One End-to-End Infrastructure.
Autonomous Networks.
Autonomous networks run on knowledge, not more dashboards. Prometheux turns your network, OSS and BSS data and your engineers' expertise into rules that run where the data lives, so systems and agents can diagnose and decide from consistent, traceable results: same data, same rules, same result. Then reuse it to cut cost, protect revenue and grow customers. No rip-and-replace, value in weeks.
Proven in production
Automation Runs Scripts.
Autonomy Needs Knowledge.
Operators want networks that run closer to autonomy and AI that cuts cost and grows revenue. But network operations, customer care, marketing, finance and security each work from their own systems, automation only covers scenarios someone already scripted, and AI pilots give answers nobody can check, so they never reach production.
Built for
Level 4
TM Forum's Level 4 blueprint describes autonomous networks that make cross-domain decisions based on knowledge and inference, with people supervising rather than executing. Most operators have automated the scenarios they already know and stalled at Level 3. The missing piece is a knowledge plane: one operator-owned model of the network and its rules that systems and agents can reason over, with every decision traceable.
Sense
Alarms, telemetry, inventory, topology and change records are read in place, across vendors, domains and clouds. Rules re-run on a schedule or when the data changes.
Understand
One network and service model ties physical, logical and service layers together, so rules can trace modeled dependencies at any depth, from a cooling fault to the services and customers potentially affected.
Decide
Root cause, blast radius, capacity and change-safety checks run as deterministic rules: the same input data and rule version produce consistent diagnostic results, with a traceable explanation.
Act
Agents and automation call those rules over MCP and the API. Actions run through your existing orchestration and change processes, with the evidence attached, so engineers supervise instead of executing.
Move from scripted automation to knowledge-based decisions. One knowledge plane across vendors, owned by you. Closed loops your engineers can supervise and audit.
Where Telco Teams
Start
Most operators begin with autonomous network operations, then reuse the same knowledge plane for customer, fraud and business teams, so each new use case starts further ahead.
Autonomous Network Operations
Move network operations from scripted automation toward Level 4: diagnose, predict and decide across domains on one knowledge plane.
Customer Experience, Consumer and Business
Grow and keep consumer and business customers with offers and actions every channel can explain.
Fraud, Risk and Compliance
Stop fraud early and answer auditors and regulators with lineage.
Business Operations
Close revenue gaps and run the back office on the same rules as the network.
The Questions Other
Tools Can't Answer
Root Cause Under an Alarm Storm
Which single upstream element explains the largest share of the last ten minutes' alarms, and what was the earliest change on it? A recursive walk from every alarm to its ancestors, counted per ancestor.
Blast Radius With Revenue
If this node fails, which services degrade, which customers lose service, in which SLA tier, and how much recurring revenue is exposed, through which path?
Subscription Fraud Rings
Which accounts are linked, at any depth, through shared identity documents, payment details or contact data? Connected components over the shared attributes, with every link cited.
One Asset, Many Records
Which inventory entries across systems, or across merged operators, are the same physical asset? Every match cites its rule. See entity resolution.
One Plane Across
Every Domain
Typical network-intelligence platforms copy data into their own store and add a digital twin on top. Prometheux sits between your network data and the people, tools and agents that act on it, and runs the knowledge where the data already lives.
Same Layers.
Better Built.
Map a typical telco data or network-intelligence stack to Prometheux and the difference is where the work happens: in place, in rules you own, with an answer you can check.
Rack to Pod,
in Seconds
In a tier-1 operator's R&D lab, Prometheux connects inventory, Kubernetes state and live alerts in place and maps the hierarchy from rack to server to node to pod across clusters. When alerts fire, it finds whether failures share a rack, server or cluster, flags components still running but at risk, and projects resource trends so warnings arrive before thresholds are crossed. Engineers and agents reach the same rules over dashboards and MCP.
Owned, Not Vendor-Bound
The knowledge plane spans vendors and domains and stays with the operator, in rules your engineers can read and version.
Deterministic and Explained
Same data, same rules, same result, with the rules and source rows behind it. Traceable decisions support controlled automation through validated policies and your existing orchestration.
Built for Network Scale
Rules run as distributed, parallel jobs, with optional GPU acceleration, on compute you already have. See high-performance engine.
Portable by Design
Run in Prometheux cloud, your cloud, or on your own Kubernetes inside the lab or the network estate. See on-premises.
Codify network knowledge once. Reuse it for diagnosis, prediction and response. Give agents rules they can be trusted to act on.
One Use Case.
Then the Next.
Connect in Place
Point Prometheux at the systems behind one use case: inventory, telemetry and alerting, or usage, billing and CRM. The data is processed where it lives; nothing is copied.
Codify the Knowledge
Your engineers and analysts, our forward deployed engineers and the AI assistant turn topology, runbooks, policies and expertise into readable rules in days, not months.
Run One Use Case
Root cause, blast radius, churn signals or revenue leakage, on live data, for teams and agents alike.
Expand Domain by Domain
Each new domain or team reuses the rules and connections already in place, so the plane grows without rebuilding context for every tool.
Questions,
Answered
How does this help us reach Level 4 autonomy?
Level 4 needs decisions across domains based on knowledge, not just more scripted workflows. Prometheux provides that knowledge plane: one model of your network and its rules, running in place, that systems and agents can call for deterministic answers with the evidence attached. It works alongside your orchestration, assurance and vendor tools rather than replacing them, and operators typically start with one domain, such as root cause in a lab or one region, then expand.
Is this another data store or digital twin?
No. Prometheux reads your inventories, telemetry, alerts, configuration, usage and billing data where they already live, across clouds and on-premises, and runs the rules there. The model is logical: there's nothing new to migrate or keep in sync.
Our equipment vendor says its stack does this. Why add Prometheux?
Equipment vendors' intelligence layers are strong inside their own domain. A knowledge plane for Level 4 has to span vendors, domains and clouds, and belong to the operator. Prometheux works alongside vendor tooling and reads from it.
Do we have to replace our OSS, BSS or assurance tools?
No. Keep them. Prometheux reads from them, adds the cross-domain reasoning, and writes results back to the systems your teams already use, on a schedule, when data changes or on demand.
Is this only for network teams?
Network operations is where most operators start. The same rules and connections then serve customer, revenue assurance, fraud and finance teams, on the same network, OSS and BSS data, so each new use case reuses what is already there.
Can agents act on the network?
Agents call deterministic rules over MCP or the API and get an answer with its derivation, with the same access rights as the user they act for. Actions run through your existing automation and change processes, with the evidence attached.
What does it cost at our data volumes?
It depends on your data and use cases, so we measure it on yours rather than quote a generic figure. Most operators start with one domain or use case, prove the value, then expand on the same rules and connections.
Related Capabilities
Take One Step
Toward Level 4.
Root cause, blast radius or predictive assurance on your own network data first, then customer and revenue use cases on the same knowledge plane. Our forward deployed engineers will run it with you, in place, on your infrastructure.