Monte Carlo

Monte Carlo

Digital data reliability platform designed to monitor and offer alerts for missing or inaccurate data.

HQ location
San Francisco, United States
Founding location
Tel Aviv-Yafo, Israel
Launch date
Enterprise value
$1.6b
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$135m

Valuation: $1.6b

Series D
Total Funding000k

Financials

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Revenues, earnings & profits over time
USD2021
Revenues0000
EBITDA0000
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EV0000
EV / revenue00.0x
EV / EBITDA00.0x
R&D budget0000

Source: Dealroom estimates

More about Monte Carlo
Made with AI
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Monte Carlo Data is a startup that operates in the data and artificial intelligence (AI) sector. The company provides a solution to data reliability issues by offering end-to-end data observability. This means that it helps businesses monitor and understand the status of their data in real time, including its freshness, volume, schema, and quality. This is particularly useful for data engineers who need to ensure the integrity of their data.

The company's platform also offers incident detection and resolution tools, which can help analysts address data quality issues more efficiently. This can save businesses significant time and resources, as well as maintain stakeholder trust.

For executives, Monte Carlo Data's services can help prevent the costly issue of bad data. The company's platform allows businesses to detect, alert, resolve, and prevent data incidents at scale. It also integrates with existing communication channels like Slack, Teams, and JIRA, making it a seamless addition to any business's data management toolkit.

Monte Carlo Data's business model is likely based on a subscription or usage-based fee, where clients pay for the level of service they require. The company's clients are likely to be businesses of all sizes that rely heavily on data, including those in sectors like finance, technology, and e-commerce.

Keywords: Data Reliability, AI, Data Observability, Incident Detection, Data Quality, Stakeholder Trust, Data Incidents, Communication Integration, Subscription-Based, Data-Dependent Businesses.

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