YOUR CLOUD. Full CONTROL.
UsageCloud Private
Usage data collected, processed, and orchestrated at the pace AI demands — feeding your monetization stack, your AI operations, and every system that depends on trusted data. An agile monetization platform your team runs through their AI assistant. In your cloud, behind your firewall.
5–40x
Faster usage processing
MCP built-in
Headless, AI-assistant-ready operations
Zero downtime
CI/CD and canary-compatible upgrades
Any K8s
Kubernetes environment supported
Modern monetization in your cloud operating model
Enterprises in regulated and data-sensitive industries, need to bring modern usage monetization and cloud-native agility into an environment they control with the deployment model, security policies and data boundaries their business requires.
Telecom and CSPs
Usage monetization sits next to the network, handling high and fluctuating usage data volumes under strict availability requirements. Subscriber and network data is sensitive
Financial services
Security, regulatory and data-governance requirements are strong, and transactional data is sensitive. Infrastructure has to stay controlled, and integrate with core banking and payment systems.
Utilities and energy
Critical infrastructure demands operational resilience and data sovereignty. Meter and IoT data arrives in large volumes, and integrates closely with operational technology and legacy systems.
Stay private – Why?
UsageCloud Private is for enterprises that want the agility and operating model of cloud-native software while running usage monetization in the Kubernetes environment that fits their business. Your infrastructure strategy stays yours. Your teams stay in control of how the platform is deployed and operated.
01
Modernize monetization with your cloud strategy
Your business and revenue systems are moving to modern cloud architectures. UsageCloud Private brings the usage layer with them, running cloud-native usage monetization on the Kubernetes environment your enterprise already operates.
02
Keep sensitive data within your governed environment
Subscriber, transaction, meter and service data can carry strict requirements around access, location and processing. UsageCloud Private is single tenant and runs in your private cloud, so your organization controls the infrastructure, storage, access policies and deployment topology.
03
Meet regulatory requirements without holding back modernization
Compliance requirements should shape where and how sensitive data is processed — not force revenue systems to remain on legacy architecture. UsageCloud Private lets you apply your organization’s security, governance and regulatory controls within a modern Kubernetes operating model.
04
Scale with usage, not peak capacity
Usage volumes move. Kubernetes-based horizontal scaling lets capacity expand as configured demand thresholds are reached and workloads be right-sized as demand changes.
Core monetization capabilities, by product
Across the DigitalRoute product family, raw usage can be transformed into reliable data for monetization and downstream business systems. The native capability set depends on which deployment you choose.
| Capabiiity | Description | UsageCloud | UsageCloud Private | MediationZone |
|---|---|---|---|---|
| High-Fidelity Data Mediation | Process usage as it arrives — validate, correct, enrich, aggregate — so only trusted, audit-grade data reaches the systems downstream. Explore more | Yes | Yes | Yes |
| Granular Tracking & Metering | Meter consumption in any unit you price on — granular per customer, product and feature, with real-time meter state and full lineage to source. Explore more | Yes | Yes | Yes |
| Instant Entitlements Orchestration | Evaluate usage against live entitlements — quotas, prepaid credits, commits — and enforce in motion: throttle, alert, upsell. Explore more | Yes | Yes | Yes |
| Agile Pricing | Execute usage-based pricing directly on the platform — multi-dimensional, effective-dated — with immediate revenue visibility. Explore more | Yes | No* | No* |
| In-Stream Usage Intelligence | Anomaly detection and plain-language explanation of what changed — built into the platform, no separate ML stack. Explore more | Yes | No* | No* |
| Revenue Data Orchestration | Deliver finance-grade rated records and usage summaries to billing, ERP, AR and revenue-recognition systems, from a single source of usage truth. Explore more | Yes | Yes | Yes |
*Built by DigitalRoute professional services as custom projects on demand
Compare your usage monetization options.
| UsageCloud | UsageCloud Private | MediationZone | |
|---|---|---|---|
| Is a best fit when | You are building on cloud-native revenue systems and want DigitalRoute to run it for you. | Kubernetes is your standard and data needs to stay in the environment you control | You operate VM or physical infrastructure |
| Runs on | AWS | Your Kubernetes cluster: your own private cloud, or managed Kubernetes on AWS, Azure, Google Cloud or Oracle Cloud | Your VM and physical infrastructure |
| Operated by | DigitalRoute | Customer operated, partner hosted or fully managed deployment options | Customer operated |
| Tenancy | Multi tenant | Single tenant | Single tenant |
| Data resides | DigitalRoute-managed cloud regions | Horizontal, on demand | Provisioned capacity |
| Scaling model | Managed, automatic | Yes | Yes |
Built for headless UX
You build and change monetization workflows in a modern, configuration-driven graphical interface and connect your AI assistant through the built-in MCP server to read, explain, and inspect your setup in plain language. Topology, health, logs, and capacity: asked and answered when you need them.
Know your whole setup
What’s running, where it lives, how it connects. Asked, not hunted down.
Self-explanatory logs
Recurring warnings surfaced, root causes pinpointed. No digging.
Health in one question
Pod states, alarms, a one-page system check. On demand, not on a dashboard.
See the slowdown coming
Overloaded components spotted, scaling recommended — before it’s an incident, and before it’s wasted cloud spend.
Scale out, not up.
The old world scaled by buying a bigger server. UsageCloud Private adds a node the moment usage grows — and AI consumption, IoT, and always-on services are making sure it does.
01
Elastic by default
Capacity follows usage. Add nodes, not hardware. Pay for what runs, not what you provisioned for peak.
02
Always on
Active-active: every node live, every node sharing the load. Failover is just redistribution, no standby to wake, no switchover to survive.
03
Productive in days
Standard Java, not a proprietary scripting language. Your engineers already know how.
04
Ships faster, breaks less
A leaner, fully tested core. New capability arrives release after release, with fewer regressions.
One cloud. Three use cases. Full control.
The same high-fidelity usage data that feeds your revenue stack is the foundation for AI-led operations — and the record you answer to afterwards. Produced once: accurately, at scale, in your environment.
REVENUE OPERATIONS
Billing, recognition & settlement
Finance-grade usage records delivered to billing, ERP, revenue recognition, reconciliation, and partner settlement systems. The data accuracy required to bill on usage and close books with confidence.
AI-LED OPERATIONS
Agentic NOC & network intelligence
High-quality, normalized usage and event data routed to AI operations platforms and analytics systems. The accurate, real-time data foundation that AI agents (including Telco Agentic NOC) require to act reliably on network and service events.
REVENUE ASSURANCE
Audit trail & dispute resolution
Every processed record traceable to the source event behind it, and reproducible long after the fact. The evidence required to answer an audit query, settle a partner dispute, or explain a variance months later.
FAQ
Common questions.
01
What is UsageCloud Private?
A Kubernetes-native agile monetization platform you deploy and operate in your own IT environment: private cloud, public cloud, or on-premises. DigitalRoute delivers the software, updates, and support; your team runs the infrastructure.
02
What does headless operations mean here?
UsageCloud Private includes a built-in MCP (Model Context Protocol) server, so MCP-compatible AI assistants can query deployment topology, system health, logs, and resource usage directly — in plain language, without the GUI. Access follows your existing security and role controls and runs within your environment. Operating workflows and configuration the same way is the next step, built on the same foundation.
04
Where can it run?
Anywhere you have a compatible Kubernetes cluster: AWS EKS, Azure AKS, Google GKE, Oracle OKE, OpenShift, Rancher, VMware Tanzu, or on-prem, with standard services for storage, DNS, load balancing, databases, and certificates.
03
Can our NOC and AIOps tools use the same data?
UsageCloud Private turns network and service data into trusted, normalized records for operations and finance alike. That shared foundation routes to AIOps, analytics, service assurance, and NOC tooling in real time — no separate pipeline for every consumer. Operations get consistent context for monitoring and automation; finance and operations stay aligned on the same view of service activity.
05
How does it integrate with existing DevOps pipelines?
Workflows and configurations are packaged as deployable images, built and deployed via GitLab, Jenkins, or similar CI/CD tooling. Canary releases and zero-downtime upgrades are supported natively via Kubernetes and Istio-compatible service meshes.
05
How do we size it and what happens when volumes spike?
Scale out as volumes grow, with the option to right-size each workload when needed. Kubernetes autoscaling adds capacity as configured demand thresholds are reached, while your team retains control of high availability, resource policies, and deployment operations through UsageCloud Private and your own Kubernetes environment.