MLNetworks
Software company building AI-native operations tools for tower companies, mobile operators and managed service providers in telecom infrastructure.
Industry: Telecom infrastructure software | Location: Riyadh, Saudi Arabia
About MLNetworks
MLNetworks develops software for running telecom infrastructure. Its platform is aimed at tower companies (TowerCos), mobile network operators and managed service providers, and pulls the alarms, energy data and field work attached to each site into one system so that operations teams can trace the cause of a fault, dispatch the right job and confirm that the repair worked.
The product is organised into modules. Network Monitoring and Incident Response groups related alarms into a single incident. Energy Management shows how sites use and lose power. Workforce and Scheduling covers dispatch and verification of field work, including proof of visit. Assets and Inventory keeps asset records and operating condition together, while Sites and Tenants ties site records to commercial delivery. Network Performance and Capacity reports the remaining headroom on each tower. Investment Planning, branded Smart CAPEX, compares options for a site, such as keeping and monitoring equipment or replacing ageing gear, against demand, asset condition and site constraints, then recommends one and records the assumptions and reasons behind it.
Newer additions include a workflow builder, scheduled reports and analytics, and AI agents that prepare an investigation for a person to review. The company also sells professional services covering the path from first workflow to rollout, and lists integrations with network, power, ERP and data systems.
MLNetworks describes its work as serving operators on four continents. It exhibited at MWC Barcelona 2025 and its website refers to customer stories and TM Forum Catalyst projects. The company is listed in the TechScoop directory as a seed-stage telecom startup based in Riyadh. Founders, funding rounds and customer names were not available in the material reviewed.