# Automate data quality coverage across your entire environment

The data estate has changed. Your data quality strategy needs to change too. Scale coverage, eliminate maintenance, and identify gaps automatically with AI-powered monitoring and testing, automated scaling, and agentic recommendations for data + AI systems.

## Reduce downtime by 80% YoY

## Sophisticated monitoring and recommendation agents to scale quickly

## End-to-end quality coverage from ingestion to consumption

## Enriched lineage and root-cause data to make alerts actionable

## Monitor what matters—and scale coverage in seconds

Your biggest hurdle for reliability? Scale. Stop wasting time on manual workflows. Create and deploy new monitors in seconds, discover the best monitors for each table, and autoscale coverage with your environment.

### Save time with automatic baseline coverage

Get instant coverage out of the box for common issues like freshness, volume, and schema powered by AI.

### Give everyone the tools to own pipeline health

- Understand what matters at-a-glance—and how to improve it
- Leverage AI monitor creation to define and deploy the right coverage faster
- Work your way—with SQL, inside our codeless UI, or with our observability agents

### Unify coverage to eradicate silos

- Monitor across tables, systems, environments and beyond
- Get everyone on the same page about where the issues are—and how to solve them
- Eliminate syncing issues to keep products performing

### Agentic where it counts

- AI-powered data quality rules and templates and automatic data profiling
- Monitoring for structured and unstructured data

## Monitoring a Data Product

### Prompt our monitoring agent to get the right coverage in minutes

Data + AI teams lose hundreds of hours each year defining and deploying monitoring strategies. With the monitoring agent, anyone in your organization can discover and deploy the right monitors in minutes.

### Send the right alert, to the right person, at the right time

Alert fatigue? Maximize engagement and minimize noise with granular routing, automated lineage grouping, and root-cause insights that make it easy for owners to triage and resolve.

### Easily deploy monitors and activate workflows

Deploy monitors however you like to work—during CI/CD with YAML based configurations, through intuitive point-and-click UI, or programmatically with AI-powered creation.

### Monitor at the source in Salesforce & Data Cloud

Whether you’re managing sales performance, personalizing customer journeys, or deploying LLM agents through Agentforce, Monte Carlo empowers data and AI teams to —

- Reduce fire drills with automated monitoring, and accelerate root cause analysis
- Detect data quality issues at the source before they reach the warehouse
- Deliver trusted Customer 360 profiles for accurate, AI-ready insights
- Bridge data, revenue operations, and marketing workflows with a single view into pipeline health and data quality

## What our customers say

Monte Carlo is the only solution battle-tested in 100s of production environments

> “Monte Carlo helps you pinpoint any bottlenecks in your pipeline and streamline the effort to reduce technical debt where it’s needed most.

 Monte Carlo helps you maintain a high performance of your pipeline, quickly address emerging issues, and reduce cost consumption.”

> “Monte Carlo gives upstream and downstream lineage for a 40,000-foot view of the entire data ecosystem — and this helps stakeholders across the company truly run.”

> “In the past, we might have to backfill six months of data to when the issue started. But if we can detect an issue in a day, then a one-day backfill can be a lot cheaper. There are lots of benefits, like engineering time, that we’re seeing from data observability.”

> “We have 10% of the incidents we had a year ago.”

> “Data observability has become a necessity, not a luxury, for us. As the business has become more and more data-driven, nothing is worse than allowing leadership to make a decision based upon data that you don’t have trust in. That has tremendous costs and repercussions.”

> “Data trust is a human emotion, which isn’t always entirely rational. But, if you can give the analysts access to Monte Carlo where they can see the health of all the data objects they are using, you can sell them on the data’s quality.”

## Unstructured Data Monitoring Now Available

- AI-powered checks now available for unstructured fields.
- Ability to monitor for metric quality with just a few clicks.
- Support for unstructured file types in Snowflake, Databricks, and BigQuery.

## Get started fast—scale faster.

Fast setup—even faster time to value. Connect to Monte Carlo in seconds, start monitoring out of the box and automatically scale with your environment.