Cognitive Reasoning Systems and Process Automation
Supervised and Unsupervised Classification and Clustering
Predictive Modeling and Time-Series Forecasting
Prescriptive Analytics and Decision Optimization
Unlike traditional OCR applications that rely on templates and zonal extraction, Foundation Extract leverages AI to read documents like a human, understanding the context, meaning and intent of language.
Foundation AI uses knowledge mapping to configure Extract to perform complicated processes, integrating both deterministic and probabilistic models to make judgement calls, and using confidence thresholds to determine when human involvement is necessary. Extract continuously learns from human feedback, getting faster and more accurate each day.
Whether its automating manual processes, uncovering actionable insights, or predicting future events, digital transformation relies on structured data. But 90% of enterprise data is locked away in documents, images, and videos and the rate at which this unstructured data is being created is increasing exponentially.
Not only can Foundation AI create structure out of this unstructured data, its unsupervised clustering, supervised classification, and other Learning models can detect even subtle patterns and coax out meaningful insights. Go beyond simply processing data and use it to predict future events and prescribe the best course of action.
Extract leverages transfer learning to configure its suite of deep learning and time-series forecasting models specifically for each use case. The Foundation AI team has built and deployed in production hundreds of predictive models across industries, ranging from helping energy utilities forecast when machine component parts will fail to helping a large multi-national appliance maker model future customer demand.
The Foundation AI team has particular expertise in healthcare predictive models, having deployed over 100 different revenue, operational, and clinical predictive models for healthcare providers around the globe.
Extract’s AI powered optimization models connect the dots between historical data and future planning. Combined with its Language, Vision and other learning models, AI powered optimization enables enterprises to automate end-to-end processes, even those that ordinarily rely on human judgement.
Extract’s attended solutions and human-in-the-loop deployments ensure that enterprises still maintain full control and oversight as necessary, and that the models continue to learn from human exception handling. The Foundation AI team has deployed optimization solutions across industries, from optimizing marketing spends, to making prescriptive maintenance recommendations, to optimizing shift rotations and staffing across a hospital.
With Foundation Extract, we were quickly able to glean insights and develop algorithmic models that outperformed traditional screening tools by a wide margin.
Managing Principal, Health Tech Advisors
Foundation AI’s data warehouse integrates information from our electronic health record, offender management record, behavioral health record and pharmacy record. Now, we can automate and track our chronic care clinic performance, follow medication adherence in real time and identify, track, and treat Hepatitis C patients.
Dr. John Hagan,
Staff Physician, ND Department of Corrections and Rehabilitation
Foundation AI’s software helps us to derive the full benefit of our massive store of data, and uncover meaningful insights that will benefit the health and safety of the citizens of New York.
Chief Information Officer, New York Office of the Chief Medical Examiner