SBIR Phase II: Adaptable Invention Disclosure System

Award Information
Agency: National Science Foundation
Branch: N/A
Contract: 1738540
Agency Tracking Number: 1738540
Amount: $750,000.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: EA
Solicitation Number: N/A
Solicitation Year: 2014
Award Year: 2017
Award Start Date (Proposal Award Date): 2017-09-15
Award End Date (Contract End Date): 2019-08-31
Small Business Information
741 South Clark St, New Orleans, LA, 70119-7009
DUNS: 079577025
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Eric Leininger
 (504) 920-0361
Business Contact
 Eric Leininger
Phone: (504) 920-0361
Research Institution
This SBIR Phase II project continues previous development of an invention disclosure tool that allows users to draft a United States Patent and Trademark Office compliant patent applications by using an intuitive interface and game-based educational tools to draft patent applications. Inventors and small companies having no background in patent law and patent-application drafting strategies struggle with properly describing their inventions. Overcoming this lack of understanding on the part of the inventor requires a great deal of one-on-one educational training with a patent professional in order to draft a quality patent application. However, engaging a patent professional is costly and time consuming. This project expands the capacity of the invention disclosure software by allowing users to configure and customize the software for specific types of inventions and arts. Specifically, this project proposes a new customization tool for integration with the existing invention disclosure tool to allow for widespread adoption into varied technology arts. The customization tool comprises software modules that allow end users to identify and create narrative goals, design software interfaces by configuring display rules, design text output state configurations based on logical operators, design natural language output, design the natural language generated output that is desired for that product type and configure template text, token input, and grammar associations, and determine the position of natural language output into an overall document structure. This customization tool will allow for rapid, scalable distribution of the product to be driven by end users rather than through a traditional software development process, e.g., 1) researching, 2) market testing, and 3) designing and implementing each new version of a product for different technology arts.

* Information listed above is at the time of submission. *

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