QuadSci, a NYC-based predictive and prescriptive AI for customer intelligence, has raised $8 million in a Series A funding round led by Crosslink Capital.
The round also saw participation from Alumni Ventures, Correlation Ventures, and angel investors Shail Jain, Peter Gibson, Tom Roloff, and Rob Eberle.
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The company plans to use the funds to accelerate product development, expand its go-to-market teams, and support ongoing expansion with enterprise customers and global partners.
QuadSci, a leading AI platform for customer intelligence, was created to help software companies move from guesswork to data-driven growth. By analyzing trillions of telemetry events, QuadSci connects real customer behaviour to revenue outcomes, uncovering over 80% of hidden customer signals. This lets executives and revenue leaders predict churn and expansion 12–18 months ahead with 94% accuracy.
Software companies are facing a new reality: net revenue retention is falling, churn remains high, and boards and investors are increasingly wary of forecasts based on outdated, manually collected data.
QuadSci works at the intersection of product analytics, observability, customer intelligence, and agentic AI. Using machine learning and AI, it turns raw telemetry data into clear, actionable insights that go-to-market and product teams can rely on.
QuadSci’s AI-based platform enables teams to
- Predict churn and expansion 12–18 months ahead
- Run growth and retention strategies based on real customer behaviour
- Guide product roadmaps using usage patterns linked to revenue
- Increase forecast accuracy within a tight margin
- See the full customer journey based on actual product use, not CRM notes or touchpoints
- Equip revenue teams across your CX and GTM systems with a true view of how customers are using your technology
QuadSci is already trusted by leading partners, helping organizations transform how they manage billions in at risk revenue and uncover growth opportunities that were previously overlooked.
Since its founding, QuadSci has grown quickly, achieving 5x year-over-year growth. The company now has a strong base of top enterprise customers and an equal number of partners. In 2025, QuadSci became the youngest company to win Machine Learning Company of the Year at the 8th annual AI Breakthrough Awards.
“Revenue teams don’t lack data—they lack clear signals,” said Sean Murray, co-CEO of QuadSci. “With net revenue retention under pressure, leaders need early and objective insights into risk and growth. Our AI provides actionable intelligence 12–18 months ahead, based on how customers truly use their products.”
“Most customer intelligence systems rely on rules or looking back at meetings, surveys, and CRM notes,” said Dan Harmeson, co CEO of QuadSci. “These methods are often biased and incomplete. The true source of insight is telemetry, not manually set flags or assumptions. Using machine learning on product behaviour at scale lets you move from guessing what happened to predicting what will happen next.”
“QuadSci is building real AI for revenue, grounded in behavioural data rather than rules or opinion,” said Jim Feuille, General Partner at Crosslink Capital. “As revenue leaders demand more accuracy and accountability, QuadSci is uniquely positioned to become the core infrastructure for modern GTM teams.”
About QuadSci
Founded by co-CEOs Dan Harmeson and Sean Murray, QuadSci is an AI platform for customer intelligence that links product usage and customer behaviour directly to revenue outcomes. By analyzing trillions of telemetry events, QuadSci helps companies prevent unexpected churn, identify growth opportunities, and guide GTM teams with evidence-based actions. QuadSci was named “Machine Learning Company of the Year” at the 8th annual AI Breakthrough Awards, which honours top companies, technologies, and products in the global AI market.
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