Overview

Monte Carlo Data helps businesses ensure the reliability of their data through end-to-end data observability. Their platform allows real-time monitoring of data freshness, volume, schema, and quality, which is crucial for data engineers. It includes tools for incident detection and resolution, helping analysts address data quality issues efficiently and maintain stakeholder trust. By integrating with communication tools like Slack and Teams, Monte Carlo Data aims to prevent costly data incidents for businesses that rely heavily on data.

Simplify's Take

What believers are saying

• Growing demand for data observability tools boosts Monte Carlo's market potential.
• Integration with vector databases opens new opportunities in AI model development.
• Real-time data monitoring solutions are increasingly sought after by businesses.

What critics are saying

• Increased competition from Cribl and BigEye may impact market share.
• Technical challenges in integrating with vector databases could affect performance.
• New Chief Revenue Officer may lead to strategic shifts disrupting operations.

What makes Monte Carlo Data unique

• Monte Carlo offers end-to-end data observability for real-time data monitoring.
• The platform integrates with tools like Slack, Teams, and JIRA for seamless communication.
• Monte Carlo's root cause analysis speeds up data quality incident resolution.

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Funding

Total Funding

$236M

Above

Industry Average

Funded Over

4 Rounds

Notable Investors:

Accel

Notable Investors:

Accel

$135,000,000

Series D

May 2022

Series D funding is typically for companies that are already well-established but need more funding to continue their growth. This round is often used to stabilize the company or prepare for an IPO.

Series D Funding Comparison

Above Average

Industry standards

Ind Avg. $77M

$49M

$50M

$70M

$80M

$100M

$135M

View all funding stages