries with 8+ integrated source systems — is a live operational deployment. Results include 41.7% call containment, 50% NTF truck roll reduction, and 88% RCA accuracy by week 6. These are live operational metrics, not pilot benchmarks.