# Data + AI Observability for Snowflake

Monte Carlo’s Data + AI Observability Platform gives your team full visibility into the health of your AI systems — from data input to agent output — natively on Snowflake’s AI Data Cloud.

## Partnership

### Validated at every level of the Snowflake ecosystem

The highest tiers of technical validation and partner recognition from Snowflake — so your team can buy and deploy with confidence.

### Elite Technology Partner

The highest tier in the Snowflake Partner Network, recognizing technical depth and joint customer success.

### Snowflake Ready Technology

Officially validated for performance, security, and reliability on the AI Data Cloud.

### Snowflake Intelligence Partner

The #1 observability platform for Snowflake AI agents — natively integrated with Snowflake Intelligence, Cortex, and CoCo.

### Available on Snowflake Marketplace

Procure directly through Snowflake Marketplace — counts toward committed spend and simplifies procurement.

### Cortex Agent Observability Partner

First Data + AI Observability platform with native monitoring for Snowflake Cortex AI agents.

### Industry Competency Badges

Recognized across Financial Services, Healthcare, Retail, Media, and Technology for verified customer success.

## Capabilities

### Observability at every layer of your stack

Monte Carlo covers the full journey — from raw Snowflake data through to what your AI agents produce.

#### Data layer

- **Data observability:** Automated monitoring across every Snowflake table, schema, and pipeline.
- **Automated anomaly detection:** ML-powered monitors learn your data patterns and flag deviations in volume, freshness, schema, and distributions — no thresholds needed.
- **End-to-end lineage:** Column-level lineage from ingestion through dbt to every downstream BI tool and AI model — zero instrumentation required.
- **Custom SQL monitors:** Define business logic rules on any Snowflake table. Runs on your compute — no data leaves your environment.
- **Impact analysis:** When a table breaks, instantly see every downstream consumer — dashboards, AI models, Cortex agents — before you remediate.

#### Agent layer

- **AI agent reliability:** Input validation and context reliability for Snowflake Cortex agents.
- **Pre-flight data validation:** Monitor the Snowflake tables your Cortex agents retrieve from. Catch stale or anomalous data before it reaches the agent context window.
- **Context reliability scoring:** Score the quality and freshness of every data input to your agents — always know if an agent is reasoning on data you can trust.
- **Cortex & CoCo integration:** Native integration with Snowflake Cortex Agents and Cortex Code — no additional instrumentation for full pipeline visibility.
- **Snowflake Intelligence monitoring:** As a Snowflake Intelligence partner, Monte Carlo surfaces data health signals directly within the Intelligence layer.

#### Output layer

- **AI output observability:** Monitor what agents produce and trace failures back to root cause.
- **Agent output monitoring:** Track what your Cortex agents produce over time — detecting drift, degradation, or unexpected behavior before it reaches customers.
- **Root cause tracing:** When an agent misbehaves, trace the failure back through the full stack to the specific Snowflake table or pipeline that caused it.
- **Incident routing:** Route AI-related incidents to the right owner instantly — with Slack, PagerDuty, and Jira integrations and automatic blast radius scoping.
- **SLA & reliability tracking:** Set reliability targets for your AI systems. Track data SLAs, agent uptime, and input quality trends over time.

## Agent Observability

If the data is wrong, the agent is wrong.

Monte Carlo is the first observability platform built to monitor the full Cortex agent loop — from data input through agent output — so your team catches failures before customers do.

- Discover all Cortex Agents in a single click — no instrumentation
- Monitor data quality before agents consume it
- Trace every agent decision back to its Snowflake source
- Works natively with Snowflake Intelligence, Cortex, and CoCo
- Available directly on Snowflake Marketplace

### Customer Stories

#### How Axios Is Delivering Reliable AI with Agent Observability

##### The Challenge:
Axios needed to monitor across their data + AI lifecycle including agent context, performance, behavior, and outputs.

##### The Solution:
Leveraged Agent Observability for full agent visibility integrated into a robust incident management workflow.

#### How JetBlue Improved Internal “Data NPS” By 16 Points YoY

##### The Challenge:
When a data migration improved data usage, increased access brought increased scrutiny. And the trustworthiness of the data took center stage.

##### The Solution:
Operationalizing data + AI observability and leveraging Monte Carlo's in-app features to measure the outcomes.

#### Nasdaq's Journey to Reliability with Monte Carlo

##### The Challenge:
Nasdaq generates 6,000 reports per day across 35 services and 2,200 users. The question is—how do you make that much data reliable?

##### The Solution:
The team deployed Monte Carlo to monitor its entire data lake via a multi-step deployment.

### Ready to trust your Snowflake data and AI?
Join 300+ Snowflake customers using Monte Carlo to eliminate data downtime and build reliable AI.