SBIR-STTR Award

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Virtual Pilot Training System
Award last edited on: 5/26/2023

Sponsored Program
SBIR
Awarding Agency
DOD : SOCOM
Total Award Amount
$1,484,926
Award Phase
2
Solicitation Topic Code
N162-090
Principal Investigator
Phillip M Mangos

Company Information

Adaptive Immersion Technologies (AKA: AIT~Chimaera Science LLC)

3802 Spectrum Boulvard Suite 136A
Tampa, FL 33612
   (380) 2Sp-ectrumBlvd
   info@adaptiveimmersion.com
   www.adaptiveimmersion.com
Location: Single
Congr. District: 14
County: Hillsborough

Phase I

Contract Number: N/A
Start Date: 9/15/2021    Completed: 9/19/2023
Phase I year
2021
Phase I Amount
$1
Direct to Phase II

Phase II

Contract Number: H9240521C0014
Start Date: 9/15/2021    Completed: 9/19/2023
Phase II year
2021
Phase II Amount
$1,484,925
The current technology profile developed by Adaptive Immersive Technologies (AIT) includes an intelligent scenario generation capability; AI (Artificial Intelligence) capabilities for advanced within- and between-scenario content modification, training performance measurement, and cognitive diagnosis; Machine Learning (ML) algorithms for scenario difficulty quantification; after-action review; game engine; digital assets; user interface elements; and algorithm library for cognitive acquisition of the AMC trainer concept by supporting high-priority requirements for AI tools and Artificial Intelligence /Machine Learning (AI/ML) algorithm development and integration, scenario generation, performance measurement, and after-action review. construct measurement and scenario adaptation rules. These technology elements and enablers are domain and platform-agnostic and can readily be integrated into the planned Air Mission Commander (AMC) Virtual Pilot Training System. Leveraging these existing technology capabilities will greatly accelerate planned acquisition of the AMC trainer concept by supporting high-priority requirements for AI tools and Artificial Intelligence /Machine Learning (AI/ML) algorithm development and integration, scenario generation, performance measurement, and after-action review.