Monte Carlo Raises Series C, Brings Funding To $101Million To Help Companies Trust Their Data

Monte Carlo’s Series C Highlights Rapid Growth of the Data Observability Category, Their Industry-Leading Customer Adoption, and the Company’s Global Expansion.

Monte Carlo, the data reliability company, announced that they have raised $60M in Series C funding from ICONIQ Growth with participation from Salesforce Ventures and existing investors Accel, GGV Capital, and Redpoint Ventures – bringing their total funding to $101M. With this round, Monte Carlo will fuel the growth of the Data Observability category, further develop its product offerings for our customers, support more use cases, and expand to new markets.

Recommended AI News: Customer Experience Emerged As The Top Use Case Among Enterprises Using Conversational AI

“We believe the potential impact of this technology is enormous and Monte Carlo is blazing the path forward for the Data Observability category.”

Monte Carlo’s Series C establishes the company as the first Data Observability company to reach this milestone, a testament to the team’s industry-defining thought leadership, new product releases, and rapid customer growth.

The rise of data downtime

In 2021, the need for accurate, reliable data has never been higher. According to a recent report from Gartner, data teams spend millions of dollars per year and 40 percent of their time tackling poor data quality, a number only expected to increase as companies become more data driven. Simultaneously, data systems are becoming more complex, distributed, and decentralized, widening the gap for data downtime – periods of time when data is missing, erroneous, or otherwise inaccurate, at each stage of the data lifecycle.

Pioneered by Monte Carlo, Data Observability leverages the best practices and principles of automatic application observability (think: Datadog or AppDynamics) and applies them to data pipelines, giving data engineers and analysts visibility across all data pipelines and data products. Simultaneously, Monte Carlo’s machine learning-powered platform provides data leaders and other data stakeholders with a holistic view of their company’s data health and reliability for critical business use cases.

“In partnering with both Snowflake, the category creator in cloud data warehousing, and Datadog, the leader in application observability, we have witnessed firsthand how the power of innovative approaches to longstanding problems can transform industries and improve business outcomes. The issue of data downtime has been around for decades, but Monte Carlo is innovating in data reliability, bringing data teams a powerful solution to truly solve this hundred billion-dollar problem,” said Matt Jacobson, General Partner at ICONIQ Growth. “We believe the potential impact of this technology is enormous and Monte Carlo is blazing the path forward for the Data Observability category.”

Recommended AI News: New Survey From Treasure Data Reveals Consumer Shopping Behaviors Heading Into 2021 Holiday Season

Category leadership, company expansion, and customer growth

Referred to as the New Relic of data by Forbes and the missing layer of the modern data stack by TechCrunch, Monte Carlo has experienced record-breaking growth over the past six months.

Since their Series B announcement in February 2021, Monte Carlo more than doubled revenue quarter-over-quarter, with an 800 percent increase in revenue year-over-year. Since the start of 2021 alone, Monte Carlo has brought on new customers across industries, including Intuit, Affirm, Fox, Vimeo, PagerDuty, and Zalora, among others. Additionally, Monte Carlo became the first Data Observability company to partner with industry leaders Snowflake, Looker and PagerDuty, bringing automatic, end-to-end data monitoring, anomaly detection, and field-level lineage to data teams everywhere.

“In 2021, it’s simply not enough to use data to drive accurate decision making and power digital products — you need to trust it, too. If you’ve been on the receiving end of bad data, you understand the pain: lost revenue, wasted time, and most importantly, lost confidence in data products. Once trust is lost, it’s hard to gain back,” said Barr Moses, CEO and co-founder of Monte Carlo. “As the industry leader in Data Observability, Monte Carlo solves this problem by enabling teams to accelerate the adoption of trustworthy, reliable data and stop bad data in its tracks — before it impacts the business. Our investment from ICONIQ Growth and other leading VCs signals the market confidence in our category and the need for a new approach to solving the very real problem of data downtime.”

For more insights, register for the industry’s first Data Observability Summit: IMPACT: The Data Observability Summit, featuring keynotes from data leaders including:

• First U.S. Chief Data Scientist, DJ Patil
• Founder of the Data Mesh, Zhamak Dehghani
• Co-founder of Databricks, Reynold Xin
• Creator of Apache Airflow and co-founder of Preset, Maxime Beauchemin
• Co-creator of Apache Kafka and co-founder of Confluent, Neha Narkhede
• CPO of Datadog, Amit Agarwal

Recommended AI News: Pepperdata Introduces Observability And Optimization For GPUs Running Big Data Apps