We convert computer science into economic performance
Lenstra conceives and implements reliable and self-sustaining IT solutions.
Lenstra steps in at the very core of IT platforms, where organizational and technological challenges are deeply intertwined with each other.
From strategic CIO advisory to technological operational excellence, Lenstra's team has the ability to manage a project from conception to implementation. The right diagnosis, a consistent business & technological approach and an operational implementation carried out properly, these are the key elements of our methodology.
We build the technological foundations that will enable you to achieve your business objectives
Lenstra steps in at the very core of IT platforms, where organizational andtechnological challenges are deeply intertwined with each other.
Allianz Trade
Datahub Platform
Switching from a monolithic on-premise IT to an event-driven cloud-native microservice architecture until production is hard. Hand in hand with...
BNP Paribas
HashiCorp Vault Enterprise in regulated industry
Integrating HashiCorp Vault in an existing and complex IT infrastructure requires strong technical skills along with the capability of adapting the...
Allianz Trade
Algorithm Management Platform
The Algorithm Management Platform allows Data Scientist, Data Analysts and ML Engineers to securely design, test and deploy Machine Learning models...
We do not promote technology just for the sake of it.
We do not let ourselves get distracted by the latest trends.
We leverage solutions that will make a difference for you.
There is more to engineering than just tackling one issue after the other.
Senior Product Owners
From conception to implementation, our product owners combine technical acumen and business sense to ensure that the technological building blocks fit together and ultimately generate long-term value for your organization.
Computer Scientists
Going deep into details while keeping the big picture in sight can prove challenging, that is what drives our computer scientists. It's not only about mastering a given tech stack, it's about making it relevant in the right situation.
