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Mergers & Acquisition (M&A) documents need to be studied to extract over 45 fields for lawyers to classify. Lawyers have to go through multiple documents including the core agreements, press filings and SEC/court filings. MYSTiQUE built custom models & helped reduce time from 6 hours per document to 45-90 seconds. The same task conduced by a trained lawyer now takes 0.2% of the time with at least 75% accuracy.
Read More >Global corporations have a need for extracting PII information from a pool of documents under litigation. Information extraction from PDFs and images was needed as was Correlation of information to an individual to help with litigation/legal proceedings. MYSTiQUE helped parse through information and determine the context and extract and link sensitive PII Data like IDs, Name and other demographic information.
Read More >For an insurance broker, in the UAE, we have a use case for productivity improvement – extracting information from several govt and customer documents to put this in an application form. Each application is sequentially submitted manually with the data repeated across each insurer. Today this process requires the broker to type information from images and PDF documents on to each insurer’s application form. MYSTiQUE helped extract information from Mulkiya, Emirates ID, Driving License, RTA transfer papers and creates digital output.
Read More >Insurance providers wanted an onboarding process that used video to capture remote KYC and onboard customers as per regulator norms.Insurers are mandated to collect. MYSTiQUE helped reduce on-site visits and customers can complete onboarding with minimal human intervention
Read More >Underwriters at Insurance providers are required to read assessments of questionnaires provided by customers. The doctors use a quick assessment by reading the document and creating a summary of the findings. They then would recommend next steps including a full medical checkup, if needed. This has implications of time and money at the underwriting stage. MYSTiQUE helped summarize information from the Tele-MER (Telephonic Medical Exam Report) and then create a summary, especially of adverser declarations in medically relevant sections. This information is then easily put through a decision system for the next stage of underwriting
Read More >Insurance providers needed an ability to reduce time spent by agents/brokers when porting health insurance from an outside carrier. These documents could be across insurance carriers and so have several different document formats. Agents are required to enter details and product details including amount insured as well as Proposer and details of all people insured in the policy. MYSTiQUE helped extract information across different insurance health policy formats within 5 seconds and reduced time to respond including quotes to help agents close the deal with the end-customer leading to increased onboarding of policies.
Read More >Healthcare providers and insurers alike need insight on medical reports of their consumers. MYSTiQUE helped digitize documents and breakdown information by category and help highlight outliers right away. This information would then be placed into Health360 systems and Recommendation Engines for detailed analysis and consumer egnagement.
Read More >One of India’s largest rating companies wanted to introduce AI to generate assessments and analysis to automatically create business insights. MYSTiQUE extracted information from tables, graphs to generate rating insights. Our unique NLG (NATURAL LANGUAGE GENERATION) models were built with detailed training from historical information.
Read More >Global corporations have a need for extracting PII information from a pool of documents under litigation. Information extraction from PDFs and images was needed as was Correlation of information to an individual to help with litigation/legal proceedings. MYSTiQUE helped parse through information and determine the context and extract and link sensitive PII Data like IDs, Name and other demographic information
Read More >Our customer wanted to extract information for a Fortune 100 company by analyzing several published reports containing information relevant to carbon footprints. Presently this information is done manually, and around 120 attributes are extracted, which is time-consuming and prone to human error. Over 13,000 pages of reports were used to create an ML training dataset. Phased Approach – an incremental set of fields for extraction by using MYSTiQUE to process several types of reports (PDFs) and extract information – the first phase of extraction of 11 fields is completed with 88% accuracy. Subsequent phases will extract over 100 fields across reports to get this data
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