Monte Carlo
Data downtime analysis
- B2B
- AI-native
About Monte Carlo
The company specializes in reducing downtime through data analysis and optimization
Key facts
- Industry
- Software Development
- Company size
- 251–1,000 employees
- Headquarters
- san francisco, california, United States
- Founded
- 2019
- Revenue
- $24.3M – $129MTamtam estimate
- Website
- montecarlo.ai
Monte Carlo in the news
- The Monte Carlo Agent Trust Platform: Can Data Lineage Make AI Agents More Reliable for CX?
Monte Carlo's Agent Trust Platform unifies data and agent observability to enhance AI agent reliability in customer experience by linking agent behavior to underlying data issues.
- Monte Carlo Appoints Nik Acheson Chief AI Officer
Monte Carlo appointed Nik Acheson as Chief AI Officer to advance its AI strategy and enhance the reliability of autonomous AI agents.
- Monte Carlo Appoints Nik Acheson as Chief AI Officer
Monte Carlo named Nik Acheson as Chief AI Officer to lead its expansion into agent trust and help enterprises operationalize trustworthy AI.
- Monte Carlo Appoints Nik Acheson as Chief AI Officer
Monte Carlo appoints Nik Acheson as Chief AI Officer to lead its expansion in agent trust and AI systems for enterprises.
- Monte Carlo Integrates with Databricks Agent Bricks for Observability
Monte Carlo added observability features for Databricks Agent Bricks to help teams identify whether AI agent failures stem from data, pipeline, or model issues.
Monte Carlo at a glance
Monte Carlo is a B2B company in the Software Development industry, headquartered in san francisco, california, United States.
Monte Carlo was founded in 2019.
Monte Carlo has 251–1,000 employees.
Monte Carlo's revenue is $24.3M – $129M (Tamtam estimate).
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