Monte Carlo
Trust your Agents in Production
San Francisco, United States · Founded 2019 · $371.0M raised
- Headquarters
- San Francisco, California
- Employees
- 201–500
- Founded
- 2019
- Business Model
- B2B
- Website
- montecarlo.ai
- Total Funding
- $371.0M
- Last Round
- $135.0M Series EOct 2025
- Rounds
- 5
Totals include recorded grants and other qualifying funding, not just equity. What counts toward funding.
Indexed holds 5 funding rounds and 6 investors for this company. The full record is or through the API.
About
Monte Carlo is the data and AI observability platform that helps enterprise teams find and fix bad data fast. The platform uses machine learning to monitor data pipelines end-to-end — from data inputs through to AI agent outputs — detecting anomalies, tracing lineage, and alerting owners before downstream consumers are impacted. Monte Carlo integrates natively with the modern data stack including Snowflake, Databricks, dbt, BigQuery, and Looker, providing freshness, volume, schema, distribution, and lineage monitoring without manual rule-writing. Its Observability Agents automate root-cause analysis and incident triage, reducing mean time to resolution for data reliability incidents. Used by data teams at Nasdaq, JetBlue, Intuit, Fox, and Comcast.
Summary
Monte Carlo is an Artificial Intelligence company based in San Francisco, United States, founded in 2019. It has raised $371.0M in total across 5 rounds, most recently a $135.0M Series E round in Oct 2025. Investors include Accel, ICONIQ Capital and IVP.
Tech & App Stack
9 technologies & apps tracked
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Funding History
Oct 2025
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Funding: Series A through Series E. Amounts, valuations, and investors where available.
Investors
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