Planting design with evidence built in

Generate planting mixes that balance cooling, stormwater, air quality, and context safety using NSGA multi-objective optimisation. Returns a Pareto front of strong trade-offs with mix maps and species-frequency views, so teams choose a mix that fits the site and brief.

Solar maps built for planting, not technical review. Compare Bird Clear Sky and PVGIS TMY for different daylight assumptions. Shadows follow real site form - buildings, terrain, and canopy.

Most tools show tree presence as a single layer. This combines canopy cover with canopy height, so you can read both how much of the site is shaded and how tall that structure really is. Separates broad canopy percentage from finer-grain height mapping, giving a clearer read on density, exposure, and existing tree presence. Produces practical outputs like dense, moderate, and sparse cover cues plus height distributions - not just a generic green overlay.

See where a plant can thrive now and under future climate scenarios, so design decisions are grounded in ecological fit, not guesswork. For any selected location, we model suitability from occurrence records and climate predictors, then visualize likely stability, gain, or loss over time.

Our climate suitability modeling is optimized for real-world landscape design: faster zoomed-in regional runs, smarter predictor caching and clipping, stronger model validation, and clear reliability scoring when confidence is low.