Text-to-Spaceship: Accelerating Mission Development with AI

This proposal aims to revolutionize NASA Goddard's mission development by infusing AI and computational design to accelerate development cycles and realize game-changing performance improvements. The Text-to-Spaceship framework will guide NASA's transition from using AI as an assistant to implementing fully autonomous AI-powered mission development as AI progresses toward Artificial General Intelligence within the next decade. The approach begins by using Large Language Models to translate natural-language mission requirements into subsystem-level specifications. These requirements then feed into specialized discipline-specific AI design agents for structures, instruments, avionics, thermal systems, etc. These agents employ evolutionary algorithms, reinforcement learning, surrogate modeling, and topology optimization to rapidly explore design spaces and identify optimal solutions that might elude traditional human-driven processes. Current developments like Evolved Structures, Text-to-Structure, and Text-to-Optics have already demonstrated tenfold increases in iteration speed and mission-enabling performance gains. Standardized interfaces link each design agent to its analysis tools (e.g., FEA, thermal, mission simulators). Candidate designs are auto-validated against requirements in real time, eliminating manual handoffs and reducing iteration cycles from days to minutes. NASA’s standards, best practices, and institutional knowledge are encoded into the disciplinespecific agents to ensure compliance and quality. Design rationale and results are captured automatically, facilitating human oversight and iterative improvement of design agents. Validated subsystem designs are then automatically synthesized into integrated mission architectures, with system-level AI agents handling cross-disciplinary trade-offs related to mass, power, volume, and cost constraints. This process iterates until producing an optimized, fully validated mission design complete with documentation and traceable links to original objectives. This AI-powered workflow transforms traditional design processes into an integrated computational pipeline that dramatically reduces iteration time, accelerates mission development, lowers costs and risks, and empowers teams to explore breakthrough mission concepts. By automating routine engineering tasks, Text-to-Spaceship frees human experts to focus on creative problem-solving, mission-critical decisions, and technology development where their expertise provides maximum value.

This is a mature technology (TRL 7+) — the realistic path in is usually NASA's Technology Transfer Program: licensing an existing NASA patent, or a Space Act Agreement to use NASA facilities/expertise directly. NASA also runs a startup licensing program with no upfront fee for companies formed to commercialize a specific NASA technology.

None of these are guaranteed paths for this specific project — TechPort itself doesn't have an "apply" button. Reaching out to the contact(s) above with a specific question is usually the fastest way to find out what's actually open.