Customers
Our customers
Discover why leading enterprises rely on Monte Carlo for data + AI observability.
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What our customers say
Monte Carlo is the only solution battle-tested in 100s of production environments
“Monte Carlo helps you pinpoint any bottlenecks in your pipeline and streamline the effort to reduce technical debt where it’s needed most. Monte Carlo helps you maintain a high performance of your pipeline, quickly address emerging issues, and reduce cost consumption.”
“Monte Carlo gives upstream and downstream lineage for a 40,000-foot view of the entire data ecosystem — and this helps stakeholders across the company truly run.”
“In the past, we might have to backfill six months of data to when the issue started. But if we can detect an issue in a day, then a one-day backfill can be a lot cheaper. There are lots of benefits, like engineering time, that we’re seeing from data observability.”
“We have 10% of the incidents we had a year ago.”
“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.”
“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.”
How Roche built trust in the data mesh with data + AI observability
CreditKarma's journey to reliable generative AI models with data + AI observability
How Sub-Zero Group put data quality issues on ice
How JetBlue used data + AI observability to help improve internal "Data NPS" by 16 points year over year
Get started fast—scale faster.
Fast setup—even faster time to value. Connect to Monte Carlo in seconds, start monitoring out of the box and automatically scale with your environment.