What is QuadSci?
QuadSci operates at the intersection of artificial intelligence and enterprise performance, providing a sophisticated suite of tools designed for revenue experience owners. The company's core value proposition lies in its performance experience flywheels, which utilize machine learning to optimize team productivity and customer engagement. By focusing on the specific needs of B2B technology companies, QuadSci provides the necessary infrastructure to transform go-to-market strategies into scalable, data-driven operations.
The firm's market position is defined by its commitment to delivering AI-powered automation that simplifies complex sales and marketing environments. As organizations increasingly prioritize efficiency and measurable growth, QuadSci's platform serves as a critical asset for teams looking to refine their operational models and achieve sustainable competitive advantages in a crowded digital landscape.
How much funding has QuadSci raised?
QuadSci has raised a total of $8M across 1 funding round:
Series A
$8M
Series A (2026): $8M with participation from Correlation Ventures, Crosslink Capital, and Alumni Ventures
Key Investors in QuadSci
Correlation Ventures
Correlation Ventures is a data-driven investment firm that utilizes advanced analytics to support companies in making rapid, informed decisions to achieve lasting market value.
Crosslink Capital
Crosslink Capital is a venture firm that partners with early-stage founders to build category-defining companies, leveraging a proprietary network to provide strategic advantages.
Alumni Ventures
Alumni Ventures manages a network of alumni-focused venture capital funds, providing the operational infrastructure and regulatory expertise necessary to support high-growth startups.
What's next for QuadSci?
With this major enterprise-level funding, QuadSci is poised to scale its engineering and go-to-market capabilities significantly. The strategic roadmap likely involves expanding the depth of its AI-driven telemetry features and broadening its reach within the B2B technology ecosystem. By utilizing the recent capital to enhance its performance experience flywheels, the company aims to solidify its leadership in the revenue intelligence space.
Looking ahead, the focus will remain on product innovation and market penetration. As QuadSci continues to refine its machine learning models, the company is expected to attract further interest from institutional investors seeking exposure to high-growth AI infrastructure. The current trajectory suggests a transition from early-stage development to a more aggressive scaling phase, aimed at capturing a larger share of the enterprise software market.
