What is Monte Carlo?
Monte Carlo is dedicated to accelerating the adoption of data by actively reducing data downtime. Founded with the vision to help organizations fully realize the potential of their data, Monte Carlo provides solutions designed to ensure data reliability and accessibility. The company operates within the critical data infrastructure market, addressing the pervasive challenge of data downtime that hinders business insights and operational efficiency.
How much funding has Monte Carlo raised?
Monte Carlo has raised a total of $236M across 4 funding rounds:
Series A
$16M
Series B
$25M
Series C
$60M
Series D
$135M
Series A (2020): $16M with participation from Accel and GGV Capital
Series B (2021): $25M led by Redpoint Ventures, GGV Capital, and Accel Partners BV
Series C (2021): $60M supported by Accel, GGV Capital, Salesforce, Redpoint Ventures, and ICONIQ Growth
Series D (2022): $135M featuring Accel, GGV Capital, IVP, Salesforce, Redpoint Ventures, ICONIQ Growth, and GIC
Key Investors in Monte Carlo
Accel
Accel is a global venture capital firm that partners with exceptional teams from the inception of their ideas through all phases of private company growth, focusing on supporting innovative companies and entrepreneurs.
GGV Capital
GGV Capital is a global venture firm that invests in seed-to-growth stage companies across Social/Internet, Enterprise Tech, and Smart Tech sectors, with a focus on local founders.
Salesforce
Salesforce is a global leader in customer relationship management (CRM) software, providing a comprehensive suite of cloud-based solutions for sales, service, marketing, and commerce.
What's next for Monte Carlo?
The substantial enterprise-level funding, particularly the recent strategic investment, positions Monte Carlo for accelerated scaling and market expansion. This capital infusion will likely be directed towards enhancing product development, expanding sales and marketing efforts, and potentially exploring strategic partnerships. The company's focus on data reliability suggests a continued emphasis on innovation within the data observability and data quality space, aiming to become a foundational element of modern data stacks.
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