New Ways of Solving Problems

Semantic Technologies offer extraordinary new capabilities for both users and developers. The structuring of unstructured data, new methods for data integration and interfaces, and the ability to deeply mine and identify relationships between data elements that was previously impossible, are but a few of the new and exciting capabilities that can be brought to bare in solving problems and leveraging opportunities. It is the mission of Recognos Financial to bring these new capabilities to the financial services industry both as a data vendor and a provider of data centric applications that combine external or market data with data internal to an organization.

New Data Capabilities

Recognos Financial has developed a semantic method for structuring unstructured data within the financial services sector. As an EDGAR distributor, all the text documents within the EDGAR database are now accessible to firms not simply as text documents but as customized data feeds of both extracted data elements and the supporting documents. The Recognos Financial method can also be applied to any text documents within an organization. Typical examples include all documents related to Alternative Investments, Loan Agreements, Loan Applications, Letters of Credit, Contracts, and many more. Recent studies have indicated that up to 75% of all data within an organization is unstructured. Recognos Financial can “open up” this data so that it can be used by staff, databases, and applications. Unlock your data and discover a world of opportunity.

Reference Data Center (RDC)

The Reference Data Center for Mutual Funds (RDC) is an industry utility designed to provide participants and their clients with ALL the Mutual Fund information necessary to support their business from start to finish.

The RDC is a repository of official mutual fund documents that includes summary prospectus, statutory prospectus, Statement of Additional Information, Risk/Return Summary, shareholder reports and other disclosure documents that both Fund Families and Intermediaries can use.

The RDC is not just a simple repository of relevant mutual fund documents. By transforming the unstructured text into meaningful data, the RDC enables interactive access to all the documents and key data elements. This provides a reliable and cost-effective source of critical mutual fund information. ...more

Extract Transform Integrate Platform (ETI)

ETI Platform – Combination of extraction methods
  • Automatic data extraction – user trained machine learning – for fields that appear explicitly in the documents in a certain context
  • Traditional Machine Learning with training data sets for Signature and Stamp Recognition (non text symbols in an Image Document)
  • NLP 4GL Script based extraction – for example for Boolean values – for derived fields; Example: Can I invest in this Mutual Fund my SEP IRA?
  • Semantic “synonyms” meta data tree is used to solve the synonyms problems
  • Humans are solving the discrepancies and are training the system ...more