3 - Artificial General Intelligence for Optimal Predictive Maintenance

For the current SBIR Phase I application, the Navy is looking for novel solutions to predict and mitigate the failure of critical parts. Intelligent Artifacts’Artificial General Intelligence (AGI) software solution is a bottom-up analytical approach that learns continuously from the un-modeled data in real-time, and allows for complete explainability in both the functions used and in pointers to the historic data that produce predictions. Due to the modularity and ?exibility of our AGI platform, it is environment and domain independent, thus making it deployable on and from any other system. Intelligent Artifacts’ AGI platform will provide the Navy an automated fault/failure resolution system to use as decision support for predictive maintenance. The data layer will consist of sensory and equipment log input combined with incident fault detail regarding system problems. Our intelligence engine will extract contextual “pattern-of-life” information from the data layer and provide actionable recommendations for pre-failure maintenance. The primary output of the Phase I SBIR Proof of Concept will be a live, interactive, trained intelligence agent capable of predictions and recommendations.