QuadSci, a US-based AI-driven marketing analytics startup, has secured an $8 million Series A funding round led by Crosslink Capital, with participation from Alumni Ventures, Correlation Ventures, and several angel investors. The company aims to accelerate product development and expand its go-to-market teams, focusing on enterprise customers and strategic partners worldwide.
QuadSci’s platform analyzes trillions of telemetry events to help revenue and product teams predict churn, identify growth opportunities, and improve forecast accuracy. The company claims its AI can predict churn and expansion up to 12–18 months in advance with 94% accuracy, offering actionable intelligence based on real customer behavior rather than retrospective CRM data or surveys.
Short on time?
Here’s a quick look at what’s inside:
- Who is QuadSci, and why does this funding matter?
- How QuadSci’s AI platform works for marketers
- What sets QuadSci apart in a crowded analytics market?
- What marketers should know about predictive customer intelligence
Who is QuadSci, and why does this funding matter?
Founded in 2023 and headquartered in Garden City, NY, QuadSci targets enterprise and B2B technology companies with its AI-powered customer intelligence platform. The company’s core use case is to help go-to-market teams predict customer churn and uncover expansion opportunities by analyzing product telemetry data at scale.
This $8 million Series A round brings QuadSci’s total funding to $10.2 million. The new capital will be used to accelerate product development, expand sales and customer success teams, and support continued growth with enterprise clients and partners. QuadSci’s recent recognition as “Machine Learning Company of the Year” at the 2025 AI Breakthrough Awards signals growing industry validation.
Patrecia Meliana
How QuadSci’s AI platform works for marketers
QuadSci’s platform operates at the intersection of product analytics, observability, and agentic AI. By processing trillions of telemetry events, the system provides a real-time, evidence-based view of how customers use products—moving beyond traditional CRM notes or survey data.
Key capabilities for marketers and revenue teams include:
- Predicting churn and expansion up to 12–18 months in advance
- Orchestrating growth and retention playbooks based on actual customer behavior
- Shaping product roadmaps using revenue-linked usage patterns
- Improving forecast accuracy within a narrow variance band
- Revealing the full customer journey based on product usage, not just touchpoints
The platform is designed to empower revenue agents and GTM teams with actionable insights, helping them align on the actions that matter most for business growth and retention.
What sets QuadSci apart in a crowded analytics market?
The marketing analytics space is highly competitive, with established players like Domo, Sisense, Alteryx, and Adobe Analytics. QuadSci differentiates itself by focusing on predictive accuracy and leveraging raw telemetry data rather than relying on rules or retrospective interpretations.
According to the company, QuadSci’s technology unlocks more than 80% of customer signals hidden in telemetry data, providing a “ground truth” for revenue teams. The platform claims over 90% accuracy in predicting churn and growth signals 12 months in advance and has processed over 7 trillion telemetry events to date.
Notable customers such as Clari and Reltio, along with industry awards, add to QuadSci’s credibility as it seeks to become a core infrastructure layer for modern GTM teams.
What marketers should know about predictive customer intelligence
For marketers, the shift toward predictive and prescriptive AI in customer intelligence means:
- Earlier, more objective evidence of customer risk and expansion opportunities
- The ability to act on real usage data, not just lagging indicators or subjective feedback
- More accurate forecasting and resource allocation for retention and growth
- A competitive edge in identifying and addressing churn before it impacts revenue
As AI-driven analytics become more central to marketing and revenue operations, platforms like QuadSci offer a path to more scientific, evidence-based growth strategies.
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