Somewhere in New York, trillions of telemetry events are whispering secrets about revenue. Most companies treat that data like background noise. QuadSci decided to turn up the volume. QuadSci just...
Somewhere in New York, trillions of telemetry events are whispering secrets about revenue. Most companies treat that data like background noise. QuadSci decided to turn up the volume.
QuadSci just secured $8M in Series A financing, led by Crosslink Capital, with Alumni Ventures and Correlation Ventures in the mix, plus Shail Jain, Peter Gibson, Tom Roloff, and Rob Eberle backing the thesis. Smart capital does not chase vibes. It follows signal. And QuadSci is in the signal business.
Sean Murray and Dan Harmeson built QuadSci.ai, Inc. around a simple but uncomfortable truth. Software companies love to talk about predictable revenue until churn shows up like an uninvited guest who knows where the liquor cabinet is. Net revenue retention dips. Forecasts wobble. Boards start asking questions with that tone. The old way relied on lagging, human generated data and a little hope dressed up as confidence.
QuadSci reads the behavior instead of the tea leaves. The platform analyzes trillions of telemetry events and claims it can unlock more than 80% of customer signal buried inside that exhaust. It connects real product usage to revenue outcomes and gives revenue leaders a view 12–18 months before renewal, with reported accuracy at 94%. That is not a dashboard. That is early warning radar.
They position themselves at the intersection of product analytics, observability, customer intelligence, and agentic AI. That intersection is crowded with logos and loud promises. The difference here is prescriptive muscle. Not just who might churn, but what to do about it. Not just expansion potential, but where to lean in before the quarter gets tight.
The company reports 5x YoY growth since inception. In a market where software companies are managing billions in at risk revenue and getting grilled on every forecast assumption, that kind of traction suggests pain is real and budgets follow outcomes.
The $8M is earmarked to deepen the agentic AI stack, sharpen the quantitative machine learning edge, and streamline the experience so revenue leaders can trust what they are seeing. High trust insights are the currency now. Opinions are cheap. Behavioral data is not.
Credit to Crosslink Capital, Alumni Ventures, and Correlation Ventures for recognizing that telemetry is more than exhaust. It is evidence. And when you can translate evidence into action, you move from reactive to intentional without theatrics.
Sean Murray and Dan Harmeson are betting that the future of revenue is not guesswork dressed as strategy, but science delivered in plain English. QuadSci is not promising magic. It is promising clarity, which in this market might be the most valuable product of all.