QuadSci Raises $8M to Predict SaaS Churn Before It Happens

"For years, B2B software companies have operated on a dangerous assumption: that meetings, CRM updates, and customer surveys tell them how their accounts are actually doing. The consequences of that assumption are now visible across the industry - net revenue retention is declining, churn is stubborn, and the average enterprise is sitting on trillions of telemetry events that contain the real signal, untouched."

"QuadSci was built to close that gap, applying statistically grounded, explainable machine learning to raw product telemetry to predict churn and expansion up to 12-18 months before renewal with 94% accuracy. Through its two core products, Cohorts AI and Growth AI, the platform maps the complete customer journey by usage rather than relationship, surfacing hidden risk and opportunity across the entire customer base and translating those findings into prescriptive playbooks that go-to-market and product teams can act on immediately."

B2B software companies often rely on meetings, CRM updates, and surveys to assess account health. That approach has contributed to declining net revenue retention, persistent churn, and large volumes of untapped telemetry data. Product usage data contains signals that identify at-risk customers and expansion opportunities. QuadSci applies statistically grounded, explainable machine learning to raw product telemetry to predict churn and expansion 12–18 months before renewal with 94% accuracy. The platform’s Cohorts AI and Growth AI map customer journeys by usage, surface hidden risks and opportunities, and generate prescriptive playbooks for go-to-market and product teams. QuadSci raised an $8M Series A led by Crosslink Capital.

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