About us
We’re on a mission to accelerate the world’s adoption of data by reducing data downtime.
Monte Carlo was founded to help organizations deliver on the promise of data.
Barr Moses, founder of Monte Carlo, worked with Fortune 500 companies as VP of Customer Operations at Gainsight to help teams use data as a competitive advantage. Lior Gavish, Barr’s co-founder, was formerly SVP of Engineering at Barracuda where he built fraud detection systems powered by data, ML, and analytics.
They were both struck by the fact that great tools were available to identify and resolve infrastructure issues, but there was no easy way to guarantee the validity of data flowing through pipelines.
In software engineering, every team has a solution like New Relic, DataDog, or PagerDuty to measure the health of applications and ensure reliability. How come data teams are flying blind?
Together, Barr and Lior realized there was an opportunity to help data teams actually trust their data.
At Monte Carlo — named after the simulation, not the destination — we’re committed to making data reliable. We’re committed to making the lives of our customers easier. And we’re committed to working with the broader data community to realize the full potential of data.
Meet the Monte Carlo team
We’re a lovable group of people passionate about data.
Join usOur investors.
In the Press.
Fivetran, Monte Carlo target data observability at ingestion
Monte Carlo embraces Fivetran, enables end-to-end observability for data pipelines
How BlaBlaCar Reached its Data Quality Management Destination
174 US tech startups have achieved unicorn status this year despite the downturn.
Data forecast for 2023: Time to extract more value
14 data predictions for enterprise growth in 2023
The rise of platform engineering, an opportunity for startups
Monte Carlo Bets on the Future of Data Observability
Data Observability Benefits Entire Data Pipeline Performance
3 trends driving data observability
Don’t Call It A “Data Product” Unless It Meets These 5 Requirements
Why you should care about data observability
In Conversation with Barr Moses, CEO, Monte Carlo
The 5 Best Data Observability Tools and Software to Consider for 2022
Is data observability recession-proof?
Monte Carlo Raises $135 Million to Grow Data Observability Biz
More Data Engineers Crave FAANG Jobs
What devops needs to know about data governance
Deciphering the Observability Market
Monte Carlo plans to scale data observability platform
How The Hottest VC-Backed Cloud Data Companies Are Prepping For The Funding Winter
Data Engineers Spend Two Days Per Week Fixing Bad Data
How to Build a Modern Data Infrastructure Using a Lakehouse
Data Quality Startup Monte Carlo Is A Unicorn After Fourth Funding Round In Two Years
Monte Carlo Announces Keynote Speakers for IMPACT Summit
Monte Carlo Survey Finds Data Engineers Spend 40% of Their Workday on Bad Data
Monte Carlo named CRN 2021 Tech Innovator in Big Data
Monte Carlo launches ‘Insights’ for operational analytics
Monte Carlo boosts pipeline observability with insights
The State of MLOps in 2021
Monte Carlo closes $60M Series C on the back of rapid ARR growth
Data observability startup Monte Carlo raises $60 million
Monte Carlo raised another $60 million
Data Observability tech startup Monte Carlo raises $60M
Monte Carlo nabs $60 million in Series C funding for data reliability tool
Monte Carlo raises $60M to advance data observability
31 data and analytics startups that will go big this year
Monte Carlo’s Barr Moses will join us at TC Sessions: SaaS 2021
Announcing the 3rd Annual Enterprise Tech 30
The Grand Vision and Present Reality of DataOps
Monte Carlo Incident IQ looks to improve data observability
Inc. Best Places to Work: Monte Carlo
CRN Emerging Vendors 2021: Monte Carlo
Why Most Data Platforms Fail (And How You Can Succeed)
Data Quality, Data Trust and Preventing Data Downtime with Barr Moses
Monte Carlo Launches Chief Data Officer Advisory Board
Why Data Observability Matters: Monte Carlo CEO Moses Explains
Monte Carlo raises $25M Series B for its data observability service
Monte Carlo raises $25 million for AI that monitors data reliability
Monte Carlo gets new funding to expand data observability
Managing Data Downtime: How to apply observability to your data pipelines
Data Observability with Barr Moses and Lior Gavish
Data Catalogs Are Dead; Long Live Data Discovery
Opinion: Data Governance is broken
Monte Carlo launches Data Observability Platform, aims to solve for bad data
Monte Carlo releases Data Observability Platform
Meet the Israeli spouses whose startup just raised $16 million to fix companies’ inaccurate data
Monte Carlo raises $16 million in Series A funding
VCs say that these 29 companies are the top startups in the booming big data industry
Launching the Data Reliability category with Monte Carlo
The 5 important trends in data, and the one megatrend powering them all
Category creators: building companies that redefine markets
Join the Data Observability movement.
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