Monte Carlo

Overview

Monte Carlo is a technology company based in San Francisco, California, specializing in end-to-end Data and AI Observability. Founded in 2019, the company aims to enhance the reliability and trustworthiness of data pipelines and AI systems. Serving over 400 enterprise customers, Monte Carlo monitors more than 10 million data tables and addresses around 1,000 data incidents daily.

The company offers a comprehensive Data + AI Observability Platform, providing visibility across the data lifecycle. Features include incident management, alerts for detecting data anomalies, machine learning-powered monitoring, and AI-driven recommendations. Quick integration with existing data environments enables organizations to scale their data observability effectively. Clients such as Fox, Pepsico, Amazon, American Airlines, and JetBlue use Monte Carlo to support data-driven decision-making and AI initiatives.

Basic Information

Contact Details

• Phone: +1 916-445-1254
• Website: montecarlodata.com
• LinkedIn: linkedin.com/company/monte-carlo-data

Key Focus Areas & Initiatives

• Software development
• Retail
• Data anomaly management
• Data pipeline
• Data monitoring
• Computer systems design and related services
• Data system performance
• Enterprise software
• Enterprise data reliability solutions
• Operational efficiency
• Data lineage visualization
• Data anomaly resolution
• Data governance
• Data quality automation solutions
• Data pipeline impact analysis
• Information technology and services
• End-to-end data observability
• Analytics
• Data pipeline troubleshooting
• Data lineage tools
• Data trust solutions
• Data management
• Data pipeline health
• Financial services
• Data anomaly detection tools
• Incident resolution
• AI-powered data anomaly detection
• Travel
• Data quality dashboards
• B2B
• Data quality assurance
• Data impact analysis
• Data system performance monitoring
• Event management
• Data quality reporting
• Data quality tools
• AI model monitoring
• Technology
• Data observability solutions
• Data pipeline health checks
• Data pipeline health monitoring
• Data health insights
• Data anomaly detection
• Machine learning
• Data pipeline performance
• Data trust
• Data profiling
• Customer experience
• Data quality assurance tools
• Data health dashboards
• Data incident response automation
• Data health
• Data pipeline impact assessment
• Anomaly detection
• Data pipeline automation
• Data reliability
• Data pipeline reliability
• Data quality analytics tools
• Data health management
• AI & ML model monitoring
• Data observability for enterprise
• Data quality monitoring
• Data observability
• Data observability for AI
• Data pipeline impact visualization
• Data quality metrics dashboards
• Enterprise data management
• Data pipeline security tools
• Data anomaly alerts
• Data quality and trust automation
• Data pipeline scaling
• Data quality automation
• Data anomaly management tools
• Data incident response
• Data analytics
• Healthcare
• AI & ML model performance monitoring
• AI & ML model monitoring in production
• AI observability
• Data governance and lineage
• Data testing
• Data anomaly detection in real-time
• Data trust at scale
• Data quality metrics visualization
• Data anomaly detection platform
• Data quality
• Incident management
• Data cost management
• Data cost optimization
• Data incident resolution
• Data anomaly management systems
• Data system performance optimization
• Data lineage and impact analysis
• Automation
• AI & ML model drift detection
• Data lineage
• Data anomaly investigation
• Data quality metrics
• Data pipeline troubleshooting tools
• Data quality and reliability
• Enterprise data reliability
• Data reliability platform
• Data anomaly investigation tools
• Data system reliability
• Data security and compliance
• Data observability integrations
• Data incident management
• Root cause analysis
• Data pipeline monitoring
• Services
• Data pipeline impact analysis tools
• Data pipeline impact
• Data security
• Data system monitoring
• Data quality analytics
• Data quality automation tools
• Data pipeline observability
• Data pipeline security
• Incident triage
• Cloud migration
• Data performance optimization
• Monitoring
• Data integration
• Data health measurement
• Self-service data
• Data product integrity
• Data mesh
• Automated alerts
• Cost management
• User notifications
• BI tool integration
• ML monitoring
• Performance SLAs
• Data incident prevention
• Alert management
• Data-driven insights
• Data asset visibility
• Automated coverage
• Pipeline efficiency
• Real-time alerts
• Custom monitoring rules
• Data consumption monitoring
• Cross-system lineage
• Critical data identification
• Insight generation
• Collaboration tools integration
• Data usage tracking
• Stakeholder trust building
• Data optimization
• Data categorization
• Data incident correlation
• Root cause identification
• Performance degradation monitoring
• Finance
• Enterprises
• Computer software
• Events services
• Artificial intelligence
• Health care
• Health, wellness & fitness
• Hospital & health care
• Computer & network security

Technologies Used

• AI
• Adobe Media Optimizer
• Amazon AWS
• Bing Ads
• Cedexis Radar
• Data Analytics
• Databricks
• DigitalOcean
• Domo
• DoubleClick
• DoubleClick Conversion
• Facebook Custom Audiences
• Facebook Login (Connect)
• Facebook Widget
• Gmail
• Google Analytics
• Google Apps
• Google Dynamic Remarketing
• Google Font API
• Google Tag Manager
• Hotjar
• Hubspot
• IoT
• Leadfeeder
• Linkedin Marketing Solutions
• LiveRamp
• Looker
• Mapbox
• Marketo
• Microsoft Office 365
• Mobile Friendly
• Nginx
• Remote
• Reviews
• Route 53
• Ruby On Rails
• Shutterstock
• Sisense
• Slack
• Snowflake
• Vimeo
• WP Engine
• WordPress.org
• YouTube
• Zendesk

Affiliated Organizations & Regional Branches