AI/ML Model Development for Planetary Science

The contract aims to develop advanced artificial intelligence and machine learning models tailored for analyzing planetary data, specifically focusing on spectral imaging and terrain mapping to enable autonomous exploration and enhance scientific discovery. These models will be designed to process complex datasets collected from space missions, extracting meaningful patterns and insights that support decision-making for robotic systems operating on planetary surfaces without direct human intervention. The work will contribute directly to NASA’s Science Mission Directorate’s goals of expanding knowledge about planetary bodies through data-driven scientific analysis and intelligent autonomous systems. This subcontract is issued under NAICS code 541715, which classifies it within research and development in the physical, engineering, and life sciences. Although the solicitation number and specific point of contact are not provided, the opportunity is hosted through NASA’s NSPIRES platform, indicating it is part of the agency's broader initiative to partner with external entities in advancing space science technologies. Performance location details are unspecified, but the scope implies collaboration across research institutions and industry partners capable of delivering cutting-edge AI/ML solutions compatible with NASA's planetary mission requirements. The posting date of July 10, 2026, suggests this is a forward-looking procurement targeting future mission readiness and technological innovation in autonomous planetary science.