AI/ML Aided Aviation Sensors for Cognitive and Decision Optimization

krtkl (“critical”) will conduct a Phase I Feasibility Study to identify the best approach for reducing aviator cognitive load by optimizing information delivery and decision-making based on a thorough analysis of existing platforms, sensors, data sources, and onboard compute resources. This information will be used to identify Artificial Intelligence and Machine Learning based algorithms for presenting information and simplifying decision making using a combination of SWaP-optimized hardware, Modular Open Systems Approach (MOSA) interfaces, and containerized software, which will collectively inform the execution of prototype development and demonstration during Phase II. krtkl will leverage its experience with customer discovery and successfully delivering similar systems to ensure the best solution is identified, combining the art of the possible with prior aviation sensor and platform investments to meet the performance requirements.