Accelerating transitions into
cloud-based data platforms.


Analytics Platform

Build scalable, cloud-based platforms to ingest and process large amounts of data in streams and batches from various source systems. Use centralized (Data Lake, Data Lakehouse) or decentralized (Data Mesh) architecture, depending on the use case.

Data Engineering

Implement specific data processing solutions in the existing platform or develop a proof of concepts to demonstrate the possibilities and kick off the new project. Evaluate existing tools and their usage to pinpoint bottlenecks and make improvements.

Cloud Architecture

Transition existing systems into cloud environments or rearchitecting them as cloud-native from the ground up. Check existing architectures for improvements that could result in performance and cost savings.


“We’ve been happy to have Krzysztof from Kodlot support our ML Ops department throughout 2022. He has been a true asset to the team, advising on and developing cloud infrastructure, helping us evaluate potential architectural directions, deploying ML models, and running operations. We appreciate Kodlot’s high degree of competence coupled with an open mindset and plenty of humility.”

Henrik Atteryd

Head of AI Hub

“I couldn’t be happier with the service I have received with Kodlot. They have a deep understanding of their craft and have done a great job communicating with me through the process of creating best in class Data Lakehouse Platform. I have been working with them for more than a year and have seen their hard work impact. I recommend them to anyone looking to establish a top-notch data platform.”

Dr. Yannick Misteli

Lead Platform & Machine Learning Engineer

“Kodlot is part of a co-working community and a valued contributor to the unique vibe of Republikken with their wit and sense of humor. We are happy to follow Kodlot’s journey and development and hope to keep them in the community for as long as possible.”

Kitri von Bülow

Community Manager