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MLNetworks

Every site, one platform.

MLNetworks takes the alarms, energy data and field work behind your sites, so your teams can find the cause, send the right job and confirm the fix.

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A telecom tower against the sky
For TowerCos, mobile operators and managed service providers.

A dozen systems hold your sites. Your teams work from one.

  1. 01

    Investigate issues

    Alarms, site conditions and energy data are read together, so the NOC sees what failed and why.

    A fenced telecom site compound

    Site power issue

    Ridgeview RDG-0417

    Investigating

    3 related alarms, grouped into one incident

    • Mains failure02:14
    • Generator failed to start02:15
    • Low battery voltage03:02

    Finding

    Grid lost 7 times in 24 hours

    Evidence

    Generator did not start on the fifth outage

  2. 02

    Coordinate delivery

    The job is prepared, dispatched with the findings attached, and checked against the site once the engineer has left.

    The base of a telecom tower

    Inspect generator start circuit

    Ridgeview RDG-0417

    Completed

    Raised from the incident, with its evidence attached

    1. PreparedFinding and evidence attached
    2. DispatchedField team assigned
    3. On siteStart circuit inspected and repaired
    4. Completion evidence3 photographs, start test recorded

    Outcome review

    Generator starts on test. Site checked again.

  3. 03

    Prioritize investment

    Demand, utilization and asset condition go into the same investment decision, for active networks and passive infrastructure.

    A lattice telecom tower seen from below

    Why this one

    Repeated grid loss and a start failure put service at risk. The assumptions are listed with the plan.

    Power resilience

    Ridgeview RDG-0417

    3 options compared
    • Keep and monitor

      Decision driver: Recent repair

    • Replace aging equipmentRecommended

      Decision driver: Condition and performance

    • Upgrade power infrastructure

      Decision driver: Additional site load

The whole operation, on one platform.

Need help with integration and rollout?

Professional Services

What we solve

Three problems every site operator knows, and how we deal with each.

  • A telecom tower

    Problem

    Alarms arrive faster than the NOC can read them, and the cause sits in another system.

    How we solve it

    Related alarms become one incident, read against the site and its energy data, with a probable cause and a next step.

  • Equipment inside a site compound

    Problem

    Jobs go out without the background and come back without proof of visit.

    How we solve it

    Each job goes out with the findings behind it, and the photos and test results come back against the asset.

  • A telecom site seen from above

    Problem

    Capex decisions are made from separate spreadsheets, and the reasons get lost by the next budget round.

    How we solve it

    Options are compared side by side, and the drivers and assumptions stay with the business case.

Customer story

A tower company in the Middle East and North Africa

How a tower company cut its energy use by 8% and said yes to tenants faster

A tower company ran energy, faults, field work and colocation on one platform. Energy use fell by 8%, team productivity rose by 28%, and the alarm count reaching the NOC fell five-fold.

Read the story
8%
Energy saved through optimisation across the portfolio
28%
Higher productivity for operations and field teams
5x
Fewer alarms reaching fault management

TM Forum Catalyst projects

Built with operators, in public

Catalysts are proofs of concept run through TM Forum, where operators and technology companies work on one problem together. These are industry projects, not customer deployments.

  • 2026

    C26.0.964

    AI-powered end-to-end solution for customer experience - Phase II

    The second phase uses customer experience as the common measure for network optimisation and investment decisions, combining network performance data, crowdsourced experience data and traffic forecasts. It grew from five operators to eight.

    • Finalist: Outstanding Catalyst - Attendees' choice (2026)
    View the project on TM Forum

    Project champions

    • Batelco
    • du
    • Indosat Ooredoo Hutchison
    • Mauritius Telecom
    • MTN South Africa
    • NTT Group
    • stc
    • TPG Telecom

    Alongside

    • Netradar
    • Nokia
  • 2025

    C25.5.901

    AI-driven customer experience-based network investments

    A project on deciding network investment by customer experience: experience data from consenting users is combined with network data in a digital twin, to find root causes, anticipate congestion and rank where to build or tune.

    • Finalist: Outstanding Catalyst - Business Gamechanger (2025)
    • Finalist: Outstanding Catalyst - Innovation with Purpose (2025)
    View the project on TM Forum

    Project champions

    • Jio Platforms
    • NTT Group
    • Ooredoo Kuwait
    • PLDT
    • Smart Communications
    • Spark New Zealand

    Alongside

    • Netradar
    • Red Hat
  • 2025

    C25.0.845

    AI-powered end-to-end solution for customer experience

    The first phase set out to base operator decisions on the customer: connectivity experience measured on end-user devices is correlated with access, transport and core network data, so issues are found and prioritised by their effect on customers.

    • Winner: Outstanding Catalyst - Rising Star (2025)
    • Finalist: Outstanding Catalyst - Tech for Good (2025)
    • Finalist: Outstanding Catalyst - Business Impact (2025)
    View the project on TM Forum

    Project champions

    • du
    • Mauritius Telecom
    • NTT Group
    • stc
    • Turk Telekom

    Alongside

    • Netradar
    • Nokia

Who it is for

TowerCos, MNOs and MSPs. One platform.

How it works

Your systems in. Proposals out.

MLNetworks reads the systems you already run, builds a model of each site, and prepares proposals for a person to approve.

Your systems

  • OSS / BSS
  • Telemetry & IoT
  • ERP
  • GIS
  • ITSM
  • Field systems
MLNetworks
  • Digital twins
  • Predictive models
  • AI agents

A person approves

What your teams get

  • An incidentwith its probable cause
  • A work orderwith its evidence attached
  • An investment optionwith the reasons for it

Integration scope is defined for each deployment.

  • ISO/IEC 27001:2022

    Certified. Independently audited.

  • GDPR

    Compliant.

  • Data residency

    Africa, Europe or the Middle East, set per deployment.

  • Access control

    Role-based access, single sign-on and multi-factor authentication.

Security at MLNetworks

Integrations

Plug and play with industry leaders

The best tools work beautifully together. MLNetworks connects with the systems you already trust, so your operations flow as one.

View all integrations
  • Huawei
  • Nokia
  • Ericsson
  • Delta
  • Vertiv
  • Eltek
  • SAP
  • Oracle
  • ServiceNow
  • Snowflake
  • Cloudera
  • Salesforce

Which site gives you the most trouble?

Bring a real case. An MLNetworks expert will walk through it with you.

Talk to an Expert