Companion Operating System for Mission Orbit Support
North Star
Sailors used the North Star to find their bearing when everything else was uncertain. C.O.S.M.O.S. does the same for space science — turning a real question into one clear, grounded answer instead of a guess.
ScrollMotivation
Sailors used the North Star to find their bearing when everything else was uncertain. This project does the same job for a real question about space science, turning it into one clear, grounded answer instead of a guess.
Every answer either cites the exact source passage it came from — or says plainly that no source supports one. Flagged, never guessed.
Technology & Modules
C.O.S.M.O.S. Companion Operating System for Mission Orbit Support
Two expert assistants in Deep Space, each with a different personality: Baseline and Banter.
Baseline — no humor, direct. States the fact and cites the source paragraph. Banter — high humor. The same fact, presented as commentary with jokes.
Trained on datasets from NASA SMD and IBM Research's NASA-SMD QA benchmark, and short-jokes for Banter's tone.
C.O.S.M.O.S. processes everything on the client side, drawing from a fixed set of 117 NASA datasets.
IBM Bob
The core development tool, used in plan mode for turning ideas into a product requirements document (PRD).
IBM Granite
The AI LLM model that serves as C.O.S.M.O.S.'s main engine.
Mission
The North Star turns noisy telemetry, scattered symptoms, and shifting supply numbers into one clear, grounded answer — so a crew in crisis knows what to do next, immediately.
Every answer is retrieved from mission documents and grounded with IBM watsonx.ai and Granite embeddings, never a guess, and always traceable back to the source it came from.
Team
Henry Shien Chen Khoo
MSc in Computer Engineering, Politechnika Wrocławska, Poland
BSc in Computer Science, Asia Pacific University, Malaysia & University of Staffordshire, UK
Laura Lai
MSc in Computer Engineering, Politechnika Wrocławska, Poland
BSc in Computer Science, Asia Pacific University, Malaysia & University of Staffordshire, UK
References
- Tony, L. A., Ganesan, H., Sangeetha, G. R., Amritha, A., Durairaj, R., Chaman, J. J., & Padmakumar, E. S. (2025). Building a standalone AI assistant for deep space exploration. Space Education and Strategic Applications, 5(2), 43–57. https://doi.org/10.18278/sesa.5.2.7
- Fraser, "Short jokes dataset," Hugging Face, [Online]. Available: https://huggingface.co/datasets/Fraser/short-jokes. [Accessed: Aug. 23, 2026].
- NASA IMPACT, "NASA SMD QA benchmark dataset," Hugging Face, [Online]. Available: https://huggingface.co/datasets/nasa-impact/nasa-smd-qa-benchmark. [Accessed: Aug. 23, 2026].
- C. Nolan, Director, Interstellar. Paramount Pictures / Warner Bros. Pictures, 2014.
Grounded answers
for a crew in crisis
Every answer is retrieved from mission documents and grounded with IBM watsonx.ai and Granite embeddings, never a guess, and always traceable back to the source it came from.
Launch C.O.S.M.O.S.