> ## Documentation Index
> Fetch the complete documentation index at: https://docs.synq.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Scout overview

> Autonomous AI-powered data quality agent that proactively monitors and resolves data issues

Scout is an autonomous AI-powered data quality agent that helps you proactively monitor, analyze, and resolve data quality issues across your data infrastructure. Scout acts as your intelligent data engineer, automatically identifying problems, recommending solutions, and implementing fixes to maintain high data quality standards.

*3-minute introduction to Scout by our CEO*

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## Core Capabilities

<CardGroup cols={2}>
  <Card title="Automated Data Testing" icon="robot">
    Intelligent test recommendations based on data lineage analysis. Deploys fine-tuned tests automatically as pull requests with seamless dbt, SQLMesh, and Coalesce Transform integration.
  </Card>

  <Card title="Advanced Issue Triage" icon="filter">
    Automated prioritization and noise filtering. Provides actionable insights with historical analysis to improve future recommendations.
  </Card>
</CardGroup>

<CardGroup cols={2}>
  <Card title="Autonomous Resolution" icon="wrench">
    Generates ready-to-ship code suggestions and automatically resolves pipeline issues with advanced diagnostic capabilities.
  </Card>

  <Card title="Self-Learning Intelligence" icon="brain">
    Learns from your data patterns, historical issues, and business context to provide increasingly relevant recommendations.
  </Card>
</CardGroup>

## Deployment Options

Scout is designed to fit your organization's security and infrastructure requirements:

<CardGroup cols={2}>
  <Card title="Managed Mode" icon="cloud">
    Fully hosted by Coalesce Quality with automatic updates. SOC2 and GDPR compliant with enterprise security.
  </Card>

  <Card title="On-Premise Mode" icon="server">
    Deploy in your Kubernetes cluster with full control. Bring your own LLM via an OpenAI-compatible API.
  </Card>
</CardGroup>

See [Setting up and configuring Scout](/scout/setting-up-scout) and [On-Premise Setup](/scout/on-premise) for detailed deployment instructions.

## Why Scout?

Scout transforms data quality management from reactive firefighting to proactive, intelligent monitoring:

* **Save 20% engineering time** on data quality issues
* **Reduce resolution time by 5x** with automated diagnostics
* **Catch issues proactively** before they impact business-critical systems
* **Scale testing expertise** across your entire team through AI guidance

## Security & Privacy

Scout is built with enterprise security requirements in mind:

* **SOC2 and GDPR compliant** with comprehensive data protection
* **Never uses your data** for AI model training or improvement
* **Complete privacy protection** with secure data processing
* **Enterprise-grade security** for sensitive data environments

## Getting Started

Most customers are up and running with Scout in less than 30 minutes:

1. **Connect your data stack** - Scout integrates with your existing infrastructure
2. **Let Scout learn** - Analyzes data lineage, metadata, and usage patterns
3. **Deploy intelligent tests** - Receive automated test recommendations and deployments
4. **Monitor proactively** - Benefit from automated issue triage and resolution

Contact your Coalesce Quality team to set up Scout for your data infrastructure.