Summary
Data and AI observability platform now positioning as an agent trust platform for production AI systems.
Description
Monte Carlo monitors data pipelines, models, prompts, context, outputs, and production agents to help teams detect, troubleshoot, and remediate data and AI reliability issues.
Positioning
Agent trust platform for data and AI observability
Key facts
- HQ location
- San Francisco, CA, USA
- Founded
- 2019
- Employee range
- 201-500
- Funding stage
- Series C Plus
- Company type
- Private
- Pricing model
- Custom Quote Subscription (Enterprise subscription / quote-based)
- Last updated
Financials
- Revenue estimate
- Unknown
- Valuation estimate
- $1.6B valuation at May 2022 Series D; current third-party estimates vary
- Investments
- $236M total funding after $135M Series D in May 2022
Relationships
- Target customers
- Data engineering, analytics engineering, AI/ML, platform, governance, and reliability teams
- Key competitors
- Coralogix, Datadog, Bigeye, Acceldata, WhyLabs, Arize AI, Soda, Fiddler AI
- Known customers
- NASDAQ, Honeywell, Roche and hundreds of enterprise data teams publicly referenced
Classification (raw research text)
- Core focus
- Data, AI and agent observability
- Core industry
- Data Observability / AI Reliability
- Core category
- Data + AI observability platform
Shown verbatim from the research spreadsheet — deriving structured industry tags from this text is a future phase.
Segments, Industries & Certifications
- Segments