Built to unify data workflows and accelerate time-to-market.
.webp)
Our enterprise client was facing challenges within their advanced analytics department, with data teams operating in silos, scattered technologies, and no unified framework. We built LUPA, an MLOps platform, to unify workflows and accelerate time‑to‑market, while driving millions in monthly revenue.
Implementation time:
5-7 months
time-to-market decreased by
total project's revenue impact
adoption rate
The client was facing several challenges within their advanced analytics department:
Data teams operated in silos, each with their own structure, technologies, and custom tweaks that accumulated technical debt
No framework was in place to build reliable, uniform, and reproducible pipelines at scale
Delivery cycles were far longer than the business expected, limiting investment and reducing confidence in the department
LUPA or Lightweight Universal Profiles Accelerator, is an MLOps platform designed to empower the work of both Data Scientists and Data Engineers. It manages the necessary infrastructure and implements a unified framework to reduce a project’s time-to-market, helping eliminate project’s hidden technical debt.
LUPA was built in a market orientation fashion, empowering data teams to take ownership of their products. At its core, LUPA uses only open-source components such as Spark, Airflow, Soda and MLflow. Its agnostic design allows the adoption of other open source tools.
A cloud version, CLUPA, integrates with Google Cloud Platform through Terraform, enabling developers to set up infrastructure in just two days.
Meet the team of this project

André Godinho
Senior Machine Learning Engineer

Marcus Waddington
Senior Machine Learning Engineer
LUPA has become the backbone of the advanced analytics department, serving as the foundation for more than 20 data science projects and involving over 80 developers - an adoption rate of 80%. Onboarding new projects now takes just two days thanks to the platform’s standardized framework.
Business owners are experiencing a new reality: time-to-market has decreased by approximately 75%. This encourages them to iterate on existing projects and explore new business opportunities, rather than being constrained by lengthy timelines.
Beyond reducing time-to-market, LUPA supports large-scale projects that represent million-euro impact on the company’s revenue. For example, it powers the company’s recommendation system that selects personalized offers for up to 1.5 million clients.
Meet part of the team of this project

André Godinho
Senior Machine Learning Engineer

Marcus Waddington
Senior Machine Learning Engineer
Partners

Awards
