Finch Computing Receives Patent Protection on Three Inventions

Brings Issued Patents Total to 10 in Just 12 Months

Reston, VA – Finch Computing, a provider of innovative software solutions that enable new ways of interacting with information, was officially granted three new patents across the first week of 2016 in the categories of entity disambiguation & knowledge discovery, search, and in-memory database management system technology. This brings the company’s IP portfolio to a total of 10 issued patents, after filing 25 unique patent applications just 12 months ago, in December of 2014.

A team of five inventors contributed to the development of each technology, including Chief Technology Officer Scott Lightner, Chief Architect Franz Weckesser, Research Associate, Sanjay Boddhu, Consulting Modeling and Analytics Engineer, Rakesh Dave, and Data Science Architect, Robert Flagg.

“We are proud to see the continued, rapid issuing of our patents across a wide variety of categories, demonstrating the value of not just our database technology, but the real-time analytics and search capabilities that we’re coupling with it via our FinchDB product,” said CTO Scott Lightner. “FinchDB is a database, search technology and an analytics engine – all in one, all in-memory. And we’re extremely pleased about this recognition of the technical uniqueness of what we’re building.”

The three newly-issued patents include:

  • U.S. Patent No. 9,239,875: “Method for Disambiguating Features in Unstructured Text,” which protects the disambiguation of same-named or similarly named entities within unstructured text. This affords users the ability to understand huge volumes of content and serves as the foundation for an enterprise-wide text analytics strategy. (Scott Lightner, Franz Weckesser, Sanjay Boddhu, Rakesh Dave, Robert Flagg)
  • U.S. Patent No. 9,230,041: “Search Suggestions of Related Entities Based on Co-Occurrence and/or Fuzzy-Score Matching,” which is a search suggestion tool that employs a co-occurrence knowledge base to suggest possible new queries, giving users a more comprehensive view into their data. (Scott Lightner, Franz Weckesser, Sanjay Boddhu)
  • U.S. Patent No. 9,223,875: “Real-Time Distributed In-Memory Search Architecture,” which is a system of network segments with bandwidth and latency tiers that allow for in-memory DBMSs to achieve true real-time capabilities. (Scott Lightner, Franz Weckesser)

Finch Computing filed 25 patent applications 12 months ago, ten of which were issued within the last year. This is less than half the average time for examination and issuance at the U.S. Patent and Trademark Office. For the full list of patents, visit Finch Computing’s IP library page: