SciForce Case Studies

Case studies

See how we produce optimal AI solutions for our clients.
iconRetail
iconEdTech
iconHealthcare
iconNatural Language Processing
iconArtificial Intelligence
iconData Analytics
iconComputer Vision
iconData Science
iconML
iconCV
iconMachine Learning
iconPredictive analytics
iconNLP
iconDigital healthcare
iconAI
Recommended
Psychopathological Assessment Visualization

When it comes to health, compromises are unacceptable. Clear and timely communication, trust between a patient and a doctor, and correct treatment dynamics explained means a lot. One of our clients had an idea of a web application to facilitate everyone engaged in psychopathology treatment. Read on to discover how we developed this app, considering privacy by default.

iconHealthcare
iconDigital healthcare
Recommended
OHDSI Medical Vocabulary Development

Any country's healthcare systems and institutions have their classifications applicable locally. Instead of a single united system, multiple vocabularies pose obstacles to patient data exchange, global healthcare big data analysis, and slow down research. So it is evident that researchers and healthcare providers lack a common medical vocabulary model that will meet all the requirements. One of our clients decided to create a comprehensive model representing the data from different sources and ontologies used in various fields of medical science and the healthcare industry. Check out how we contributed to this project!

iconHealthcare
iconData Analytics
iconData Science
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.

iconHealthcare
iconComputer Vision
iconArtificial Intelligence
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.

iconRetail
iconArtificial Intelligence
RxNorm Extension: tool to standardize source drug data using OMOP CDM

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.

iconHealthcare
iconDigital healthcare
iconArtificial Intelligence

Whitepapers

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.

iconData Analytics
iconData Science
iconMachine Learning
iconComputer Vision
Building a trade prediction model for a trader bot

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.

iconRetail
iconPredictive analytics
iconMachine Learning
iconArtificial Intelligence
iconML
iconAI
Optimizing Clinical Trial Performance with AWS QuickSight Analytics and Dashboards

In the rapidly evolving healthcare industry, data plays a critical role in improving patient outcomes, optimizing operations, and enhancing overall healthcare delivery. AWS QuickSight, a robust business intelligence and data visualization tool offered by Amazon Web Services (AWS), has emerged as a transformative solution for healthcare organizations seeking to harness the power of data-driven insights.

iconHealthcare
iconData Analytics
iconDigital healthcare
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.

iconMachine Learning
iconComputer Vision
iconArtificial Intelligence
iconML
iconCV
iconAI
Spec Sheet Processing: Extracting Data from Semi-Structured Documents

Natural Language Processing (NLP) and Machine Learning (ML) are two of the most prominent forms of artificial intelligence today that have revolutionized countless industries. They exist in every industry that helps people interact with computers and make our communication with technologies more meaningful. For example, NLP can help make sense of unstructured or semi-structured data from various sources and formats. In this case study, we describe our approach to extracting fields from spec sheets for the manufacturing industry.

iconMachine Learning
iconNatural Language Processing
iconNLP
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