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Automating document review with 98% accuracy
We used Natural Language Processing (NLP) to automate the internal review of RFPs, RFIs and security questionnaires, reducing time and costs associated with the process.
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Improving tracking & forecasting for Canada’s leading billing software solution
We built a proprietary anomaly detection and billing model that improved accuracy by 3 percentage points, unlocking millions of dollars in savings for our client’s customers.
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Identifying Potential Security Access Violations
We developed a semi-supervised neural network to identify anomalous security access card swipes in a large corporation with numerous facilities throughout the world, previously hidden secure access violations.
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