QuadSci, a US-based AI-driven marketing analytics startup, has raised $8 million in a Series A funding round led by Crosslink Capital, with contributions from Alumni Ventures, Correlation Ventures, and various angel investors. Founded in 2023 and headquartered in Garden City, NY, QuadSci aims to enhance its product development and expand its go-to-market teams, particularly targeting enterprise customers and strategic partners on a global scale.
The company leverages its platform to analyze trillions of telemetry events, providing insights to revenue and product teams that help in predicting customer churn, identifying growth opportunities, and refining forecast accuracy. QuadSci claims that its AI can predict customer churn and expansion up to 12 to 18 months in advance with an accuracy rate of 94%. This capability allows businesses to receive actionable intelligence grounded in real customer behavior rather than relying solely on retrospective Customer Relationship Management (CRM) data or surveys.
This latest funding brings QuadSci’s total funding to $10.2 million, and the company plans to utilize the capital to accelerate product development and bolster its sales and customer success teams. The firm has recently gained recognition, having been awarded “Machine Learning Company of the Year” at the 2025 AI Breakthrough Awards, which underscores its growing credibility in a competitive landscape.
QuadSci’s platform operates at the intersection of product analytics, observability, and agentic AI, processing extensive telemetry data to create a real-time, evidence-based view of customer interactions with products. This differentiates QuadSci from other players in the marketing analytics space, where established competitors like Domo, Sisense, Alteryx, and Adobe Analytics dominate. The company asserts that it can unlock over 80% of customer signals hidden within telemetry data, offering what it describes as a “ground truth” for revenue teams.
Notable customers including Clari and Reltio validate QuadSci’s focus on predictive accuracy and raw telemetry data analysis. The platform is designed to empower revenue agents and go-to-market teams with actionable insights, enabling them to align on strategic actions that are essential for business growth and customer retention. Key capabilities include not only predicting churn and expansion scenarios but also orchestrating growth and retention strategies based on authentic customer behavior.
As the marketing landscape increasingly shifts towards predictive and prescriptive AI, QuadSci’s platform provides marketers with earlier, objective evidence of customer risk and growth opportunities. The advanced analytics capabilities allow businesses to act on real usage data, rather than relying solely on lagging indicators or subjective feedback. This evolution aims to enhance forecasting and resource allocation for retention and growth, offering companies a competitive edge in preemptively addressing churn before it impacts revenue.
In a rapidly evolving field where AI-driven analytics are becoming integral to marketing and revenue operations, QuadSci’s innovative approach positions it as a promising contender in the quest for evidence-based growth strategies. With AI technology reshaping the content marketing landscape, QuadSci is well-placed to offer marketers the tools they need to navigate these changes effectively.
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