QuadSci, a predictive and prescriptive AI platform for customer intelligence, has raised $8 million in a Series A financing round to accelerate product development and expand its go-to-market operations. The round was led by Crosslink Capital, with participation from Alumni Ventures, Correlation Ventures, and angel investors Shail Jain, Peter Gibson, Tom Roloff, and Rob Eberle.
The New York-based company said the fresh capital will be used to enhance its AI capabilities, grow its enterprise customer base, and deepen partnerships globally as software companies face mounting pressure on revenue performance.
Across the software industry, net revenue retention has been declining, churn persists, and investors are increasingly scrutinizing forecasts based on lagging and manually generated data. QuadSci was founded to address what it describes as a structural gap between customer behavior data and revenue outcomes.
The company analyzes trillions of telemetry events to directly link product usage to financial performance. QuadSci says its platform can unlock more than 80% of customer signal hidden within those telemetry datasets, enabling executives and revenue leaders to predict churn and expansion 12 to 18 months before renewal with 94% accuracy.
Operating at the intersection of product analytics, observability, customer intelligence, and agentic AI, QuadSci applies machine learning models to transform raw telemetry data into explainable insights for go-to-market and product teams. The platform is designed to help organizations predict churn and expansion well in advance, orchestrate growth and retention playbooks based on actual product usage, shape product roadmaps using revenue-linked patterns, improve forecast accuracy, and provide a comprehensive view of the customer journey grounded in behavior rather than CRM notes or anecdotal inputs.
The company says its technology is already deployed among enterprise customers and strategic partners managing billions of dollars in at-risk revenue, helping surface expansion opportunities that may have previously gone undetected.
Since its inception, QuadSci reports it has grown fivefold year over year and built a base of enterprise customers alongside a comparable number of partners. In 2025, the company was recognized as Machine Learning Company of the Year in the 8th annual AI Breakthrough Awards.
With the Series A funding, QuadSci plans to expand its agentic AI portfolio, advance its quantitative machine learning capabilities, and deliver a more intuitive user experience for revenue and customer experience teams seeking more reliable forecasting and retention insights.
KEY QUOTES
“Revenue teams don’t have a data problem. They have a signal problem. With net revenue retention under pressure across the industry, leaders need earlier, more objective evidence of risk and expansion. Our AI delivers actionable intelligence 12-18 months in advance, based on how customers actually use their products.”
Sean Murray, Co-CEO of QuadSci
“Most customer intelligence systems today are built on rules or retrospective interpretation of meetings, surveys, and CRM notes. But those approaches are biased and incomplete. The real source of truth is telemetry not manually defined flags or assumptions. When you apply rigorous machine learning to product behavior at scale, you move from interpreting what happened to mathematically understanding what will happen next.”
Dan Harmeson, Co-CEO of QuadSci
“QuadSci is building real AI for revenue, grounded in behavioral data rather than rules or opinion. As revenue leaders demand more accuracy and accountability, QuadSci is uniquely positioned to become the core infrastructure for modern GTM teams.”
Jim Feuille, General Partner at Crosslink Capital
