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Phase II STRATFI Capability Package

AFWERX · AFWERX STRATFI · AFWERX

AI-Readiness Score
16/25
Pathway Speed
5/5
Timeline Realism
3/5
Problem Framing
2/5
AI / ML Fit
3/5
Award + Transition
3/5

Award

$2,614,485
Award ceiling
ANNO.AI, INC.
Awardee
Posted July 12, 2022

Description

The USAF and broader Department of Defense (DoD) has a strong national defense-related mission need to accelerate the creation, testing and production of custom artificial intelligence (AI) and machine learning (ML) driven applications. Specifically, the USAF needs to increase the ease and automation of AI/ML application creation to address myriad mission needs across the service and national defense and better integrate AI/ML into these organization. The primary goal of this project is to accelerate, democratize and automate the ML application development process to better apply data science and ML engineering resources and create custom applications.   These applications and the ML models underlying them can be used to greatly enhance the capabilities of our cyber defense and offense, bringing production-ready custom ML applications to field more quickly and easily.

Score Rationale

AFWERX STRATFI is a top-tier fast-track instrument, earning the maximum pathway score, and the $2.6M ceiling lands in the mid-tier transition band. However, problem framing is weak — 'accelerate, democratize, and automate ML application development' is broad platform/tooling language with no bounded use case, no named end-user unit, no stated success metrics, and no indication of what data is available, pulling that score down sharply. AI/ML fit is real but diffuse: the ask appears to be an MLOps/low-code platform rather than a core AI perception or inference problem, making it more infrastructure-adjacent than genuinely AI-shaped.

Source

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