Urban areas are comparable. They vary across continents and among cultures and ethnicities, but clusters of amenities, landmarks, points of interest, and more can still be considered similar in terms of what motivation they initiate for people to pass by.

Consequently, business performance at different locations also reflects how attractive the vicinity — besides the offer — is to a target group. This is no news, but making this vicinity effect finally measurable, is.

Similarity of locations is what Gradial computes for you employing thousands of dimensions, yielding the ultimate spatial data sets for AI-propelled decision making.

Easily enrich your location data with these extra layers of independent variables, fine grained, automatically assembled and spatially aligned by Gradial. Enriched data are AI-ready by design — compute on your own or use our spatially pre-fitted Deep Learning models to automatically find factors that impact your location-based target variable.

Start computing all your geospatial decisions and finally stop guessing.

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