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Who uses Monte Carlo?

Data and AI observability platform that monitors pipelines and AI agents to catch quality issues in production. montecarlo.ai

69

companies use Monte Carlo

39 confirmed 30 observed

69 companies use Monte Carlo. 6% are in Media & Publishing. Confirmed or observed customers include Mercedes Benz, Toyota, and Pepsico. 39 of them are confirmed by a published case study, quote or press release.Latest check Oct 7, 2026: 69 of 69 companies checked, from 3 public sources.

Customers by proof
39 confirmed, 30 observed
Top industry
Media & Publishing, 6% of customers
Security
ISO 27001Source: trust.montecarlo.ai, checked Oct 7, 2026
Most similar
ThoughtSpot, 3 shared customers

What Monte Carlo does

Monte Carlo monitors data pipelines and AI agents in production, using machine learning to detect data quality incidents, trace their root cause and alert the owning team. It has extended its data observability product to agent observability, tracking agent behavior and the data agents rely on. The company states 400+ enterprises use it, including PepsiCo, Cisco, Nasdaq, JetBlue and Roche.

Written by usedby from montecarlo.ai.

Main features

  • Automated data quality monitoring with ML
  • Agent observability for AI in production
  • Root-cause analysis and data lineage
  • Incident alerting and triage
  • MCP toolkit for agentic operations

Common uses

  • Reducing data downtime
  • Monitoring AI agents in production
  • Ensuring trusted data for analytics and AI
  • Data incident management

69 companies use Monte Carlo

Every company below links to the public page that shows it uses Monte Carlo. Open a row to see the dated capture.

CompanyIndustryFirst public proofProof
Mercedes BenzAutomotive ManufacturingOn or before Oct 2026
ToyotaAutomotive ManufacturingOn or before Oct 2026
PepsicoConsumer GoodsOn or before May 2026
RocheBiotech & PharmaOn or before Jun 2026
3MManufacturingOn or before Oct 2026
American AirlinesAirlines & Aviation ServicesOn or before Oct 2026
CiscoTelecommunicationsOn or before May 2026
IntuitFintech & PaymentsOn or before Oct 2026
SalesforceSales Tech & CRMOn or before May 2026
The New York TimesMedia & PublishingOn or before Oct 2026
Showing 10 of 69.

By industry

6% of Monte Carlo's customers are in Media & Publishing.

Media & Publishing4
Fintech & Payments3
Telecommunications3
Airlines & Aviation Services2
Automotive Manufacturing2
Other55

Is Monte Carlo right for your company?

See what companies in your industry use, from the companies we track. Pick your industry.

Of the 66 Media & Publishing companies on usedby, 4 are listed as Monte Carlo customers. 3 use only another Data Cloud & Analytics tool.

  • Monte Carlo only, 6%
  • Monte Carlo and another tool in Data Cloud & Analytics, 0%
  • Another tool in Data Cloud & Analytics only, 5%
  • No Data Cloud & Analytics tool we can see, 89%

These are companies usedby tracks because a public page names them, often Monte Carlo's own customer page. It is not a market share. A company counts once, whatever the number of tools it uses.

What customers report

Results as published by Monte Carlo and its customers. Each one links to its dated source. We quote, we do not score.

Data trust is a human emotion, which isn’t always entirely rational. But, if you can give the analysts access to Monte Carlo where they can see the health of all the data objects they are using, you can sell them on the data’s quality.
Brian Pederson, JetBlue. Source, Captured Oct 7, 2026
Data observability has become a necessity, not a luxury, for us. As the business has become more and more data-driven, nothing is worse than allowing leadership to make a decision based upon data that you don’t have trust in. That has tremendous costs and repercussions.
Alex Tverdohleb, Fox. Source, Captured Oct 7, 2026

Before you buy Monte Carlo

What Monte Carlo publishes on the points buyers check first, each with its source and check date.

SecurityISO 27001trust.montecarlo.ai, checked Oct 7, 2026
Data processing termsA data processing agreement is available.montecarlo.ai, checked Oct 7, 2026
IntegrationsSnowflake, Databricks, Google Big Query, Amazon Redshift, dbt, Apache Airflow, Looker, Tableau, Power BI, Slack, PagerDuty, Jira Softwaremontecarlo.ai, checked Oct 7, 2026

Questions to ask in your demo

  1. Which of your customers look like us, by industry and size?
  2. What does a pilot cost, and what decides the move to a full contract?
  3. Where is our data stored, who can access it, and is it used to train models?
  4. How does Monte Carlo work with the tools we already use?

Monte Carlo alternatives

Tools compared with Monte Carlo most often, with the customers they share.

ToolCustomersShared with Monte CarloCompare
ThoughtSpot61 customers, 3 shared613Monte Carlo vs ThoughtSpot
Databricks38 customers, 5 shared385Monte Carlo vs Databricks
Hightouch52 customers, 2 shared522Monte Carlo vs Hightouch
Snowflake43 customers, 1 shared431Monte Carlo vs Snowflake
Hex29 customers, 1 shared291Monte Carlo vs Hex

Questions about Monte Carlo

Who uses Monte Carlo?

69 companies use Monte Carlo, including Mercedes Benz, Toyota, and Pepsico.

Which industries use Monte Carlo?

The industries with the most Monte Carlo customers are Media & Publishing (4), Fintech & Payments (3), and Telecommunications (3).

What are the alternatives to Monte Carlo?

The tools compared with Monte Carlo most often are ThoughtSpot (61 customers, 3 shared), Databricks (38 customers, 5 shared), Hightouch (52 customers, 2 shared), and Snowflake (43 customers, 1 shared). See all Monte Carlo alternatives.

How does usedby know who uses Monte Carlo?

Each company is linked to a public page that names it: Monte Carlo's customer page, a published case study, a press release or a job post. We save each page with a dated capture and check it again on each run. A company leaves the list only after three checks in a row that no longer find it, and at least 14 days after it was last seen. A company with a published case study or quote is never removed automatically.

What do confirmed, observed and signal mean?

Confirmed (39): a case study, a named quote or a press release. Observed (30): Monte Carlo shows the company on its own pages, for example a logo wall. Signal (0): a job post shows the company’s employees use Monte Carlo, the weakest proof. Every level counts as a customer, and each line shows its level.

How current is this list?

The most recent check was on October 7, 2026, and 69 of 69 companies on this list have been checked so far. A company leaves the list only after three checks in a row that no longer find it, and at least 14 days after it was last seen. A company with a published case study or quote is never removed automatically.

Changes and sources

New customers

No new customer yet. Tracking of Monte Carlo started on October 7, 2026. New customers appear after two complete checks of its pages.

Where this data comes from

Customer page montecarlo.ai/case-studiesCaptured Oct 7, 2026
3 case studies, quotes and press releasesLatest capture Oct 7, 2026