Modulai delivers machine learning products and projects to selected clients, helping them to be even more successful in creating value from data.Modulai’s clients range from startups to multinational companies and they all have in common that machine learning is or could be central for how they operate, compete and create value. Services rangefrom advisory projects, feasibility studies to end-to-end development or refinement of machine learning systems and products. Modulai uses state-of-the-art techniques, always focusing on maximizing business impact, delivering solutions in areas such as credit risk, fraud detection, dynamic pricing, recommendation systems, opportunity spotting, logistics optimization, up-sell, cross-sales, smart building optimization, predictive maintenance and route planning.The team consists of machine learning engineers with a background and strong track record from some of Sweden’s most successful startups.

AI/ML

Software

Modulai

Josef Lindman Hörnlund

Yue Liu

Svante Sörberg

Robin Grenholm

Pratima Rao

Olof Harrysson

Juliano Laganá Pinto

Harald Attling

Gustav Eklund

Filip Söderqvist

Dmitrijs Kass

Christian Lind

Bharat Sharma

Alden Coots

Abgeiba Isunza Navarro

The Machine Learning team at Modulai is responsible for developing and refining sophisticated machine learning systems and products tailored to client needs. They conduct advisory projects, feasibility studies, and deliver end-to-end solutions, employing state-of-the-art techniques to maximize business impact. Their work spans diverse applications such as credit risk analysis, fraud detection, dynamic pricing, recommendation systems, logistics optimization, and more, with a focus on helping clients leverage data to create substantial value.

Machine Learning

Machine Learning

About

Team members