StreetSpring's answer:
I founded StreetSpring because I kept seeing the same problem over and over again. While walking through Philadelphia one day, I noticed how many storefronts were sitting vacant. At the same time, friends and family who wanted to start restaurants, cafés, salons, gyms, and retail shops were hesitant to take the leap.
It made me realize how difficult it is for a new business owner to understand—before signing a lease—whether their business is likely to succeed at a specific address. There are tens of thousands of similar businesses across the country, and no easy way to learn from their outcomes or neighborhood-level performance.
That's why I created StreetSpring, an AI-powered platform that predicts business survivability, revenue potential, and optimal locations for brick-and-mortar businesses. The tool runs in two directions on the same model: tenant reps and entrepreneurs use Find a Location to rank addresses for a chosen business; landlord reps use Fill a Location to rank business types for a chosen address. StreetSpring brings together AI modeling, consumer expenditure data, competitor intensity, walkability, and geospatial insights to show which addresses offer the highest chance of long-term success—from whichever angle you're approaching the question.
My mission is to create what I call The StreetSpring Effect—a measurable rise in the survival rate of new businesses by using AI to help entrepreneurs choose the best possible locations from day one. Fewer avoidable failures. More businesses staying open. Stronger neighborhoods.
Placer.ai
MapZot.AI
