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From Fragmentation to Integration: Streamlining Financial Workflows with DevOps

The client works in the financial sector, helping businesses simplify reporting, budgeting, and forecasting. Their tools use real-time data and smart technology to create accurate reports, plan for the future, and test different scenarios. With features like multi-company and multi-currency support, easy-to-use dashboards, and seamless ERP integration, their solutions are flexible and scalable, making them ideal for businesses of all sizes looking to improve financial processes and support growth.

Published: January 15, 2025
# FinTech
# DevOps
Automated Lung Pathology Detection with an AI Chest X-Ray Tool

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
# Healthcare
# Data Science
# Big Data
# AI / ML
# Computer Vision
# NLP
Grow Smarter, Not Harder: Higher Yields with AI-driven Precision Farming

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
# Agriculture
# Computer Vision
# Data Science
# AI / ML
Stay Cool: Safeguarding Cooling Systems to Save a Data Center

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
# Manufacturing
# Tech
# AI / ML
# Computer Vision
AI-Powered Taxi Receipt Management: Faster Reimbursements and Accurate Data

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.

Published: May 31, 2024
# FinTech
# DevOps
# AI / ML
AI-Powered Claim Denial Management System in Healthcare

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.

Published: February 16, 2024
# Healthcare
# Computer Vision
# AI / ML
# NLP
# Data Science
All-Seeing EyeAI: a new era of space optimization and queue management

EyeAI 👁️ is a SciForce product, transforming your existing cameras into a smart system for optimizing space and managing queues. Get real-time insights into visitor behavior for better space use and personalized service in retail, healthcare, HoReCa, and public safety—no new hardware needed.

Published: February 8, 2024
# Retail / E-commerce
# Computer Vision
Roof Tops Damage Detection

Our project aims to enable insurance companies to analyze roof damage through photos. Users can upload images of their roofs, and our system will assess the damage, identifying its location, size, shape, and type.

Published: January 12, 2024
# InsurTech
# Computer Vision
Automated video cutting

In the recent decade, as people have moved away from desktops to mobile devices, their consumption patterns have undergone significant transformation. One of such changes is the boost of video consumption from smartphones, which prompted mobile video advertising. Today, by creating a video tailored for mobile devices and the behavior of mobile users, advertisers can now achieve successful performance. At the same time, though growing in popularity, videos become shorter: in 2016, the average video length was 13.14 minutes, in 2017 6.07 minutes, and in 2018 it shrank to 4.07 minutes. So how is it possible to cut videos maintaining the content significance, and adjusting it to the viewer’s preferences? The answer seems obvious: you need to make your videos shorter and more content-intensive. But the reality is not that straightforward: each platform requires its format, length, and size, so you end up creating tons of video materials.

Published: August 17, 2023
# Marketing
# Computer Vision