Monte Carlo
Founded Year
2019Stage
Series D | AliveTotal Raised
$236MValuation
$0000Last Raised
$135M | 3 yrs agoMosaic Score The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.
+4 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.
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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.
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 Outperformer among 15 other companies, including IBM, Snowflake, and Databricks.
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.
Jul 31, 2023
The data quality market map
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.
Unicorns- Billion Dollar Startups
1,277 items
AI 100 (All Winners 2018-2025)
100 items
Artificial Intelligence
10,033 items
Latest Monte Carlo News
Jun 11, 2025
Monte Carlo Expands Databricks Deal with AI/BI, Catalog Metrics Support Comments Off on Monte Carlo Expands Databricks Deal with AI/BI, Catalog Metrics Support Integrations Deliver End-to-End Observability for AI-Driven Business Intelligence and Metric Integrity in the Databricks Data Intelligence Platform Monte Carlo, the leader in data + AI observability, today announced extended support for the Databricks Data Intelligence Platform through new integrations with Databricks AI/BI and Unity Catalog Metrics. These enhancements, unveiled ahead of the Databricks Data + AI Summit 2025, represent a major milestone in enabling AI-ready data at scale for joint customers of Databricks and Monte Carlo. Monte Carlo’s new integrations with the Databricks Data Intelligence Platform enable teams to maintain observability across every layer of the data + AI stack, from transformation pipelines to semantic metrics powering critical pipelines, dashboards, and products. Databricks AI/BI, a business intelligence product built to democratize data for anyone in an organization, allows users to generate rich insights across the data + AI lifecycle. With Monte Carlo’s native integration, users can now monitor the quality of the data underpinning these insights with AI-powered anomaly detection and automated root cause analysis. Monte Carlo is also introducing support for Databricks Unity Catalog Metrics, enabling reliability at the semantic layer. Unity Catalog Metrics provides a unique governance solution that standardizes metric definitions across reports, dashboards, and AI/ML models—helping organizations bring clarity and context to their data. Monte Carlo’s integration allows teams to monitor the integrity of these definitions, ensuring that key business KPIs remain accurate, consistent, and trustworthy across domains. “As organizations scale their AI initiatives, the complexity of maintaining data quality across the entire stack becomes exponentially more challenging,” said Shane Murray, Head of AI at Monte Carlo. “Our expanded integrations with Databricks AI/BI and Unity Catalog Metrics address this critical gap by bringing observability to every layer—from raw data pipelines to the semantic metrics that power business-critical AI applications.” Monte Carlo will showcase these capabilities at the Databricks Data + AI Summit (booth #F602) For more details, visit: https://info.montecarlodata.com/events/databricks-summit-2025
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 Notable Capital, Accel, Redpoint Ventures, Salesforce Ventures, ICONIQ Growth and 5 more.
Who are Monte Carlo's competitors?
Competitors of Monte Carlo include Datafold, Anomalo, Bigeye, Cribl, Timeseer.AI 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 provides automated 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.
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.
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.
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.
Timeseer.AI is a platform that focuses on enhancing the reliability and observability of time-series data within the data management industry. The company offers a suite of tools for data quality scoring, monitoring, optimization, augmentation, cleaning, and connectivity to improve the health and trustworthiness of time-series analytics. Timeseer.AI solutions are designed to help data teams detect and address data quality issues proactively, ensuring that analytics are based on reliable data. It was founded in 2020 and is based in Hasselt, Belgium.
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.
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