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SeerAI
AI · New York City, United States · Founded 2020
Harnessing advanced machine learning to extract actionable insights for global businesses MoreLess
Founded in 2020 by Daniel Wilson, Jeremy Fand, and Rob Roy Fletcher, SeerAI is a New York-based company that has developed a cloud-native platform for spatiotemporal analytics and data fusion. The company's core product, Geodesic, is a data fusion engine that synthesizes disparate datasets to provide actionable insights for decision-makers. SeerAI specializes in predictive analytics, utilizing machine learning to analyze diverse data sources and forecast trends and outcomes.
The company serves clients in sectors that require analysis of complex, location-based data, such as disaster response and intelligence. For instance, in the aftermath of Hurricane Ian, SeerAI's platform was used to ingest and analyze data to support rescue efforts. The business model is centered on providing its platform as a service to organizations that need to make sense of large-scale, dynamic data.
Jeremy Fand, the CEO, brings a background in data fusion and hedge funds to the company, indicating a focus on sophisticated data analysis and financial acumen. The founding team's collective expertise has positioned SeerAI to attract investment from institutional investors like In-Q-Tel and Stellar Ventures.
Keywords: data fusion, spatiotemporal analytics, predictive analytics, machine learning, geospatial intelligence, disaster response, data synthesis, cloud-native platform, decision support, situational awareness
Talent graph
SeerAI's talent
Source: Dealroom Talent Intelligence.
Global footprint
Where SeerAI has talent and traffic
team presence
Market sentiment
What the market is saying about SeerAI
An AI-synthesized read of the highest-engagement posts about SeerAI on X over the past 7 days. We rank by likes & retweets, ignore corporate channels, and surface the themes that broke out from real people.
Reading the room on X — pulling top posts and synthesizing themes…
Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour
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