Kaveat turns location questions into a repeatable workflow. Define what matters, compare places against it, and save the reasoning behind the decision.
The Kaveat approach
Start with the area. Search or draw the place you are evaluating.
Make the trade-offs explicit. Add requirements and preferences that reflect the decision.
Keep the context. Save a profile so the result can be reviewed, compared, and shared.
Choosing a place rarely depends on one perfect data point. It depends on how several constraints fit together, what changes when an assumption changes, and whether the reasoning can be revisited later.
Give people a practical way to turn location data into decisions they can explain, revisit, and trust.
Make location strategy as legible as a dashboard, grounded in real maps and measurable trade-offs.
What this means in practice
Search, draw, and validate the area before analysis begins, so the result has a clear starting point.
Requirements, preferences, proximity, and isoline workflows make the assumptions behind a place easier to compare.
Profiles preserve the area, settings, map state, and resulting geometry so a decision can be revisited instead of recreated.
If you want the clearest read on what Kaveat does, open the workspace and see how the map, profiles, and billing-aware access fit together.