Data Quality on Autopilot

SYNQ is a data observability platform that helps you catch and resolve data quality issues before they impact your business - powered by Scout, a data quality AI agent that debugs issues, recommend tests, and resolves problems directly in code.

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Trusted by data-forward businesses

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Data Observability Built Around Data Products

Monitoring & Testing
Ownership & Alerting
Data Products
Root-Cause Analysis
Incident Management
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Monitoring & Testing

Add and configure monitors easily. Combine your dbt tests and SQLMesh audits with anomaly monitoring to catch issues before they create incidents.

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Ownership & Alerting

Connect ownership to action. Map the responsibility for critical data to the right stakeholder, ensuring issues are seen, owned and resolved fast.

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Data Products

Define your most important use cases as data products to get full visibility into your most critical data.

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Monitoring & Testing
Ownership & Alerting
Root-Cause Analysis & Lineage
Incident Management
Incident Alert Example

Root-Cause Analysis & Lineage

Reduce time to resolution of data issues and incidents through relevant insights into all your data assets — from code changes to log-level execution details.

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Incident Management

Detect issues, manage incidents and triage issues with confidence. From alerts to resolution, everything you need to fix data issues quickly and minimize the impact to the business.

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Incident Alert Example

Meet Scout.

The Data Quality AI Agent.

Your autonomous, always-on data quality agent that’s proactively monitoring, analysing, and resolving data quality issues on your behalf.

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Built for Data Practitioners

DBT & SQLMesh

dbt Core & Cloud

Complement your dbt tests with anomaly monitors, unify incident management and get end-to-end column-code lineage for both core and cloud.

SYNQ & dbt

SQLMesh

Observability for data transformations focused on accurate and efficient data pipelines for transformation, testing, and collaboration.

SQL Mesh

Trusted by the Best. Built for Excellence

Find out why data-centric organisations trust their data to SYNQ. Read some customer success stories →

Aiven customer story
Lunar customer story
Typeform customer story
Dext customer story
Instabee customer story

Our customers love us

4.8

"We chose SYNQ as our end-end data observability platform due to the capabilities to proactively catch issues with a powerful anomaly detection engine, and the issue resolution & ownership workflow tightly integrated with dbt."

Customer Picture
Paul Flynn
Head of BI - Instabee

"SYNQ helps us unify errors from all our systems into one place to easily see if issues originate from Redshift or BigQuery, who its owner is, potential root causes, and the downstream impact."

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Weiting Xu
Director of Data - Cazoo

"We now catch issues proactively – the relevant teams outside the data team are responsible for fixing breaking changes caused by data from systems they own. This frees up the data team and reduces the time to resolution."

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Rupert
Data Lead - LendInvest

Integrate with the tools in your stack

The best data teams integrate with the best tools. See all our integrations →

Product Tour

SYNQ Latest

Sep 1, 2025

August updates from SYNQ

What's new in SYNQ
Aug 26, 2025

When is the right time to invest in Data Observability?

Wondering when to adopt a data observability tool? Learn the key checkpoints that signal the right time, see real-world examples from companies like Instabee, LendInvest, and Dext, and understand how observability builds trust, reduces firefighting, and ensures reliable insights at scale.”
When is the right time to invest in Data Observability?
Aug 26, 2025

Hands-on with an MCP for data quality

How SYNQ's MCP, combined with the right metadata and context, can supercharge data quality workflows
Hands-on with an MCP for data quality

5 million

Runs monitored every day

1 billion+

Logs managed to date

500k+

Tables, models and tests seen to date

Build with data you can depend on

Join the data teams delivering business-critical impact with SYNQ.

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