See how we produce optimal AI solutions for our clients.
The client is a healthcare company focused on medical imaging and diagnostics, working to improve the diagnosis of lung diseases like tuberculosis and COVID-19. They wanted to create an AI-based algorithm that could detect abnormal changes in chest X-rays and automatically prioritize the most urgent cases. It helps to make the diagnostic process faster and more accurate by identifying abnormalities and highlighting critical cases. It reduces the workload for radiologists and pulmonologists by automating routine tasks, so they can focus on more complex cases. By solving issues like delayed diagnoses and heavy workloads, the solution ensures patients with serious conditions get quicker and more reliable care.
Published: November 28, 2024
For a video processing platform handling high upload volumes, we developed an automated, scalable pipeline using Python, AWS ECS, and Fargate. This smart solution dynamically scales, reduces resource waste, and enables seamless, hands-free video processing across formats—empowering the client to meet demand peaks effortlessly.
Published: November 5, 2024
The language learning platform adapts to each user’s progress, providing customized exercises and challenges. Gamification features like leaderboards, badges, and progress tracking make learning more engaging and enjoyable. From basic vocabulary to complex scripts like Mandarin and Arabic, the platform makes language learning both fun and effective.
Published: October 13, 2024
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.
Published: September 16, 2024
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.
Published: September 10, 2024
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.
Published: August 15, 2024
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.
Published: July 31, 2024
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.
Published: July 19, 2024
This case study examines the optimization of a major international publishing house's e-commerce infrastructure, which suffered from significant performance issues due to an outdated single-server setup. Our job was to optimize the page load time and system reliability by enhancing the server capacity, and introducing automated deployment processes.
Published: July 8, 2024
A web application designed to facilitate communication in psychopathology treatment by summarizing mental health test results and illustrating treatment dynamics.
Published: June 25, 2024