AURA is DvSum's Control Plane for Agentic AI — the intelligence layer that turns every network signal into a closed-loop decision. ANI is the first solution that runs on it. Broadband operators experience ANI. AURA is what makes it possible.
How It Works
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
Everything your network needs to go from signal to action — without moving your data.
Your data stays in your network. A lightweight gateway deploys inside your perimeter. Raw telemetry, subscriber records, topology — processed at the edge. Nothing moves to the cloud. Sovereign by design. Patented.
The reasoning engine. DOCSIS domain knowledge, topology graph, three-pillar RCA, confidence scoring, operator-configurable rules. Not a generic LLM. A domain-trained intelligence layer that understands what upstream SNR degradation means — and what to do about it.
Where decisions land. NOC workqueue, contact center co-pilot card, automated CMTS config push, ticketing system. DvSum's pre-built solutions (ANI) or your own stack via MCP/APIs. The action layer completes the loop.
Data Sovereignty · Patented Architecture
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."
AI Maturity
AI has four levels. Most tools stop at one.
01
Answer
You ask. You decide.
"Which nodes have upstream SNR degradation?"
02
Assist
You review. You confirm.
"Top 5 at-risk nodes — pre-filled dispatch recommendation ready."
03
Automate
You approve. AI acts.
"Dispatch ticket created, held for NOC sign-off."
04
Autonomous
AI acts. You are informed.
"CMTS config adjusted. NOC alerted with full RCA summary."
DvSum is the only platform built for telecom that operates across all four levels. You define which level your team is ready for — and the boundary moves as your confidence grows.
What's Live. What's Next.
One platform. Operational AI maturing across the network and the subscriber.
| Network | Subscriber | |
|---|---|---|
| Reactive |
Live
HFC Alarm Prioritization P0/P1/P2 ranked by subscriber impact. RCA with reasoning. Pre-loaded work order. |
Live
Contact Center Triage 5-domain check at call open. Plant vs. in-home isolation before the agent says a word. |
| Proactive |
Live
Silent Failure Detection Sub-threshold nodes caught before failure. Fragility index. Chronic dispatch pattern surfaced. |
Coming Soon
Subscriber Experience Monitoring QoE degradation detected before the subscriber calls. Proactive outreach. Churn-risk scoring. |
| Preventive |
Coming Soon
Network Health Intelligence Congestion root cause typed. Provisioning mismatch caught before impact. Equipment aging ranked. |
Coming Soon
Always-On Subscriber Assurance Continuous QoE baseline. SLA exposure surfaced before breach. Capacity prioritized by revenue at risk. |
Platform Foundation
DvSum reads from both OSS and BSS, reasons across both, writes back to the right system.
OSS Layer
BSS Layer
DvSum
Sense · Reason · Act
NOC Dashboard / CC Agent Screen
Human-in-the-loop
Ticketing System
Work order pre-loaded with RCA
Network Element (CMTS / Modem)
Confidence-gated · operator-configured
What Makes This Possible
ANI is what operators experience. AURA is what makes it possible — and what makes any agentic AI operational. Four components: Metadata & Ontology, Domain Skills, Data Collection Endpoints, and Closed Loop APIs. Assembled per query. Scoped. Grounded. The reason DvSum doesn't hallucinate in an HFC plant while generic AI tools do.
For AWS SAs, SI architects, and technical evaluators who want the full architecture story.
Independently Validated
AWS published the Semantic MCP Server pattern — deploy models at the edge, keep sensitive data on-prem, send only structured metadata to the cloud. CableLabs published the AI-Native Networks framework — distributed intelligence that senses, reasons, and acts in real time across edge, access, and centralized domains. DvSum was already running both in production at LLA before either paper was written.
Production, Not Pilot
LLA — 1.2M+ subscribers
Live operational deployment. 8+ integrated source systems. Sovereign data requirements met. 41.7% call containment. 50% NTF-specific truck roll reduction. Live metrics, not benchmarks.
Telco-Native, Not Adapted
DOCSIS knowledge built in
Built from production HFC deployments — not adapted from generic ML. The system knows what upstream SNR degradation means and what ingress noise looks like at 2am vs. 6pm. Earned, not licensed.
Sovereign by Architecture
Patented edge gateway
Data never leaves the operator's perimeter. Not a compliance policy — a patented architecture. The edge gateway processes everything locally. Results return to the cloud. The data never moves.
Domain Is the Moat
What hyperscalers don't replicate
Hyperscalers build the runtime. They don't build the domain. AWS doesn't know that upstream SNR degradation means something different than downstream in an HFC plant. Domain specificity is what they partner for.
Common Questions
We'll show you a live data audit on your NXT telemetry — no operations impact, no workflow change. You see your actual node prioritization, RCA patterns, and silent failure risk. It either confirms you have a gap or proves you don't.