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A focused demo, mapped to your network and your processes — run by someone who has migrated networks like yours. Or start with the question that changes everything: how good is your data, really?
Marlin Data Fabric (MDF)
Automated Network Discovery & Data Extraction Engine
Scope
Marlin Data Fabric (MDF) is an end-to-end data framework designed to seamlessly orchestrate the entire data lifecycle—from ingestion and migration to transformation, quality assurance, and AI-driven intelligence. Built for modern data ecosystems, Marlin Data Fabric provides a unified layer that connects disparate data sources, automates complex workflows, and ensures data is trusted, clean, and ready for advanced analytics and machine learning.
Default datasets — out of the box
MNI ships with ready-made geographic datasets and dashboards, so the business sees the network the moment it's connected:
Consumer types — connected vs total
A geographic layer of every consumer type — residential homes, businesses, antennas and more — flagged as fully connected (spliced and patched) to the PoP. Powers a dashboard of connected versus total consumers, with a breakdown per region.
Rack & splice-closure utilisation
A geographic layer showing used and available splices and connectors within racks and splice closures.
Duct utilisation
A geographic layer of occupied versus available microducts along the route — a microduct is “occupied” once a cable is installed in it.
Cable utilisation — used vs available
A geographic layer of occupied versus available fibres in each cable — a fibre is “occupied” when it’s part of an end-to-end connection between a consumer and a PoP — plus a layer aggregating utilisation per cable type and route (distribution versus backbone).
How good is your data?
Under the hood: AI/ML and computer vision read unstructured legacy — spreadsheets, PDFs, Visio, diagrams — alongside geospatial tooling, always with a human in the loop. Start with a Data Assessment, or see how we use AI.
Ask for a Data AssessmentHow we use AI?