A single-screen model for estimating Kardeshev progression across companies, states, countries, and global baselines. Adjust power, compute allocation, efficiency, and capital formation to see how quickly an entity can close the gap to Type I capability.
Use scenario presets or tune the assumptions directly. Each control updates the score, timeline, capital estimate, and bottleneck analysis immediately.
Compare the active scenario against three major regional baselines and a global reference. Benchmarks use the same model assumptions for a cleaner directional view.
Select an entity from the data library to inspect its source class, freshness cadence, and modeling notes.
Manual foundation dataset with fields designed for future near-real-time refreshes.
This model uses a Kardeshev-derived power score as the base signal, then layers bounded modifiers for compute alignment, infrastructure efficiency, capital formation, strategic leverage, resilience, and scale. A bottleneck penalty then reduces the score when key constraints remain binding.
Current entity values are modeled composites and directional proxies. They are useful for comparative analysis, but they should not be treated as audited real-time measurements.