Increased efficiency of Kubernetes scaling
Our client, a cloud provider, wanted to scale Kubernetes efficiently. VirtusLab created a custom operator for cost savings, faster response times and robust security.

Our client, a cloud provider, wanted to scale Kubernetes efficiently. VirtusLab created a custom operator for cost savings, faster response times and robust security.

Our client, a leading retailer, fulfills over a million online grocery orders each week. Each order depends on a correctly entered address for delivery. Customers chose manual entry over scrolling for their address in the previous drop-down UI design, leading to higher operational costs and delivery delays.

Our retail client wanted innovative in-store technology for convenience. VirtusLab worked on the infrastructure, video analytics and in-store camera software to improve the customer experience and increase efficiency.

Our manufacturing client specializes in industrial monitoring systems. They needed to improve the analysis of product defects. The existing volume of data, parameters and manual inspections took up a lot of time. VirtusLab's ML solution fed cloud data into Power BI for faster, more accurate analysis.

Adstream aimed to optimize the development of future iterations of their product and modernize its legacy code. They needed a partner proficient with Scala, as they had only a few specialists onboard.

VirtusLab helped a leading social media company to streamline their software development, using tech like Scala, Bazel, IntelliJ, & IDE Probe

Boosting efficiency & scalability for a top UK grocer's Data Science Team with VirtusLab's automation & familiar tools.

Discover how our scalable event streaming platform revolutionizes global logistics with real-time data insights and automation.

A grocery retailer in the UK, Ireland and Central Europe was looking for a robust cloud platform to streamline its operations. Moving away from a 'you build it, you run it' approach, VirtusLab's solution helped them prioritise value creation over infrastructure challenges.

Discover how VirtusLab's strategic approach, leveraging machine learning and data analytics, led to a 4.4% reduction in scrap rate for a manufacturing client, improving efficiency and profitability.

VirtusLab automated A/B testing for machine learning-based markdown pricing, enabling the client to swiftly implement effective pricing strategies and potentially increasing their annual sales by £10 million.

VirtusLab built an internal self-service portal where employees can access relevant information regarding their compensation, benefits and additional services. This solution lowered the client's CO₂ footprint by 255 tons per year.
