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Monte Carlo

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

Review Filters
Profile Name
Star Rating
315
199
19
2
1
AN
08/03/2026
Validated Reviewer
Verified Current User
Review source: In-app
Incentivized Review

Overpriced

The web UI is good to look at and in the beginning wasn't very confusing to navigate.
Steven D.
SD
Steven D.
Director of Data Governance @ Rockland Trust
07/28/2026
Validated Reviewer
Verified Current User
Review source: Seller invite
Incentivized Review

Effortless Setup, Fast Data Insights, and a Friendly UI

The initial setup and integration was an absolute breeze. Insights into data started flowing very quickly with very helpful guidance from MC team. Friendly enough UI for less-technical folks as well as detailed enough for those with more data technical skills.
Verified User
G
Verified User
07/23/2026
Validated Reviewer
Review source: Seller invite
Incentivized Review

Reliable Anomaly Detection with Learning Curve

I like how Monte Carlo is self-sufficient and can learn from itself to improve by creating new rules and alerts. It's smart enough to look at data, identify alerts, and create new ones if necessary, which saves a lot of time and work because we don't have to dig into the data ourselves or make our own tools.

About

Contact

HQ Location:
San Francisco, US

Social

@montecarlo_ai

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