How Lumen is different

How Lumen is different

Deploy your models

Lumen® is designed to be used with your data science models. Any data science models. During this process;

  • Lumen® wraps your analytic in a secure container and deploys it to the platform.
  • Lumen® integrates your model with the data available to start running straight away.
  • Significantly reduce the time to deploy models, with no need to code or develop any additional instructions, Lumen® does it for you.
  • Lumen® allows you to run multiple, interconnected data models, even if they are all built in different languages and design approaches.

Building data pipelines

Lumen® offers a simple user interface and the ability to connect to any source of business data. Data from across your organisation can be automatically fed to Lumen® to generate real business insight.

  • Once your data sources are onboarded a simple tagging procedure is required to identify the data types available to start building data pipelines.
  • AI kicks in to automatically build data pipelines. The models require data to run and Lumen® will continually check for the required fields across all of the data available on the platform.
  • With Lumen® it is easy to build complex data pipelines with multiple models working together to generate the end result. Once the data is connected, Lumen® connects the dots.

Outputs & results

Getting insights from your data science models is a critical step in any data science project. Lumen® comes equipped with built-in visualisation capability and also provides results via an API to provide a complete range of visualisation options.

  • Lumen® has built-in visualisation and dashboard capability. Allowing you to create a range of charts and tables
  • A results API is provided to allow you to analyse the results in your visualisation program of choice.

Whether you want to push the results straight to a visualisation tool or back into your organisation’s systems and data warehouse, Lumen® has you covered.

Who we help

We understand each sector faces different challenges with data, and know that it takes more than just an investment in technology to help you deliver a successful data strategy within your organisation.

Energy

Energy

Data is transforming the energy sector and the opportunity to drive towards a net zero position is at the forefront of executives’ minds.

Future Cities

Future Cities

Challenges future cities face is the need to stimulate innovation to create economic growth whilst addressing major issues such as CO2 emissions.

Professional Services

Professional Services

The challenges that Professional Services organisations face include delivering cohesion through multiple different systems for their clients and internally.

Transportation

Transportation

Some of the biggest challenges the Transport industry faces is maintaining aging assets and predicting faults whilst continuing to deliver excellent levels of customer service.

Manufacturing

Manufacturing

Challenges within the manufacturing industry include lowering costs and filling skills gaps by maximising automation and reducing the amount of waste and energy consumed in the manufacturing process.

Healthcare

Healthcare

As patients demand trust, privacy and security of their personal details, it is imperative this is maintained by the respective healthcare provider.