Lionsgate.

Integration, Analytics & Applications.

One data fabric. One platform.


Real world layer

The application consuming and contributing to the data.

Virtual layer

Real world data is integrated with flexible models to form a data fabric that scales linearly in the cloud.

Service Layer

Applications are built and connected to the data fabric, contributing to its development and allowing with users.

Plug and play platform.

Developer convenience.



Lionsgate connects to legacy systems, enabling organisations to firstly integrate data, application and architecture silos, and then extract more value from their data.

A service-oriented architecture.

Modular, decoupled and service-driven.


Hybrid cloud, on prem, on cloud. Your choice.

In a globalized world, enterprises need a global approach to their IT systems.


Dev-Ops? Everything logged. Everything monitored. No config.

Deployments are infrastructure agnostic. Utilize your existing Hadoop, Spark or EC2 clusters as execution environments.


Always on support. Just drop us a line.

Friendly, professional support for enterprise clients and entrepreneurs alike.

Consume and integrate data with our service-oriented architecture.

Lionsgate offers access to an ever-growing list of cutting-edge open-source, legacy and proprietary software.



After something that's not on the list? We can help! Our developers can create a plugin to integrate the software you need. Alternatively, your own developers could easily create what you need, by leveraging Lionsgate's Service plugin architecture.

Global security and permissions.

Fine grain data permissions to broad stroke multi-tenancy.

A multitenancy solution for Companies, Groups, Users, DataStores, Datasets, Models and Datapoints.


Data governance and security


  • Global authentication and authorisation system.
  • End to end encryption with uncompromised analytics performance.
  • Group-wide to intra-group data governance.

User, group, model, property, & value level permissions


  • Control access (by division, group, user) to individual datasets across multiple networks.
  • Fine grained permissions to control access to models, attributes, data partitions and even data points.
  • Federate data across your organisation.