AI & Data Science
We help organisations unlock the value of artificial intelligence — from fraud prevention and legal analytics to custom machine learning pipelines. Based in Copenhagen; working across Europe.
Meet the team →We combine rigorous quantitative methods with domain knowledge in law, finance, and machine learning to deliver solutions that work in production.
Navigate the intricate world of law with pioneering LawTech Analytics solutions, providing transparency and clarity for finding the right information.
Safeguard your enterprise against threats with comprehensive fraud prevention — machine learning models and rule-based systems for real-time detection in payments and financial services.
End-to-end data science consulting: from strategy and architecture to implementation. We leverage the latest technology to keep you ahead in a rapidly evolving landscape.
Our mission is to leverage technology to solve problems, ensuring that individuals and businesses of all scales can harness the latest advancements in AI. Through our tools, we streamline workflows and provide empowering insights.
Together, we can shape a more informed and secure world.
Our strength lies in the diverse and dedicated team that drives our mission forward. With a blend of domain expertise, technological prowess, and a shared passion for innovation.
Experienced analytical leader with 10+ years in quantitative methods and data science. CFA charterholder with degrees in Economics (Cand.Polit.) and Science (Cand.Scient.). Proven track record in initiating and operationalising new machine learning use cases.
PhD student at the Institute for Language, Cognition and Computation, University of Edinburgh. Working on more efficient ML architectures through cognitively inspired inductive biases. Industry experience in LLM-based RAG systems.
Former Global Group CFO and Director at AirHelp (Y Combinator). Led Copyright Agent A/S through IPO on the Copenhagen Stock Exchange. Expert in building global technology-driven companies.
PhD graduate from the Department of Computer Science, University of Helsinki (2024). Dissertation: "Language Technology Tools for Low-Resource Languages — Five Cases for Sakha, Norwegian, and Finnish."
BSc in Machine Learning and Data Science from the University of Copenhagen, currently completing a Cand.Stat. with focus on deep learning and computational statistics.
Whether you have a specific project in mind or want to explore possibilities, we're happy to have a conversation.