Purpose-built platform for network operators enables sovereign on-premises AI, operator-built SLMs, policy-governed access to frontier models, and zero trust AI security, all on a single token charging and service assurance platformRICHARDSON, Texas, June 18 (Bernama-GLOBE NEWSWIRE) -- Mavenir today announced an Integrated AI Platform developed in collaboration with Red Hat that enables network operators to monetize AI the way they already monetize data; through token-based consumption plans, billed on the phone bill, with full control over pricing, service-level agreements (SLAs) and the models that power every interaction. The Integrated AI Platform will operate across three models: operator-branded AI services for their own subscribers; as the AI infrastructure layer powering operator AI grid deployments; and as a managed AI platform through which operators offer AI capabilities to enterprise customers on a token-based consumption basis. Using
Red Hat AI as a unified platform that brings together AI capabilities running on Kubernetes infrastructure powered by Red Hat OpenShift, Mavenir’s Integrated AI Platform empowers operators with a flexible, sovereign-first architecture. This allows operators to utilize on-premises models and custom-built small language models (SLMs) that can handle a wide range of use cases, while also benefitting from selective, policy-governed connectivity to frontier models for tasks that demand cutting-edge reasoning capability. Operators control which model handles which request, who pays for it and how it is billed.
AI Monetization: The Operator OpportunityThe global AI services market is generating new revenue streams that network operators are uniquely positioned to capture. Token-based AI consumption, the unit model powering every large language model interaction, mirrors the mobile data billing paradigm operators have mastered for decades. Monthly AI token plans, per-department enterprise quotas, and SLA-backed tiers for operator-provided AI services represent a structurally new monetization layer on top of existing connectivity.
To realize this opportunity, operators need production-grade AI infrastructure that controls sovereign on-premises compute, intelligent model routing, token-accurate metering, carrier-grade service assurance, and billing integration. Critically, no single deployment model fits every use case. Routine use cases belong on operator-owned SLMs for cost and sovereignty reasons. Complex reasoning tasks may warrant selective access to frontier models. Built in collaboration with Red Hat, Mavenir’s integrated AI platform supports both modes under a single policy and charging framework, giving operators a hybrid architecture that maximizes economics without sacrificing capability where it matters most.
The Integrated AI PlatformThe Integrated AI platform brings together Mavenir's AI software platform with Red Hat's enterprise Kubernetes and AI capabilities, delivered on validated hardware from third-party partners. The result is a carrier-grade, cloud-native AI infrastructure platform that operators can deploy on-premises with enhanced data sovereignty. The architecture is designed as hybrid, using default on-premises and open-source models to serve most of the traffic, while Mavenir’s model router provides policy-governed, metered access to external frontier models for use cases that require advanced reasoning or multimodal capability. The platform enables agentic operations and orchestration, intelligent model routing and token optimization, AI platform-as-a-service (PaaS) and MLOps capabilities powered by Red Hat AI; token charging and billing via Mavenir Digital Enablement, closed-loop service assurance, zero trust identity, authentication and AI security, all supported on the carrier-grade container infrastructure of
Red Hat OpenShift, the industry’s leading hybrid cloud application platform powered by Kubernetes.
Three Operating ModelsThe platform supports three distinct operating models, giving operators flexibility in how they deploy and monetize AI:
Enterprise AI Platform: The operator offers metered access to AI models, compute resources and AI tooling to enterprise customers as a value-added service alongside existing connectivity contracts. Enterprise customers deploy their own applications or consume AI APIs on a usage basis. The operator provides infrastructure and platform SLAs; enterprise application SLAs are governed by the specific service agreement between operator and customer.
AI Grid Infrastructure: The operator uses the platform as the compute and AI fabric for AI grid deployments, hosting network-embedded AI applications and third-party workloads on operator-controlled infrastructure. The platform provides infrastructure-level availability guarantees; application performance and service levels are the responsibility of the application owner unless the operator packages the application as its own managed offering.
Operator AI Services: The operator runs the platform to deliver AI-powered products and services to its own subscribers. This includes AI assistant plans billed by token consumption, AI-enhanced network services, and operator-branded AI applications. The operator owns the commercial relationship, sets the SLAs, and retains full control over pricing, branding and service quality.
The platform is designed to deliver tangible outcomes, including: