Founded Year

2019

Stage

Series D | Alive

Total Raised

$236M

Valuation

$0000 

Last Raised

$135M | 3 yrs ago

Mosaic Score
The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.

+6 points in the past 30 days

About Monte Carlo

Monte Carlo operates in the data observability sector, offering a platform that focuses on data reliability and artificial intelligence (AI). Its main services include detecting data anomalies, triaging incidents, resolving root causes, measuring data quality, and optimizing cost and performance for data systems. It works with various sectors such as financial services, healthcare, technology, advertising, media, entertainment, retail, consumer packaged goods, and startups. It was founded in 2019 and is based in San Francisco, California.

Headquarters Location

548 Market Street

San Francisco, California, 94104,

United States

650-799-2908

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Monte Carlo's Product Videos

ESPs containing Monte Carlo

The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.

EXECUTION STRENGTH ➡MARKET STRENGTH ➡LEADERHIGHFLIEROUTPERFORMERCHALLENGER
Enterprise Tech / Data Management

The data quality monitoring market offers a range of tools and platforms designed to help organizations measure, fix, and use trusted data in their day-to-day operations. It involves continuous monitoring and analysis of data to detect and resolve issues promptly, as well as the establishment of metrics and performance indicators to measure and track data quality over time. By automatically monito…

Monte Carlo named as Leader among 15 other companies, including Databricks, Arize, and Atlan.

Monte Carlo's Products & Differentiators

    Monte Carlo

    The most widely adopted data + AI Observability platform improves the reliability of data + AI applications by accelerating data teams ability to find and fix data + AI quality issues at scale.

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Research containing Monte Carlo

Get data-driven expert analysis from the CB Insights Intelligence Unit.

CB Insights Intelligence Analysts have mentioned Monte Carlo in 2 CB Insights research briefs, most recently on Jul 31, 2023.

Expert Collections containing Monte Carlo

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Monte Carlo is included in 3 Expert Collections, including Unicorns- Billion Dollar Startups.

U

Unicorns- Billion Dollar Startups

1,297 items

A

AI 100 (All Winners 2018-2025)

100 items

A

Artificial Intelligence (AI)

20,629 items

Latest Monte Carlo News

Monte Carlo Appoints New Chief Marketing Officer Luminary Cloud Raises $72M to Develop Physics-Based AI Tools for Engineers 58 S...

Sep 17, 2025

Veteran marketing executive Wayne Jin joins the data and AI observability company to lead its global marketing strategy amid continued growth. Written byBuilt In Staff, With AI Published on Sep. 17, 2025 Photo: Shutterstock Ashley Bowden | Sep 17, 2025 Monte Carlo , a data and AI observability company, recently appointed Wayne Jin as its new chief marketing officer. Jin, who has more than two decades of experience in marketing and growth roles at technology companies, will lead the company’s global marketing strategy. Monte Carlo’s goal is to eliminate downtime for data and AI by ensuring that AI products and the data that powers them are reliable and accurate. Its appointment of Jin coincides with its ongoing growth and the expansion of its customer base. Prior to joining Monte Carlo, Jin served as vice president of product and marketing at Grafana Labs, helping scale the company’s platform to support thousands of customers. “We’re excited to welcome Wayne to Monte Carlo,” Barr Moses, co-founder and CEO of Monte Carlo, said in a company blog post . “Wayne has a rare ability to combine a fluid vision for the future of our space, with the experience and skill to execute at the highest level.”

Monte Carlo Frequently Asked Questions (FAQ)

  • When was Monte Carlo founded?

    Monte Carlo was founded in 2019.

  • Where is Monte Carlo's headquarters?

    Monte Carlo's headquarters is located at 548 Market Street, San Francisco.

  • What is Monte Carlo's latest funding round?

    Monte Carlo's latest funding round is Series D.

  • How much did Monte Carlo raise?

    Monte Carlo raised a total of $236M.

  • Who are the investors of Monte Carlo?

    Investors of Monte Carlo include Accel, Notable Capital, Redpoint Ventures, Salesforce Ventures, ICONIQ Growth and 10 more.

  • Who are Monte Carlo's competitors?

    Competitors of Monte Carlo include Datafold, Informatica, Anomalo, Bigeye, Cribl and 7 more.

  • What products does Monte Carlo offer?

    Monte Carlo's products include Monte Carlo.

  • Who are Monte Carlo's customers?

    Customers of Monte Carlo include Intuit / Credit Karma, NASDAQ, JetBlue and Roche.

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Compare Monte Carlo to Competitors

Anomalo Logo
Anomalo

Anomalo provides automated artificial intelligence (AI) data quality monitoring for the enterprise sector. The company has a platform that identifies and resolves data quality issues using machine learning. Anomalo's solutions are available for businesses that need to maintain data integrity and compliance across various sectors. Anomalo was formerly known as Data Gravity. It was founded in 2018 and is based in Palo Alto, California.

Acceldata Logo
Acceldata

Acceldata specializes in enterprise data observability and provides tools for monitoring and optimizing data quality, pipelines, infrastructure, and user interactions. The solutions support various sectors, including financial services, manufacturing, retail, and life sciences, with a focus on AI-driven operations and multi-cloud environments. It was founded in 2018 and is based in Campbell, California.

D
Datafold

Datafold provides data engineering solutions, including automated data migrations, code testing, and quality monitoring within the data sector. The company offers services for data platform migrations, validates code changes, and monitors data quality through testing. It serves data engineering teams, offering tools that integrate with various data platforms. It was founded in 2020 and is based in New York, New York.

Ataccama Logo
Ataccama

Ataccama is a software company that provides data management solutions, focusing on data quality, master data management, and data governance across various industries. The company offers services including data discovery, data quality checks, master data consolidation, and data governance programs. Ataccama serves sectors such as banking, insurance, finance, healthcare, retail, government, life sciences, telecom, and transportation. It was founded in 2007 and is based in Toronto, Ontario.

B
BaseCap

BaseCap focuses on data health tracking and problem-solving within the data analysis and management sector. The company offers a platform that validates, automates, and transforms critical business information to ensure data integrity and streamline operations. BaseCap primarily serves industries such as mortgage, insurance, education, aerospace manufacturing, utilities, and financial services. It was founded in 2012 and is based in New York, New York.

Bigeye Logo
Bigeye

Bigeye is a data observability platform that focuses on data reliability in enterprise environments. The company provides services such as monitoring data products, detecting anomalies, and offering data lineage to assist in root cause and impact analysis. Bigeye serves sectors that need data governance and quality assurance, including financial services and communications technology. Bigeye was formerly known as Toro Data Labs. It was founded in 2019 and is based in San Francisco, California.

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