We take the pain out of data science


Here at Llaama we believe that data scientists deserve to focus on what they are brilliant at and what they love to do: analyzing data in service of scientific breakthroughs.

Our responsibility is to build platforms, like Palaamon, that make data science easier, faster, fun and reproducible.

Great software architecture and engineering are at the heart of the best drug R&D pipelines. And every result that is produced by data science in pharmaceutical or medicine should be easily reproducible.

Our mission is to use the best cutting-edge software architectures to support rapid development of new medicines that will benefit millions of people.


We see ourselves as enablers: we are engineers serving science. We have considerable expertise in the most advanced technologies, like cloud-native architectures, actor-based development, and Reactive software.

We know the pharma and the biotech industries inside-out and we want to offer them the very latest advances in software engineering.

We know how regulations for the pharmaceutical industry work and our approach is to write software solutions that are designed and built ready for the regulation process.


We put our employees first because we know how demanding it is to create and build great software systems.

We believe freedom is key to creativity. But freedom comes with much responsibility. We set up small teams that are fully accountable for their contribution to the systems they build.

The strength and the beauty of nature are the direct result of biodiversity, evolution, and adaptability. We believe it should be the same at the workplace. We are looking for team members with diverse backgrounds who are eager to learn and experiment. We embrace positive critical thinking as an approach to move projects forward.

We take our responsibility towards society and the environment very seriously. We build software for good: we release open-source modules and we wisely choose our architecture to limit their impact on the environment (e.g. asynchronous actors architecture can considerably reduce CPU power consumption).

It seems to us that these values are best to serve all our stakeholders in the long term whether users, investors, or partners.