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AI that builds data pipelines like the best data engineer.

AI agents for analysts to build production-grade data pipelines.

Trusted by 100+ Companies Worldwide

Ramp
Ford
Xpressbees
PwC
ElevenLabs
BlackRock
TIME TO PIPELINE DEPLOYMENT
10xx
PRODUCTION INCIDENTS
99%%
WAREHOUSE COSTS
30%%
NO VENDOR-LOCKIN
Data Layer

Code you own, quality you trust

AI-generated pipelines

Connectors, transformations, and write strategies as code in your repo.

Auto-enforced standards

Naming conventions, medallion architecture, and schema evolution built in.

Built-in data quality

Validation tests and anomaly detection on every change.

Data Modeling & Standards

AI enforces naming conventions, medallion architecture, and schema evolution automatically. Every table follows best practices without you thinking about it.

AI Code Engine

The fastest way to code data pipelines.

Data Ingestion Layer

Data Modeling & Standards

AI enforces naming conventions, medallion architecture, and schema evolution automatically. Every table follows best practices without you thinking about it.

Testing & Data Quality

Data Governance Portal

Contribution Rules & Guidelines

Define requirements for data analysts submitting queries through the portal

3
At least 3 test cases required per model
#1All SQL queries must include data quality tests
#2Test cases should cover edge cases and data validation
#3Column descriptions are required for all new columns
Platform Layer

Pipelines that run themselves

AI-built orchestration

DAGs with dependencies and retry logic, no Airflow expertise needed.

Smart compute routing

Jobs run on right-sized clusters that auto-scale and shut down to optimize cost.

Observability included

Alerts, SLA tracking, and cost tags built into every pipeline.

Compute Optimizer
Zingle AI
Smart Router
Snowflake
Snowflake XSSmall tasks
BigQuery
BigQuery FlexStandard load
Spark
Spark ClusterHeavy transform

Compute/Execution Environment

AI routes each job to the right compute based on data size and cost. Clusters spin up, run, and shut down. You pay only for what you use.

AI Smart Router

The optimal way to run pipelines on your infrastructure.

Orchestration & Scheduling

Compute/Execution Environment

AI routes each job to the right compute based on data size and cost. Clusters spin up, run, and shut down. You pay only for what you use.

Monitoring & Observability

User & Access Layer

Safe self-service

Plain-language access control

Define rules naturally, AI converts them to RBAC policies and audit logs.

Self-service meets standards

Visual dashboards, one-click deploys, full Git history for every pipeline.

Auto-documented and compliant

AI writes docs, tags PII, and flags sensitive data. GDPR and CCPA ready from day one.

Reviewing Pull Requests

Every pipeline AI creates shows up as a PR in your repo. Review it, test it, approve it. Your workflow, your control.

G
AI Control Center

Self-service for analysts, full control for engineering.

User Interface

Reviewing Pull Requests

Every pipeline AI creates shows up as a PR in your repo. Review it, test it, approve it. Your workflow, your control.

Documentation & PII Tagging

Access Control & Governance

Pull Request Review
Open

Add customer subscription health analytics models #20

john wants to merge 1 commit into master
Z
zingleai botcommented last week

Zingle AI PR Review

1. Summary

This PR introduces the mart_customer_health gold model.

2. Impact Analysis

  • Adds 1 new table to production
  • Downstream dependencies: 0 (Safe to merge)
All checks passed
1 successful check
Customer Spotlight

See how enterprises ship faster with Zingle

Customer Support Success
Pipeline Reliability
99.9%
SUCCESS STORY

How Fortune 500 companies empowered analysts to build production-ready pipelines

Head of Analytics
Head of Analytics
Subscription E-commerce

"Every pipeline Zingle generates looks like our senior engineer wrote it. Clean, governed, incremental where needed, and cost-aware."

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AI that builds pipelines like your best data engineer. No vendor lock-in, faster deployments, lower warehouse costs, and zero production incidents.

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