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Traverse3D Unlocking Scalable Immersive Training for Enhanced Readiness

AFWERX · AFWERX TACFI · AFWERX

AI-Readiness Score
15/25
Pathway Speed
4/5
Timeline Realism
3/5
Problem Framing
3/5
AI / ML Fit
2/5
Award + Transition
3/5

Award

$1,999,803
Award ceiling
SCHEMATA INC.
Awardee
Posted July 26, 2025

Description

The below core TACFI efforts were explicitly requested by 97 AMW leadership to expand and enhance the current virtual training efforts to increase training effectiveness, accessibility, and establish the conditions for base-wide adoption: Expand from 1 to 5 custom-built virtual training modules: Passenger Bus, Tractor-Trailer, and 3 Fuel Vehicles.Develop and implement user voice control capabilities with 95%+ recognition accuracy.Implement Advanced Real-Time Collaboration CapabilitiesDevelop administrative controls and analytics for instructors and administrators, including natural language prompting that will allow users to receive answers and data from simple text prompts, improving the ease-of-use.Ensuring AFNet compatibility and scalable content delivery.Key technical risks include potential integration challenges with Air Force systems and maintaining performance across various devices. Mitigation strategies involve close collaboration with Air Force IT personnel, rigorous testing across multiple platforms, and working toward AFNet compliance. Traverse3D may use TACFI funds to work with proven vendors such as Second Front Systems to comply with AFNet regulations.Programmatic risks include potential delays in obtaining necessary approvals or changes in Air Force requirements. These will be mitigated through regular communication with stakeholders and a flexible development approach. Utilization risk is common when large entities like the DoD adopt new solutions. Traverse3D is emphasizing intuitive user experiences throughout the design, eliminating the need for subject matter experts to teach users how to use the training platform. This mitigates the risk associated with technical POCs or instructor availability or turnover, which often causes digital platforms to languish. Rather, the Traverse3D module will be self-sustaining once it is incorporated into the regular training process.

Score Rationale

TACFI is a legitimate fast-track AFWERX instrument, earning a strong pathway score, though it's a sole-source extension of an existing effort (Traverse3D) rather than a competitive AI-native opportunity. The AI/ML fit is weak — voice recognition at 95%+ accuracy is a commodity capability (Whisper/cloud APIs), and the NLP analytics dashboard is a thin AI wrapper on what is fundamentally a virtual training content-expansion and IT integration project; the core work is 3D module development and AFNet compliance, not AI. Problem framing has reasonable specificity (5 vehicles, named end-user 97 AMW) but success metrics beyond voice accuracy are absent, and the response deadline is unknown, limiting timeline scoring.

Source

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