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Minerva
AI · New York City, United States · Founded 2023
AI platform for modeling consumer behavior insights MoreLess
Minerva provides a platform that utilizes artificial intelligence to model consumer behavior, offering companies predictive insights into their customers. The platform is designed for go-to-market organizations, providing hyper-granular context on their customers to make consumer behavior observable, predictable, and actionable. Minerva serves various industries, including real estate, sports, hospitality, and private wealth management, by identifying consumer propensities and triggers to enhance sales.
The company's technology combines and enhances a client's existing customer data with Minerva's own high-fidelity consumer data in a privacy-compliant manner. Through collaborative model-building with its clients, Minerva develops custom predictive models for different target personas and products. These deep customer analytics are delivered via real-time integrations to improve segmentation, targeting, and personalization. The platform can integrate directly with CRMs, marketing platforms, and data warehouses through its API and data feeds.
Minerva was founded in 2019 by Joaquin Roca, Craig T Wood, and Rafael Gonzaque and is headquartered in Brooklyn, New York. The company has secured venture capital funding, including a Series A round.
Keywords: consumer behavior analytics, predictive AI, customer intelligence, go-to-market data, lead enrichment, predictive modeling, data resolution, customer segmentation, real-time analytics, sales intelligence, marketing technology, propensity modeling, customer data platform, AI platform, data augmentation, consumer insights, lead scoring, financial services data, real estate data, wealth management analytics
Talent graph
Minerva's talent
Source: Dealroom Talent Intelligence.
Global footprint
Where Minerva has talent and traffic
Market sentiment
What the market is saying about Minerva
An AI-synthesized read of the highest-engagement posts about Minerva 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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