Transforming the way we understand cities
Topos is using Artificial Intelligence to uncover the nuanced underpinnings of urban culture, transforming our understanding of cities, neighborhoods, businesses, and the interaction between people and place. Follow our progress by subscribing to our newsletter.
We use advanced AI techniques to transform heterogeneous data from hundreds of sources, producing a holistic understanding of location that encompasses factors ranging from nightlife vibrancy, to how urban an area feels, to likelihood of different business types to thrive.
Further, we’re able to quantify similarities between locations within a given city, or across geographies of any distance, enabling us to answer questions such as “What is the Williamsburg of Kansas City?”. Check out our blog to get a sense of how we’re transforming the way we understand place.
Topos location intelligence products are currently in use across multiple industries including Real Estate, Retail, and Advertising. We’d love to connect if you’re looking for new ways to understand location in relation to your business.
Work with us
We’re looking for candidates who can help us further our vision and enrich our culture of scientific inquiry, enthusiasm for urbanism, and respect. We welcome applicants from all walks of life and strive to create a diverse workplace where all viewpoints are welcome. Please start a conversation with us if you’d like to exchange ideas. Or, if you’re ready to jump into something specific, check out our open positions.
Topos is based in New York and is comprised of a team encompassing diverse skill sets and of widespread origins: London, Istanbul, Seoul, Mexico City, New Orleans, Berkeley, New York, Vermont.
5 Min Read
Ugly Produce: Coming soon to your doorstep
How Topos’ transformative understanding of location is powering the strategic geographic expansion of Imperfect Produce
12 Min Read
On Dollar Slices, Pizza Vectors, Prosciutto Zones and Topping Hyperspace
Pizza in NYC is ubiquitous and highly variable, providing a fascinating lens on the culture of the city.
8 Min Read
Band on the Run: Connecting neighborhoods through live music
In this article we use machine learning to explore the ways that neighborhoods are connected by live music.
2 Min Read
Introducing The Topos Similarity Index and [x] Everywhere
What makes one neighborhood similar to another?
11 Min Read
The Next Wave: Predicting the future of coffee in New York City
Using economics, urbanism, data, and AI, we formulated a model that predicts optimal coffee shop locations in New York City.
12 Min Read
Five Boroughs for the 21st Century
What happens when we abandon the century-old five borough partitioning of New York City and remap the city to reflect the realities of 2017