
Many enterprises and building owners start with a neutral host network to deliver critical public mobile coverage for employees and tenants. When needed, they can easily add a private network to run their applications.
Each InfiniG Connect partner brings unique strengths, giving you the flexibility to find the best fit for your environment and goals. Important considerations include:
Not sure where to start? We’ll help match you with a partner that fits your priorities.






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Adding a private network is simple with InfiniG Connect. Getting started takes just three easy steps:


Yes. InfiniG Connect and qualified partners provide a path to add private cellular services while reusing compatible elements of the MCaaS deployment. The design depends on use cases, devices, coverage, capacity, security, and core-network requirements, but shared site infrastructure can simplify expansion compared with deploying an entirely separate network.
Possibly. These integrations are evaluated case by case because private 5G networks vary in RAN architecture, spectrum use, core platform, device policies, security, and operational ownership. Contact the InfiniG team to review the existing network and determine whether public mobile-operator coverage can be added and which components may be reused.
InfiniG provides detailed operational visibility into the health and performance of the indoor cellular network at a level that generally cannot be achieved when using mobile-operator spectrum. Depending on service and access level, this can include availability, radio and backhaul status, alarms, aggregate usage, connected-device counts, call and session KPIs, mobility performance, and portfolio trends. It does not allow the enterprise to read users' calls, messages, or application content.
The AI-RAN Alliance organizes the opportunity into three areas: AI-for-RAN applies AI to improve network performance and efficiency; AI-and-RAN coordinates RAN and AI workloads on shared infrastructure; and AI-on-RAN delivers AI services at the network edge through the RAN. InfiniG is focused primarily on AI-and-RAN for the enterprise. The evolution path is to support local AI inference and private LLM workloads close to enterprise data and devices without compromising the latency, capacity, reliability, and mobility required by physical-AI applications such as automated guided vehicles, autonomous mobile robots, and robotics. Workload isolation, resource reservation, quality-of-service policies, and orchestration are essential so AI compute does not jeopardize RAN performance. This is an evolution path rather than a requirement for MCaaS today; availability depends on the compute platform, private-network architecture, and application requirements.