QuadSci Raises $8M to Predict SaaS Churn with 94% Accurate AI

NEW YORK, NY – February 17, 2026 – QuadSci, an artificial intelligence firm specializing in customer intelligence, has secured an $8 million Series A funding round to scale its platform, which promises to predict customer churn and expansion with 94% accuracy up to 18 months in advance. The round was led by Crosslink Capital, with participation from Alumni Ventures, Correlation Ventures, and prominent angel investors, signaling strong market confidence in the company's solution to a growing crisis in the software industry.

The new capital is earmarked for accelerating product development, expanding its go-to-market teams, and supporting a growing roster of enterprise customers. The investment arrives as software-as-a-service (SaaS) companies face mounting pressure from declining net revenue retention (NRR) and persistent customer churn, forcing a shift away from traditional, often unreliable, forecasting methods.

The Signal Problem: Addressing a SaaS Revenue Crisis

Across the software industry, a new and challenging revenue reality has set in. For years, growth was the primary metric of success, but now investors and boards are scrutinizing retention and profitability with unprecedented rigor. This has exposed a fundamental weakness in how many companies understand their customers. Projections built on lagging indicators, subjective CRM notes, and customer surveys are proving inadequate, leading to surprise churn and missed expansion opportunities.

QuadSci was founded to address this core issue, which co-CEO Sean Murray identifies not as a data problem, but a “signal problem.” “Revenue teams don’t have a data problem. They have a signal problem,” Murray stated in the company's announcement. “With net revenue retention under pressure across the industry, leaders need earlier, more objective evidence of risk and expansion.”

The company argues that while businesses are awash in data, they struggle to extract the meaningful signals of future customer behavior. Traditional methods are often biased and retrospective. The real source of truth, according to QuadSci, lies in the vast, untapped potential of product telemetry—the raw data of how customers actually use a product. A study conducted in partnership with the sales advisory firm SBI validates this approach, revealing that early adopters of this AI-driven model achieved an average five percent improvement in Net Revenue Retention.

From Telemetry to Truth: How the AI Achieves 94% Accuracy

QuadSci’s core innovation is its ability to transform raw, high-volume telemetry data into predictive and prescriptive intelligence. By analyzing what it says are trillions of usage events, the platform claims to unlock more than 80% of the customer signal hidden within that data. This allows for its headline-making claim: predicting churn and expansion opportunities 12 to 18 months before renewal with 94% accuracy.

The platform operates at the intersection of product analytics, observability, and customer intelligence, utilizing what it calls “agentic AI.” It moves beyond simply reporting what happened to forecasting what will happen. “Most customer intelligence systems today are built on rules or retrospective interpretation of meetings, surveys, and CRM notes,” explained co-CEO Dan Harmeson. “But those approaches are biased and incomplete... When you apply rigorous machine learning to product behavior at scale, you move from interpreting what happened to mathematically understanding what will happen next.”

To ensure its predictive performance, the company’s data scientists perform blind tests on customer data, training its Growth AI model on 80% of telemetry data and validating its predictions against the remaining 20%. This rigorous process allows the AI to identify subtle shifts in usage patterns that correlate directly with future revenue outcomes, distinguishing between customers on a path to churn and those ripe for expansion.

Market Validation and Investor Confidence

The $8 million investment is more than just capital; it's a significant vote of confidence in QuadSci's technology and market position. Lead investor Crosslink Capital has a history of backing transformative technology companies. “QuadSci is building real AI for revenue, grounded in behavioral 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.”

This investor enthusiasm is fueled by the company’s impressive traction. Since its inception in 2023, QuadSci has grown 5x year-over-year and has built a stable base of premier enterprise customers and strategic partners. This momentum was further solidified in 2025 when QuadSci, then a young company, won “Machine Learning Company of the Year” at the 8th annual AI Breakthrough Awards. The award program is a significant industry benchmark, having evaluated over 5,000 nominations from more than 20 countries.

A New Playbook for Growth and Retention

For customers, QuadSci's platform offers a fundamental shift from reactive problem-solving to proactive, evidence-based strategy. Instead of waiting for a red flag in a CRM or a poor survey score, go-to-market teams receive early warnings and actionable insights based on real-time behavior. The platform enables teams to orchestrate targeted growth and retention playbooks, shape product roadmaps based on revenue-linked usage patterns, and dramatically improve forecast accuracy.

Leading companies are already seeing results. Revenue intelligence platform Clari, a QuadSci partner, is leveraging the technology to achieve 94% accuracy in churn prediction 12 months in advance. Deanne Branham, Chief Customer Officer at Reltio, noted that QuadSci’s insights are built directly into their platform, providing their teams with a clear view of customer engagement to serve them more effectively. This integration with existing systems like Gainsight, Pendo, and Amplitude is key to its strategy, empowering revenue agents across the entire customer experience stack with a ground truth of product usage.

With this new funding, QuadSci plans to deepen its quantitative machine learning capabilities and expand its agentic portfolio, aiming to deliver a more intuitive experience for businesses seeking reliable answers. By connecting product usage directly to revenue, the company is not just predicting the future but giving its customers the power to change it.