Infinity

The problem it solves

Operators struggle with fragmented, inconsistent and manually captured data: multiple sources of information, mixed structured and unstructured content, weak version control and audit trails, poor availability and difficult integrations. Planning, finance, project and operational data frequently disagree across systems, and the underlying data problem usually goes unnoticed until someone surfaces it. The market is littered with failed data lakes, which is why Infinity's data-first approach loads raw data quickly, correlates it, and establishes a centralised repository every team can trust.

How it works

Data moves through defined layers, from raw network and third-party feeds to automated output.

Capabilities

• No-code configuration of applications involving data, tables and forms, with data templates and hierarchy.
• Multi-domain, multi-vendor, multi-technology handling across RAN, Core, IP, transmission, DWDM and microwave.
• Federated inventory, topology, configuration and asset management, with multi-layer horizontal and vertical topology stitching.
• Process automation via a configurable process-flow engine with role- and record-level authorisation.
• Auditing and fallout reporting against known sources to detect missing or inconsistent data.
• Advanced reporting and dashboards, including built-in SQL querying and drag-and-drop visualisation.
• Network write-back to NMS or NE via REST API, SOAP/XML, TL1, CORBA, SNMP and YANG.

What makes it different

• Data-first: no need to model data before analysis can begin — raw and groomed data are available immediately.
• Configuration over code: a flexible underlying data structure usable for any management system — project, workforce, spares, work orders, documentation, tower management.
• Broad integration via Apache NiFi (file-based) and Apache Airflow (bulk database), supporting CORBA, REST, TL1, YANG, SNMP and file-based XML/CSV/JSON, including stitching on raw files.
• Low-cost entry with all development in-house, so customers can start small and grow.

Architecture & integration

Cloud-based deployment with OAUTH2 authentication via Keycloak or Okta. A C# back-end API, front-end Razor pages and a Python engine for urgent or non-standard requirements. Drag-and-drop configuration moves data from source to database with control over parallel processes and back-pressure. Integration runs east-west to third-party systems — service assurance, inventory, outdoor facility and asset systems — feeding performance, fault, status, real-time and event data into a columnar database. Delivery can run separately from development, with a co-development model that builds in-house operator autonomy over time.

Use cases

• Asset management — audits, auto-discovery from network config, capitalisation, warehouse/spares, procurement and finance integration.
• Performance management — multi-threaded parse-and-load, KPI builder with version control and backfill.
• Federated inventory and topology — multi-layer, horizontal and vertical, across domains and vendors.
• Process digitisation and automation — provisioning, change management, serviceability, site rollout and project management.
• Field survey and workforce management — site surveys, site acceptance, geolocation confirmation.
• Planning and budget — BOM planning, demand forecast, CAPEX/OPEX forecasting and rollout scheduling.
• Customer migration portals and network write-back.

Proven in the field

• A large Asia-Pacific operator group runs topology stitched across 97 interfaces spanning all domains and vendors, with groomed output feeding external service-assurance and broadband/FTTH inventory systems, a customer web portal and FTTH process flows. Reported platform scale: ~300 million records (5 billion values) loaded daily in under two hours, 57 billion records held, and 131 groomed tables pushed to external users daily. Across deployments the platform is described as holding over 7 trillion data points.
• An Asia-Pacific operator migrating over 100,000 LTE-at-home subscribers to fibre used Infinity to cross-reference subscriber locations against available fibre ports at street-level accuracy and automate port assignment. Data processing time fell from two weeks to under ten minutes, with near-elimination of errors.
• A Latin American subcontractor completed over 10,000 site asset audits in 25% of the usual time — a 75% reduction, with a matching reduction in resource requirement and higher, auto-correlated data accuracy.

Customers anonymised by region and scale. Figures as reported in deployment documentation.