Cut warehouse costs & data issues by 50%

AI Code Reviews for Data teams who moves fast (without breaking things)

50%
2X
1/2
Cut on data platform bills
Increase data engineers speed
Cut in production incidences
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Trusted by 100+ Companies Worldwide

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[FEATURES]

Built for Data Teams Who Ship Fast & Smart

Second pair of eyes for data teams
[SECOND PAIR OF EYES]

Second pair of eyes for data teams

Zingle AI automatically reviews PRs in GitHub and Gitlab with full context of your codebase.

Second pair of eyes for data teams
Know Cost of Each Code Change
[COST VISIBILITY]

Know Cost of Each Code Change

Never get surprised by your Snowflake or Databricks bill again.

Know Cost of Each Code Change
Best Data Engineering Practices
[CUSTOM CONTEXT]

Best Data Engineering Practices

SQL Optimisation, incremental vs. full refresh, materializations - list goes on.

Best Data Engineering Practices
Impact on Existing dashboards/models
[CUSTOM CONTEXT]

Impact on Existing dashboards/models

Automatic summary of possible effect on downstream dashboards, models, or metrics from code changes.

Impact on Existing dashboards/models
Auto-Generated Data Quality Tests
[CUSTOM CONTEXT]

Auto-Generated Data Quality Tests

Recommends and inserts the right data quality tests automatically.

Auto-Generated Data Quality Tests
Enforced governance
[CUSTOM CONTEXT]

Enforced governance

Mandatory documentation of each column, avoiding similar column names / metrics names etc.

Enforced governance
[HOW IT WORKS]

Context-aware comments on your PRs

[IN-LINE COMMENTS & SUGGESTION] icon
[IN-LINE COMMENTS & SUGGESTION]

End to End pipeline aware comments on your code changes

Recommends and inserts the right data quality tests automatically.

[CUSTOM CONTEXT] icon
[CUSTOM CONTEXT]

Auto-Generated Data Quality Tests

Recommends and inserts the right data quality tests automatically. Recommends and inserts the right data quality tests automatically.

[PR SUMMARIES] icon
[PR SUMMARIES]

Understand the real impact of every change

Get downstream impact charts, detail cost breakdown analysis, and future data issue analysis for every PR.

[FEEDBACK] icon
[FEEDBACK]

Continuous Learning

As you use Zingle AI, it infers your coding standard for writing data pipelines and data architecture choices

[ZINGLE IN ACTION]

Real Performance Gains- See the before-vs-after impact when teams use Zingle

Chat with founders
[TESTIMONIAL]

Success Stories from Zingle Users

“Zingle AI has an incredible sense for where a developer takes the easy path instead of the right path — especially around cost and maintainability. It's tightened our feedback loops and freed senior data engineers to focus on new integrations instead of review firefights.”

- Mark, Head of Data

“Zingle is like a mentor for junior data engineers — it teaches best practices in real time and scales their judgment to senior level.”

- Tomas, Head of Data Engineering

“Having peace of mind that my changes would not break existing pipelines or cause inefficiencies — that’s huge. Zingle lets us ship fast, knowing everything stays optimized.”

- Monjoy, Principal Data Architect

“Zingle immediately cut our review time in half. Analysts can now safely make small pipeline updates themselves without waiting on senior engineers.”

- Dustin, Chief Technology Officer