QuadSci.ai

QuadSci. ai, based in the US, provides advanced predictive intelligence solutions tailored for B2B technology companies, enhancing revenue operations and customer success management through data-driven insights. QuadSci. ai is a predictive intelligence company founded in 2023 and headquartered in Garden City, US.

The company specializes in providing solutions to improve revenue operations and customer success management. In February 2026, QuadSci. ai raised USD 8 million in Series A funding led by Crosslink Capital, with contributions from Correlation Ventures and Alumni Ventures Group. The funding will support product development and expansion efforts.

QuadSci specializes in predictive intelligence solutions designed for B2B technology companies, primarily targeting revenue operations and customer success management. Their core offerings include Growth AI and Cohorts AI, leveraging product telemetry to forecast customer churn with 94% accuracy and identify growth opportunities with 90% accuracy. Their solutions provide actionable insights, enabling businesses to identify at-risk accounts and expansion opportunities up to 12 months in advance. QuadSci serves clients including Clari and Reltio and integrates with over 50 enterprise tools like Salesforce and Mixpanel, primarily in North America, Europe, and Asia.

QuadSci operates under a subscription-based revenue model, facilitating transactions through B2B partnerships with technology firms. Clients engage with QuadSci to integrate its predictive intelligence solutions into their platforms, enhancing revenue operations with insights from product usage data. The pricing structure includes tiered subscription plans, allowing clients to select service levels based on their needs, which may vary based on telemetry data processed and utilized features. Following its recent Series A funding round in February 2026, where QuadSci.

ai raised USD 8 million, the company plans to enhance its product development, expand its go-to-market staff, and grow its engineering and data science teams. These initiatives are aimed at accelerating customer adoption of its artificial intelligence platform, with further plans to enter new markets and geographic regions.