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Extracts using Natural Language processing and Deep Learning Insights, data, obligations, risks from unstructured documents at commercial scale and affordable cost on-prem or saas
About
We call it the GreyBox developed with early adopter JP Morgan it takes the latest learning from Natural Language and Deep Learning and packages a full process from creating a digital machine readable version of your documents and enabling them to be annotated and trained with the data science models then automatically making models from your own input. It achieves the linking of every process to ensure original integrity of data and explains the process openly. I enables the client to keep all the learning on premise or private cloud and integrate with the latest API, Kubernetes structures to send information critically found to all areas of the organisation directly. It allows subject matter experts to note their knowledge and the artificial intelligence to action this and access/extract from your data lakes or new information.
Key Benefits
* Ready now for using so low cost to test as proof of concept * 150 trained models providing a 0.8 (80% or higher result) * Automatic report on Obligation Management extraction into a word document or Excel * Excel Output so you can check integration upload of result without costly API during POC * Available on Saas or on premise so security can be maintained on premise if required * End to End so no other integrations or security issues, can be provided in docker and containers * Clear understanding and testing of your documents and real results without alteration in real time
Applications
In House legal Departments, Regulation and Compliance Departments, Law firms, Procurement, Finance, HR as all the departments are effected by Contracts and Regulation details