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AI/ML Aided Aviation Sensors for Cognitive and Decision Optimization

Award Information
Agency: Department of Defense
Branch: Special Operations Command
Contract: H9240523P0009
Agency Tracking Number: S23B-001-0027
Amount: $209,853.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: SOCOM23B-001
Solicitation Number: 23.B
Timeline
Solicitation Year: 2023
Award Year: 2023
Award Start Date (Proposal Award Date): 2023-08-08
Award End Date (Contract End Date): 2024-03-15
Small Business Information
350 Townsend Street, Suite 301A
San Francisco, CA 94107-1696
United States
DUNS: 079542256
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Ryan Cousins
 (415) 857-4857
 sbir@socom.mil
Business Contact
 Ryan Cousins
Phone: (415) 857-4857
Email: cousins@krtkl.com
Research Institution
 Catalyst Campus for Technology and Innovation
 Abigail Steen
 
555 E. Pikes Peak Ave
Colorado Springs, CO 80903-3641
United States

 (719) 510-3045
 Nonprofit College or University
Abstract

krtkl (“critical”) will conduct a Phase I Feasibility Study to identify the best approach for reducing aviator cognitive load by optimizing information delivery and decision-making based on a thorough analysis of existing platforms, sensors, data sources, and onboard compute resources. This information will be used to identify Artificial Intelligence and Machine Learning based algorithms for presenting information and simplifying decision making using a combination of SWaP-optimized hardware, Modular Open Systems Approach (MOSA) interfaces, and containerized software, which will collectively inform the execution of prototype development and demonstration during Phase II. krtkl will leverage its experience with customer discovery and successfully delivering similar systems to ensure the best solution is identified, combining the art of the possible with prior aviation sensor and platform investments to meet the performance requirements.

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

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