Monte Carlo

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582 reviews
  • 1 profiles
  • 5 categories
Average star rating
4.3
#1 in 4 categories
Grid® leader
Serving customers since
2019
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Monte Carlo Reviews

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Profile Name
Star Rating
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20
4
1
Verified User
U
Associate Analyst
Mid-Market (51-1000 emp.)
3.5/5

Monte Carlo has proven effective for managing exceptions and tracking the status of various quality control checks. Users appreciate its ability to set statuses easily, although creating incidents could be more straightforward.

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Verified User in Luxury Goods & Jewelry
AL
Verified User in Luxury Goods & Jewelry
Mid-Market (51-1000 emp.)
11/09/2026
Validated Reviewer
Verified Current User
Review source: Organic
Incentivized Review

Montecarlo review

-agentic monitoring capabilities is definitivelly interesting. -Being able to create custom role is also very helpfull
Verified User in Information Technology and Services
UI
Verified User in Information Technology and Services
Small-Business (50 or fewer emp.)
11/05/2026
Validated Reviewer
Verified Current User
Review source: Seller invite
Incentivized Review

Near-Zero Setup Redshift Monitoring with Proactive Slack/PagerDuty Alerts

Monte Carlo monitors our Redshift warehouse with almost no setup. The automatic table monitors catch freshness, volume, and schema changes across our Kafka and ODS tables, so the Data Engineering team can hear about a broken pipeline before the analysts do. Alerts route to Slack and PagerDuty, which fits cleanly into our on-call rotation. Other teams (Search, Ads, Tracking) can also build their own metric monitors and custom SQL monitors on the same platform, so data quality checks aren’t all on our team. I also like the MCP server: from Claude Code, I can triage an alert, check lineage, and review the monitors without leaving the terminal.

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San Francisco, US

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What is Monte Carlo?

Monte Carlo is the agent trust platform that unifies data and agent observability to monitor, troubleshoot, and improve production AI systems. As enterprises prepare to deploy thousands of agents across business-critical use cases, Monte Carlo provides the reliability infrastructure to support them along this AI transformation, from human-guided agents to fully autonomous operations. Founded in 2019 and backed by leading investors, Monte Carlo empowers data and AI teams to ship trusted AI at scale. Learn more at montecarlo.ai.

Details

Year Founded
2019
Website
montecarlo.ai