Classify, validate, and extract unstructured data types for digitization, labeling, model review and analysis.
Post-Trade Processing and Reconciliation
Automate the post-trade operational risk analysis process through real-time reconciliation of dense documents and unstructured data, giving our users insights into previously unknown trends and patterns that reduce expense, mitigate risk, and improve customer satisfaction.
Automate template maintenance and data analysis to support document governance, identify and escalate process issues, use insights to recommend process improvements and develop/manage controls to mitigate risk of
Ensure that settlement instructions and amounts match, detect fraud when historical settlement practices change and identify those counter-parties that are more likely to change settlement instructions and thus require additional controls to ensure accuracy.
Automate the IBOR-review process by identifying and analyzing IBOR-related terms in dense legal documents and deliver actionable insights from the unstructured data to risk manage down your IBOR book, especially “tough legacy” contracts.
KYC & Client Onboarding
Streamline and automate external data gathering, eliminate unnecessary manual checks and repetitive regulatory documentation requests, create a full audit trail of your external research processes, and deliver insights to the appropriate internal groups for better decision-making in a timely manner.
Digitize unstructured and third-party data, quickly answer in-depth questions required to create complex products, and deliver actionable insights throughout an index’s lifecycle.
Codify “organizational knowledge” via subject matter expertise automation with easily implemented templates, rules, and logic.
Find anomalies or outliers in various data sets, predict potential frauds before they turn into an actual incident, and deliver insights to anti-fraud departments for use in their investigations.
Claims prediction and processing
Enable more accurate claims processing through extracting and digitizing the relevant data, verifying the data against various rejection rules, predicting whether a claim should be allowed or rejected under the relevant policies, and providing a platform for claims specialists to reconcile any rejected or otherwise flagged claims.
Process large amounts of unstructured data to help auditors identify patterns and trends, highlight unusual transactions for further investigation, and provide insights to support risk assessment.
Perform a rolling review of a large number of news articles and social media sources to analyze key factors underlying new potential risks, identify trending topics, sectors, and companies associated with these risks; and deliver insights regarding the underlying impacts if the risks were to develop adversely.
Train, visualize, and tune AI-derived insights for deeper understanding of your business processes. Enables executives to turn raw information into actionable knowledge.
Adjudication of benefits or rights
Assist federal agency reviewers to more efficiently analyze the information submitted against the information required to obtain benefits or rights under various programs and deliver insights as to whether the improper adjudications of benefits or rights were due to manual processing errors or caused by problems with the format of electronic data submissions.
Fraud and risk management
Identify fraudulent claims by validating data from multiple sources, highlight suspicious transactions and emerging trends so that agencies can act before significant damage has occurred, and translate insight into action so that once fraud is detected, agencies can develop, test, and refine scalable and cost-efficient interventions.