SBIR-STTR Award

Intelligent Data Exploration and Trending Engine (IDEATE)
Award last edited on: 10/13/21

Sponsored Program
STTR
Awarding Agency
DOD : MDA
Total Award Amount
$100,000
Award Phase
1
Solicitation Topic Code
MDA19-T003
Principal Investigator
M Douglas Williams

Company Information

Seed Innovations LLC

19960 Capella Drive
Monument, CO 80132
   (719) 368-4040
   info@seed-innovations.com
   www.seed-innovations.com

Research Institution

University of Colorado - Denver

Phase I

Contract Number: HQ0860-20-C-7069
Start Date: 4/6/20    Completed: 10/5/20
Phase I year
2020
Phase I Amount
$100,000
Seed Innovations (Seed) and the University of Colorado in Denver (UCD) apply our experience in natural language processing (NLP), artificial intelligence, big data, data analytics, automatic code generation, framework development, and software architecture to accomplish the research required. Through the research on this project, Seed and UCD design and develop a proof-of-concept system, Intelligent Data Exploration and Trending Engine (IDEATE). IDEATE interacts with users using natural language statements and queries, determines the data analysis required, retrieves the relevant data, performs the required data analysis, and reports the results back to user using natural language dialog, tables, visualizations, etc. IDEATE uses both recognition and generation natural language processing (NLP) to conduct an informed natural language dialog with the user performing data analysis across very large data sets. These data sets may include traditional relational databases, non-relational databases, as well as various flat file formats. For the IDEATE proof-of-concept, Seed and UCD apply modern software techniques including NLP, analysis workflow generation and execution, data modeling, and data analytics to support effective analysis of complex simulation results to help the warfighter. When deployed to meet MDA’s simulation analysis challenge, IDEATE substantially reduces the time for data analytics and increasing data analyst efficiency. Approved for Public Release | 20-MDA-10398 (2 Mar 20

Phase II

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Start Date: 00/00/00    Completed: 00/00/00
Phase II year
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