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.
Will (computer engineer) and Lyden (ethnographic researcher) set out to build a dataset that reveals the "human layer."
Spatial.ai contracted by Ford to build navigation systems. Announces $2.1m in funding led by Serra Ventures.
Pivot: A data scientist taps Spatial.ai's navigation API to use social data to accurately predict retail store sales.
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.
Spatial.ai discovers a technique to anonymously redistribute data points to home block groups at scale. Begins building the PersonaLive™ segmentation.
Spatial.ai releases the PersonaLive™ segmentation system.
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.