Monte Carlo
Research Team Data
Published
Agent trust platform for data and AI observability
Company profile
Overview
Data and AI observability platform now positioning as an agent trust platform for production AI systems.
Monte Carlo monitors data pipelines, models, prompts, context, outputs, and production agents to help teams detect, troubleshoot, and remediate data and AI reliability issues.
At a glance
Key facts
- HQ location
- San Francisco, CA, USA
- Founded
- 2019
- Employee range
- 201-500
- Funding stage
- Series C Plus
- Company type
- Private
- Last updated
- Pricing model
- Custom QuoteSubscriptionEnterprise subscription / quote-based
Business context
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
Market context
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
Source context
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.
Market taxonomy
Segments, Industries & Certifications
Segments
AI WorkflowsAI Developer ToolsKnowledge & RAGAI Quality & ObservabilityTraditional MLAI Governance & RiskAnalytics & BI