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Topic Number: AF251-D016

Ranvier, LLC has been selected to develop the Twin Neural Network Reliability Solution for predictive modeling of the B61-12 Tail Kit Assembly, leveraging its proprietary software platform, MODELIST.

This initiative builds upon a successful Alzheimer’s Dementia proof-of-concept study, in which MODELIST enabled the creation of a bespoke neural network model that achieved 92% accuracy in diagnosing AD using minimal patient data — demonstrating MODELIST’s ability to rapidly create high-performing machine learning models.

The primary objective is to develop a twin neural network model for predictive reliability modeling, replacing outdated techniques to better assess and predict the reliability of the B61-12 Tail Kit Assembly. The model integrates real-world and counterfactual components for near-real-time reliability predictions.

A secondary objective focuses on refining MODELIST for commercialization, with enhancements to the user interface and experience to ensure it is intuitive, user-friendly, and ready for widespread adoption across industries.

At the conclusion of the project, Ranvier will deliver a fully developed MODELIST platform to the USAF. With global demand for predictive analytics projected to grow at a CAGR of 28.3% from 2025 to 2030, MODELIST’s combination of accessibility, power, and affordability positions it as a transformative solution in the predictive analytics market.