# Monte Carlo

> Monte Carlo is the data and AI observability company that pioneered the 'data observability' category. Its platform helps enterprises detect, resolve, and prevent data and AI quality issues - what the company calls 'data downtime' - by monitoring data pipelines end to end, mapping lineage, surfacing anomalies, and tracing root causes. Founded in 2019 by Barr Moses and Lior Gavish, Monte Carlo serves 400+ enterprises including PepsiCo, Cisco, Nasdaq, and Comcast, and has raised $236M at a valuation of roughly $1.6B.

- **Founded:** 2019
- **Headquarters:** San Francisco, United States
- **Founders:** Barr Moses (Co-Founder & CEO), Lior Gavish (Co-Founder & CTO)
- **Team size:** ~490-550 employees
- **Products:** Data Observability Platform, Data Quality Monitors, Lineage & Impact Analysis, Incident Resolution, AI & Agent Observability
- **Notable:** Coined and built the 'data observability' product category, Named to CNBC's Top Startups for the Enterprise (2022), G2's #1 Data Observability platform for 8+ consecutive quarters

## Products & services

- **Data Observability Platform** — End-to-end monitoring of data pipelines across warehouses, lakes, ETL, and BI tools, automatically detecting freshness, volume, schema, and quality anomalies.
- **Data Quality Monitors** — ML-based and custom monitors that provide out-of-the-box coverage without manual threshold-setting, plus one-click monitor recommendations driven by data profiling.
- **Lineage & Impact Analysis** — Automated, column-level and cross-system lineage that shows where issues originate and which downstream reports, models, and stakeholders are affected.
- **Incident Resolution** — Alerting, triage, and root-cause workflows integrated with Slack, PagerDuty, and other tools to resolve data incidents fast.
- **AI & Agent Observability** — Monitoring, troubleshooting, and operations agents that extend observability to AI/LLM systems and agents running in production.

## Achievements

- Coined and built the 'data observability' product category
- Named to CNBC's Top Startups for the Enterprise (2022)
- G2's #1 Data Observability platform for 8+ consecutive quarters
- Co-authored the O'Reilly book on data quality with Lior Gavish
- First vendor to unify observability across data and AI stacks with Agent Observability

## Latest updates

- **2024-08** — Launched the Trusted Data for AI (TDAI) Advisory Council with members from PepsiCo, BP, and Credit Karma.
- **2025** — Launched Agent Observability, becoming the first vendor to unify data and AI observability in one platform.
- **2025** — Recognized as G2's #1 Data Observability platform for the 8th consecutive quarter.
- **2025** — Published data quality statistics from monitoring 11M+ tables; introduced EU hosting for data residency.

## Links

- Website: https://www.montecarlodata.com
- LinkedIn: http://www.linkedin.com/company/monte-carlo-data
- Twitter/X: https://twitter.com/montecarlodata
- YouTube: https://www.youtube.com/@montecarlodata
- Facebook: https://www.facebook.com/montecarlodata/

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Profile page: https://yespress.io/monte-carlo
Published by YesPress — https://yespress.io
Last updated: 2026-06-13