Case studies

Our client, a technology company managing large data centers, faced recurring pump failures in their cooling systems, causing costly downtimes. By deploying an advanced anomaly detection system, we identified critical sensor patterns that allowed the maintenance team to address issues before they escalated. This led to a 30% reduction in false alarms and a 25% decrease in unplanned downtime.

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.

We used an ASR technology for a language learning app to provide accurate pronunciation training in over a hundred languages. It handles diverse accents and noisy environments effortlessly, offering personalized feedback to help learners quickly achieve fluency and improve their communication skills globally.

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

The implementation of AI-driven technologies enabled efficient handling of diverse receipt formats for taxi services. Using advanced OCR with Tesseract, GANs for image enhancement, and LLMs for data structuring, we created a comprehensive solution that ensured high data accuracy and reduced processing times.

Explore how an EdTech company boosted its profitability and expanded its market by moving its AWS infrastructure from Ireland to Germany. This shift complied with strict German data protection laws and improved system performance while cutting operational costs, creating new opportunities in Europe.

Jackalope transforms complex medical data into OMOP CDM and SNOMED Clinical Terms (CT) standardized formats. This enables healthcare providers, practitioners, and scientists to effectively use real-world medical data for research and delivering enhanced patient care.