Chicago-based Enodo took in $2.5 million at the end of last year for its predictive platform that serves the commercial multi-family (ie, apartment dwellings) industry. The algorithms do it all: They can identify attractive investment properties, especially those with some fixer-upper potential. Enodo’s machine learning models can also calculate market rents, identify the rental impact on any given amenity package, and offer statistical comparisons to comparable properties. In other words, Enodo can tell you if it’s more valuable in a given region to offer an in-unit washer/dryer combo or a community room with an S&M dungeon.