SYNQ Data

SYNQ is a data observability platform designed to help businesses proactively identify and resolve data quality issues. It leverages an AI agent named Scout to monitor, analyze, and debug data problems, even generating code suggestions for fixes. The platform integrates with popular data transformation tools like dbt and SQLMesh, understanding models, dependencies, and transformations rather than just tables. SYNQ provides comprehensive monitoring and testing capabilities, allowing users to combine dbt tests, SQLMesh audits, and anomaly monitoring to catch issues early. It also focuses on data product definition, ownership, and alerting, ensuring that critical data issues are quickly assigned and resolved. The platform includes robust root-cause analysis with lineage tracking and incident management features to streamline the resolution process. SYNQ MCP (Multi-Context Processor) extends the platform's capabilities by integrating data observability directly into development and discovery workflows through AI assistants like Cursor, Claude, or OpenAI. This allows users to assess downstream impact before pushing to production, identify untested tables, pinpoint root causes, and even generate test recommendations and code fixes using natural language, making data quality accessible and actionable for data practitioners.