Put your data work on autopilot

Mage runs production workflows and automatically keeps results valid, fixes issues, and continuously optimizes performance.

Samsung
IBM
JPMorgan Chase
Nokia
Stability AI
Comcast
Ion Solar
Nursa
Avanza

Create workflows, ask questions about your data, build charts, and give agents reliable context

Describe an outcome and let AI create a recurring workflow with code and tests.

Mage validates outcomes, fixes issues, verifies the recovery, and optimizes execution as your data and systems change

Vendor feedRecovered automatically
Write to BigQuery
Source schema changedSafe fix applied

Affected steps replayed · Checks passed

Business uptime without being on call 24/7
Self-healing pipelines diagnose failures, apply safe fixes, and recover automatically.

Only write accounts with valid domains
41records written
2invalid domains blocked

Output rules verified

Results you can keep counting on
Automated data validation continuously checks your data and keeps your pipelines producing the results you expect.

Pipeline optimizationCalculate order totals
Replaced row-by-row processing
Before
df["total"] = df.apply(
    lambda row: row["price"] * row["quantity"],
    axis=1,
)

Scale your data operations without slowing down
Mage identifies bottlenecks and automatically optimizes code and execution to keep your pipelines fast as your data grows.

Explore the platform

Use cases

Data solutions that do more of the work for you

Power everyday operations and new applications with self-maintaining workflows and trusted data ready to reuse.

Automate data engineering across your systems

Process vendor feeds and keep systems in sync with workflows that adapt automatically as your business evolves.

Explore automation

Modernize the data models your business runs on

Turn legacy SQL and spreadsheet logic into self-maintaining data models that stay accurate as schemas change.

Explore data modeling

Make your data reusable across AI use cases

Give agents trusted, up-to-date context automatically assembled from your business data and tailored to each task.

Explore AI-ready data

Built to fit your existing stack

Connect your sources and run your business logic in workflows that deliver trusted results to your tools, applications, and agents.

Step 1

Connect your existing sources
Connect databases, warehouses, files, and APIs with built-in or custom connectors.

Step 2

Run your existing logic
Combine SQL, Python, and dbt in workflows that manage schedules and dependencies for you.

Step 3

Deliver to the tools you use
Write to your warehouse, update business apps, and power dashboards and agents.

Enterprise-ready on your terms

Choose where your workflows run, control access and production changes, and get expert support from implementation through ongoing operation.

Flexible deployment

Run where your data needs to stay

Choose cloud, hybrid, private cloud, or on-premises deployment to match your infrastructure and security requirements.

Enterprise controls

Keep access and releases under your control

Give teams isolated workspaces, set permissions by role, and review changes before they reach production.

Expert support

Get hands-on help before and after launch

Work with experts to plan your architecture, migrate pipelines, and resolve production issues with priority support.

Explore enterprise

What will you put Mage in charge of?

Keep customer dashboards current and trustworthy.

Prepare validated context for our product agent.

Keep Stripe and Salesforce in sync every hour.

Rank the accounts that need attention each week.

Repair failed workflows before downstream teams notice.

Turn incoming vendor files into a governed dataset.