The FLX AI team blends business understanding with deep technical capability.

The RDSC team blends business understanding with deep technical capability.

Our staff includes several advanced degree scientists and multiple specialists in machine learning, advanced statistics, and video and image analytics.

The multidisciplinary team also includes specialists in economic analysis and data engineering including cloud-based solutions. In addition to its University of Rochester affiliation, which presents opportunities for data science research, FLX AI benefits from a wide range of industry experience in categories such as health and medicine, energy, geospatial imaging, business analytics, economic analysis and pricing optimization.

AI & MACHINE LEARNING

Computer Vision

Un/Supervised Learning

Generative Learning

Natural Language Processing

Multi-Modal Data Fusion

STATISTICAL MODELING

Economic Analysis

Demand Forecasting

Statistical Analysis

DATA ENGINEERING

Data Architecture Design

Cloud Deployment

Database Optimization & Tuning

Database Implementation

DATA DRIVEN SOLUTIONS

Our approach to data science combines deep technical expertise with an understanding of business context and the recognition that the best solutions are those that meet your objectives efficiently.

Modeling & Simulation

FLX AI can create models using machine learning that simulate systems such as energy grids, or transportation networks.

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Business Intelligence

We pull from reservoirs of retail data — point-of-purchase, psychographic and demographic — to provide critical insights.

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Image & Video Analytics

We can apply artificial intelligence and machine learning to provide automated solutions that perceive patterns, classify objects, and interpret events.

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Sensors, Wearable Devices & Internet of Things

The Internet of Things has enabled new applications in areas like health care and life sciences. FLX AI is experienced in managing these data systems.

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Geospatial Imaging & Image Forensics

FLX AI works with defense contractors, government agencies and media companies to interpret and authenticate imagery.

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Platforms & Data Management

We create automated platforms optimized for rapid analysis which can be stored on premises, deployed on the cloud, or a combination of both.

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APPLIED SUCCESS

See how we make data work in these case studies

A DEEP DIVE INTO DRIVING DATA FINDS SIGNIFICANT ROOM FOR ADDITIONAL FUEL EFFICIENCY

Partner Vnomics Industry Transportation Goal Analyze Vnomics driver data to determine if further fuel efficiency could be realized. Approach Machine learning Cluster Analysis Non-linear modeling Natural Splines Variance-component analysis XGBoost with SHAP Explainable AI Analysis The Opportunity Vnomics provides a service to monitor and coach truck drivers for better fuel performance so that fleets can [...]

BUILDING A PLATFORM FOR VITAL COMMUNITY HEALTHCARE INFORMATION

Partner Common Ground Health Industry Healthcare Goal Build a platform to facilitate data sharing and collaborative research among community stakeholders. Approach Batch Processing Machine Learning Stream Processing The Opportunity Common Ground Health (CGH), a health research and planning organization for 9 Finger Lakes counties, sought to develop a data platform that would make community health [...]

MACHINE LEARNING INCREASES ACCURACY AND EFFICIENCY OF CLINICAL TRIAL DATA COLLECTION

Partner URMC physicians Industry Healthcare Objective Improve data collection and data analysis processes in clinical trials. Approach Machine learning The Opportunity New treatments for myotonic muscular dystrophy, a genetic disorder whose symptoms include gradually worsening muscle loss and weakness, are being developed and evaluated in clinical trials. Successful clinical trials require efficient, high quality data [...]

APPLYING ADVANCED DATA SCIENCE TO STUDY THE PROGRESSION OF PARKINSON’S DISEASE

Partner Center for Health + Technology (CHeT) Industry Medical Research Objective Grant support from National Institutes of Health (NIH) to study cognitive progression in people living with Parkinson’s disease. Approach Sequential Machine learning Explainable AI Data Imputation Generative Modeling The Opportunity RDSC teamed up with the University of Rochester’s Center for Health + Technology (CHeT) [...]

APPLIED SUCCESS

See how we make data work in these case studies

A DEEP DIVE INTO DRIVING DATA FINDS SIGNIFICANT ROOM FOR ADDITIONAL FUEL EFFICIENCY

BUILDING A PLATFORM FOR VITAL COMMUNITY HEALTHCARE INFORMATION

MACHINE LEARNING INCREASES ACCURACY AND EFFICIENCY OF CLINICAL TRIAL DATA COLLECTION

APPLYING ADVANCED DATA SCIENCE TO STUDY THE PROGRESSION OF PARKINSON’S DISEASE

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