Delivering a cutting-edge Azure cloud and data foundation for next-gen machine learning

The client.

Transcality is a pioneering Swiss startup. The company specializes in creating digital replicas of cities and harnessing real-time traffic prediction through their advanced machine learning algorithms.

Project background.

The mission was clear: engineer an agile Azure landing zone and robust data foundation capable of processing vast amounts of data with high automation levels, poised for seamless scalability in tandem with the company’s growth.

Nordcloud helped Transcality build a streamlined Azure cloud and data foundation tailored precisely to the demands of data-intensive machine learning models, poised to seamlessly scale alongside this innovative startup.

The solution.

Leveraging Terraform-based Infrastructure as Code (IaC), Nordcloud established a resilient framework, perfectly attuned to the demands of data-intensive machine learning models.

Our approach.

Architectural Design	Implementation
Digital wireframing. We digitally sketched the blueprint of the business model and the digital twin concept.	Infrastructure deployment. Employed Terraform for seamless automation, adhering to Microsoft’s cloud adoption best practices.
Cloud-native approach. Devised a cloud-native infrastructure architecture, empowering their machine learning model.	Automation excellence. Employed a modular code base and harnessed GitHub actions for end-to-end deployments, in strict accordance with DevOps best practices.

Results.

The solution comprises a scalable landing zone, precisely catering to requisites such as cost-effectiveness, user-friendliness, and scalability, aligning seamlessly with the company’s future growth trajectory.

The business impact.

Transcality is now primed to concentrate on delivering enhanced value to its clientele. With a robust IT solution supporting the digital nature (digital twin) of their business, they’re better poised to innovate and introduce new models for their customers.