FOUNDATION AI
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.
Cloud-based or containerized on-prem, and easily integrated via suite of APIs and configurable input and downstream connectors.
Pre-trained to deliver immediate value and continues to learn and improve through feedback
Intuitive user interface built to optimize the relative strengths of humans and machines.
ISO 27001 certified and customer data encrypted and isolated in SOC2 Secure SaaS cloud environment