MissionLab demo
Choose the audience first. The spacecraft model remains shared; the theory depth, controls, evidence and engineering expectations change.
Guided mission learning
A prediction, a short Digital Twin investigation, visible evidence and an age-appropriate engineering decision.
Evidence: Graph, explanation and mission result
Quantitative practical STEM
Controlled comparisons, calculations, telemetry plots and explicit model-versus-measurement boundaries.
Evidence: Calculations, plots and comparison
Systems thinking and trade studies
Configuration, constraints, uncertainty, mission policy and evidence-backed recommendations.
Evidence: Engineering memo and trade rationale
Digital Twin, Mission Control and V&V
The professional Digital Twin workspace, Mission Control capability, model identity, provenance, comparison and V&V-style conclusions.
Evidence: Requirements, test and evidence matrix
The academic paths above are public, self-serve software examples. A guided demo scopes the institution's objectives, participants and evaluation questions with CubeSTEM.
Schools and STEM programmes. Start with public software, then discuss the bounded pilot or evaluation that fits your setting.
University faculty and laboratories. Start with public software, then discuss the bounded pilot or evaluation that fits your setting.
Engineering teams and research laboratories. Start with public software, then discuss the bounded pilot or evaluation that fits your setting.
For institutions considering supervised physical training. Explore the packages and discuss the operator, site, training and acceptance scope in a guided demo.
1 · Frame
Map the institution’s objective to a mission question, expected evidence and appropriate academic depth.
2 · Run
Predict first, run a bounded comparison, inspect evidence and make a decision. Do not imply that software evidence was physically measured.
3 · Extend
Discuss a programme, Digital Twin engineering use or optional supervised hardware only after the software story is clear.
The current product includes a runnable Digital Twin workspace, Mission Control and a versioned Developer API with TypeScript, Python and Jupyter source clients for explicitly enabled local/private evaluation. A standardized six-lab teaching sequence is still being packaged. A stable production-public API, browser credential flow, arbitrary hosted code execution and research-grade hardware access are not offered by this page.