We believe people are more than their demographics.
Spatial.ai started with an insight: billions of people are sharing their mindsets, interests, and attitudes on social media. If that unstructured data could be harnessed at scale, we'd no longer need to rely solely on demographics or surveys. And our understanding of customers could happen in real-time.
In 2016, we set out to solve this problem, and today hundreds of companies leverage Geosocial to make real-time predictive decisions.
What is Geosocial?
Geosocial data is location-based social data. Using advanced AI algorithms we categorize billions of unstructured data points into quantifiable people and places segments that reveal trends and predict behavior.
Awards & Recognition
Realcomm IBcon 2019 Digie Award Winner—Audience Favorite, Judges' Favorite
Our Story
2016
Will (computer engineer) and Lyden (ethnographic researcher) set out to build a dataset that reveals the "human layer."
2017
Spatial.ai contracted by Ford to build navigation systems. Announces $2.1m in funding led by Serra Ventures.
2018
Pivot: A data scientist taps Spatial.ai's navigation API to use social data to accurately predict retail store sales.
2019
Traction: Spatial.ai releases the Geosocial Proximity dataset measuring geotagged activity in an area. Launches with eight analytics partners and expands to over 100 retailers and restaurants using the data to predict sales.
2020
Spatial.ai discovers a technique to anonymously redistribute data points to home block groups at scale. Begins building the PersonaLive™ segmentation.
2021
Spatial.ai releases the PersonaLive™ segmentation system.
2022 & Beyond
We continue to believe people are more than their demographics. And look forward to a world where commerce and cities are designed for the humans that inhabit them.
Our Investors
