Monte Carlo
Founded Year
2019Stage
Series D | AliveTotal Raised
$236MValuation
$0000Last Raised
$135M | 2 yrs agoMosaic Score The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.
-81 points in the past 30 days
About Monte Carlo
Monte Carlo provides a data observability platform that detects, resolves and prevents data downtime, providing visibility and interoperability between data tools. Monte Carlo primarily serves sectors such as financial services, healthcare and life sciences, technology, advertising, media, and entertainment. The company 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 Data Observability Platform
Monte Carlo’s Data Observability Platform automatically monitors and alerts for data issues across your warehouses, lakes, ETL, and business intelligence tools. Monte Carlo also provides automatic, field-level lineage, root cause analysis, and centralized data cataloging to better understand the accessibility, location, health, and ownership of their data.
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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 3 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
1,244 items
Artificial Intelligence
14,767 items
Companies developing artificial intelligence solutions, including cross-industry applications, industry-specific products, and AI infrastructure solutions.
AI 100
100 items
Latest Monte Carlo News
Sep 20, 2024
Shadowcat to present Catfish at the Monaco Yacht Show Shadowcat will introduce its latest concept in Monte Carlo, featuring submersibles, a helicopter pad and advanced expedition capabilities… Shadowcat is set to introduce its latest model, Catfish, at the Monaco Yacht Show next week. The vessel is designed for expeditions, combining superyacht accommodation with capabilities for demanding oceanic operations. Catfish is built to accommodate ten guests and nineteen crew members. It features the capacity to carry a 61-foot sportfish, three Pascoe International tenders, the AVA 660/7 Triton submersible and an EC135 helicopter housed in a certified pad and hangar. The design includes commercial-grade offshore davit and crane technology, as well as foldable decks to manage its range of equipment. Constructed from aluminium, the catamaran hull aims to provide a lightweight and fuel-efficient platform, with a top speed of 21 knots and a cruising range of 5,000 nautical miles at 14 knots. The vessel is engineered to operate in seas with waves up to 1.5 metres, maintaining a roll of six degrees and a pitch of three degrees, which Shadowcat claims offers greater stability compared to traditional monohull vessels. The interior of Catfish, designed in collaboration with T. Fotiadis of T.Fotiadis Design, includes spaces such as a “Mariner’s Den” with a fold-out balcony, a lounge with a gyroscopic pool table, a bar, and a glass-enclosed submersible garage. Shadowcat’s introduction of Catfish coincides with a growing interest in support vessels that also provide a level of comfort you find on a mothership. The vessel’s ability to deploy equipment quickly and safely without the need for ballast transfer is highlighted as a key feature, enhancing operational efficiency. The company will present the vessel at booth AL14 in the Quai Albert Tent. Profile links
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, ICONIQ Growth, Salesforce Ventures and 5 more.
Who are Monte Carlo's competitors?
Competitors of Monte Carlo include Cribl, Timeseer, Soda, Anomalo, Bigeye and 7 more.
What products does Monte Carlo offer?
Monte Carlo's products include Monte Carlo Data Observability Platform.
Who are Monte Carlo's customers?
Customers of Monte Carlo include Fox, Shipt, ShopRunner and Vimeo.
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Compare Monte Carlo to Competitors
Anomalo provides data quality solutions. It offers a platform that automatically detects and explains issues in enterprise data, providing root cause analysis and data monitoring services. It primarily serves businesses that rely heavily on data for decision-making and product development. It was formerly known as Data Gravity. It was founded in 2018 and is based in Palo Alto, California.
BaseCap is a company focused 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.
Datafold specializes in automated testing solutions for data engineers within the data analytics and quality assurance sectors. The company provides tools for data diffing, column-level lineage, and continuous integration testing to ensure data quality throughout development, deployment, and migration processes. Datafold's solutions are designed to help data teams deploy pipelines with confidence, accelerate development, and maintain high data quality standards. It was founded in 2020 and is based in New York, New York.
Ample Insight is a company specializing in data science and AI, offering services across various sectors including technology, healthcare, and consumer goods. The company provides consulting and implementation services in AI and machine learning, data engineering and architecture, as well as ensuring data integrity and governance. Ample Insight serves clients in industries such as healthcare, consumer packaged goods, and e-commerce, among others. It was founded in 2018 and is based in Toronto, Ontario.
Acceldata is a company focused on enterprise data observability within the data management and analytics industry. The company offers a platform that monitors enterprise data systems, ensuring data reliability, optimizing costs, and providing observability for compute and query operations. Acceldata's platform is designed to support data-driven enterprises by providing insights into data pipelines, quality, and performance across cloud, on-premises, and hybrid environments. It was founded in 2018 and is based in Campbell, California.
Ataccama is a software company that focuses on data quality, master data management, data governance, and big data in the technology industry. The company offers a unified data management platform that helps organizations leverage high-quality data in a secure and governed way, including automated data discovery, data quality checks, monitoring, anomaly detection, and data consolidation. It primarily 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.
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