Our client, a leading UK retailer, aimed to extend its ML Forecasting Framework to other subsidiaries within its group network. The objective was to transition the extensive platform from Hadoop to a dedicated Azure Databricks environment, including all library dependencies and datasets.
How VirtusLab's solution streamlined data processes for an insurer, reducing costs, enhancing accuracy, and fostering data-driven decisions.
A multinational research organization aimed to improve internal collaboration. They wanted different departments to share their laboratory test results. To achieve this, they collaborated with VirtusLab to develop an application using Markdown, a lightweight markup language.
VirtusLab created Vived, an app for software developers. It simplifies their lives by offering IT news, customized articles, and remote job opportunities, all in one place. VirtusLab’s product management team decided to expand globally and reach an audience beyond Polish borders three years after the app's launch in Poland.
A multinational freight forwarder was facing fines for an inaccessible carbon calculator. VirtusLab carried out an audit, fixed the problems, and built a custom application with a much higher level of readability.
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.
