# Myriade — AI Data Quality Monitoring

> Continuous AI data quality monitoring and anomaly detection that understands business context, prioritizes fixes, and proposes repairs — with no rules or YAML configs.

## What it is

An AI Quality Agent that monitors your warehouse continuously: detects anomalies, freshness issues, completeness gaps, and consistency breaks. Unlike rule-based tools (Monte Carlo, Bigeye), Myriade understands business context and proposes prioritized fixes — not just alerts.

## Key capabilities

- Continuous anomaly detection (statistical + contextual)
- Freshness, completeness, consistency checks
- Proactive Slack and email alerts before issues reach dashboards
- Context-aware fix suggestions (dbt PRs, SQL corrections)
- No rules to write, no YAML to maintain
- Complements Monte Carlo, Bigeye, dbt tests

## Time saved

- 5–10 hours per week on data quality firefighting
- 1–2 hours per incident on writing dbt fixes (auto-generated)
- 50–70% reduction in dashboard trust issues

## Who it's for

- Data Platform teams tired of rule-writing
- Analytics Engineers maintaining dbt tests
- BI teams whose dashboards break silently

## How it works

1. Connect your warehouse read-only.
2. The Quality Agent learns your business context and table patterns.
3. It detects anomalies, prioritizes by business impact, and proposes fixes.
4. Alerts via Slack/email. Fix suggestions as dbt pull requests.

## Integrations

Alerts via Slack, Microsoft Teams, email. Fix suggestions integrated with dbt and GitHub.

## Security

- Read-only access, data samples only
- Zero data retention with LLM providers
- Automatic masking of sensitive fields
- Self-hosted or VPC on Business and Enterprise

## Links

- Product page: https://www.myriade.ai/quality-control
- vs Monte Carlo: https://www.myriade.ai/vs/monte-carlo
- Pricing: https://www.myriade.ai/pricing
- Global llms.txt: https://www.myriade.ai/llms.txt