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MOTAR STRATFI

AFWERX · AFWERX STRATFI · AFWERX

AI-Readiness Score
13/25
Pathway Speed
4/5
Timeline Realism
3/5
Problem Framing
2/5
AI / ML Fit
1/5
Award + Transition
3/5

Award

$3,359,921
Award ceiling
DYNEPIC, INC.
Awardee
Posted September 21, 2023

Description

Dynepic’s STRATFI solution continues the efforts of the completed Phase II SBIR to continue, extend, scale and enhance the features and capabilities of MOTAR. STRATFI funding provides the remaining core capabilities to make MOTAR a viable and sustainable XR ecosystem. MOTAR provides a secure digital infrastructure to save time and money to deliver a platform with the critical capabilities required to support the newest technologies as they come online. MOTAR will provide the training ecosystem that will encompass all aspects of training across a variety of career fields and multiple classification levels, with capability provided through cloud-based, hybrid, and on-premise (i.e. MOTAR-In-A-Box (MIAB)) configurations of MOTAR. Technologies and methodologies employed under the MOTAR project directly impact mission need and implement several key concepts and directives of current Air Force acquisition and engineering guidance. MOTAR offers the ecosystem and organizations to enable and facilitate training programs of any size while leveraging the entire industrial technology sector to develop and deploy XR and legacy training on the platform where it can be managed, analyzed, and improved over time. Training can also be published by subject matter expert Airmen in courses that utilize their expertise and tool suites offered by industry.

Score Rationale

AFWERX STRATFI is a legitimate fast-track instrument earning a solid pathway score, but the problem framing is weak — MOTAR is described in broad ecosystem/platform terms with no concrete success criteria, no named end-user operational outcome, and no data availability discussed. The AI/ML fit is the lowest score because this is fundamentally an XR training platform and cloud infrastructure build; 'analyzed and improved over time' is the closest gesture toward ML, but AI is clearly grafted onto what is an IT modernization and platform scaling effort. Award ceiling of ~$3.4M and the STRATFI-to-transition pipeline earn a mid-range award score, though no explicit production transition program office is named.

Source

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