Case studies

We teamed up with a Swiss agri-tech startup to build a platform that uses satellite images, radar data, and machine learning to give farmers a clear view of their crops. The system helps predict crop yields, spot weeds early, and estimate sugar content, giving farmers the info they need to boost their harvests and run their farms more efficiently.

Our client in the corporate EdTech sector developed a platform that aggregates business courses for easy access and management. They sought an automated system to categorize courses into areas like marketing, finance, and HR, and to recommend personalized learning paths based on each employee's role and career goals. Read on to learn about our ML solution that transforms course categorization and tailors personalized recommendations.

Our solution uses advanced Natural Language Processing (NLP) and Machine Learning (ML) to automate the extraction of detailed specifications and measurements from complex product spec sheets.

A web application designed to facilitate communication in psychopathology treatment by summarizing mental health test results and illustrating treatment dynamics.

Health data is becoming highly digested, and data science and predictive modeling enter the picture to facilitate precision oncology. One of our clients decided to turn tons of unstructured medical data into a predictive modeling solution for cancer progression. Since relying on seasoned professionals in medical data engineering, data analysis, and machine learning (ML) is crucial in this case, we took on a challenge. Read on to discover how we came up with a solution to cancer progression prediction for lung cancer and lymphoma patients.

Our product brings a new healthcare claims management approach with AI-driven capabilities. It streamlines claim processing and reduces denials, improving efficiency and financial outcomes for healthcare providers.

The RxNorm Extension, our innovative product, transforms drug data management by seamlessly integrating international drug classifications and historical data into the OMOP ecosystem for generating evidence from observational data. Developed with advanced AI and database technologies, this toolset ensures comprehensive standardization and integration of drug data, fulfilling essential healthcare and pharmaceutical sector needs.

Nowadays we see the importance of new digital tech in changing how the world trades. These modern tools are giving traders a big leg up, helping them deal with and succeed in a world that's getting more complicated to do business in. Our client requested us to create an actionable AI-backed tool that would analyze traders’ behavior on the market with high operational efficiency and prediction accuracy. Read on to discover more about the project.