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Mage

Researched

Mage is a data and AI workflow platform that builds, runs, validates, and delivers trusted data across analytics, automation, and agents, featuring an AI Sidekick, Autopilot monitoring, and governance controls.

Online Checked
Official websiteVisit website
Official site snapshots

See the official site at a glance

Read-only public captures of Mage’s homepage and verified pricing page. Screenshots are dated, never live embeds, and open full-screen.

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Homepage · captured Jul 23, 2026
1 earlier capture
Pricing page · captured Jul 23, 2026
At a glance

In one minute

Start here for the decision-making essentials: what Mage does, who it is for, how it is accessed, and the first-party sources behind this profile.

Pricing4 options

$100/month + usage

$0.50 per CPU core per hour

$0.50 per 4 GB of RAM per hour

Package discounts available for Enterprise

Platforms
Workflows PlatformWebsite and online application
API accessNot public
FoundedNot disclosed by source
AvailabilityWeb / remote
LicenseHas an open-source offering alongside a paid Pro tier

Best suited to

Source-backed fit
Businesses and developers building and operating production data workflows Teams needing AI-ready context for agents and automation Enterprises in finance, healthcare, retail, education, marketing, and energy Organizations standardizing messy data and legacy logic into reusable assets Teams requiring SOC 2 Type II certified platforms with strong governance Finance, Healthcare, Retail, Education, Marketing, Energy industries
Decision support

Common questions and adoption checks

6 sourced answers

Short answers to the questions buyers and builders commonly ask about Mage. Each answer cites the shared ledger below, where every source is listed once.

01What does Mage say it can do?

Build, run, validate, repair, and deliver trusted data across analytics, automation, and a · AI Sidekick that builds, explores, debugs, and operates across the workspace · Autopilot that monitors, validates, retries, debugs, optimizes, and recovers production wo · Turns workflow data, logic, lineage, checks, and run history into reusable AI-ready contex

Build, run, validate, repair, and deliver trusted data across analytics, automation, and agents
Ledger citations[1] mage.ai[6] mage.ai/integrations[5] mage.ai/updates/june-releases[4] mage.ai/stories/customer-analytics-insights
02Who is Mage intended for?

Finance, Healthcare, Retail, Education, Marketing, Energy industries · Unlimited users on the standard plan · Businesses and developers · Targets teams in Finance, Healthcare, Retail, Education, Marketing, and Energy industries.

INDUSTRIES Finance Healthcare Retail Education Marketing Energy
Ledger citations[1] mage.ai[2] mage.ai/pricing[9] mage.ai/blog/data-ingestion-tools-python-the-ultimate-guide[8] mage.ai/legal/privacy
03What use cases does Mage describe?

Automate work, migrate models, prepare context · Automate work, Migrate models, Prepare context · Data analysis · Stated outcomes include automating work, migrating models, and preparing context for AI sy

OUTCOMES Automate work Migrate models Prepare context
Ledger citations[1] mage.ai[9] mage.ai/blog/data-ingestion-tools-python-the-ultimate-guide[8] mage.ai/legal/privacy[6] mage.ai/integrations
04What should teams verify before adopting Mage?

Plan includes one development environment

including one development environment
Ledger citation[2] mage.ai/pricing
05What pricing information is available for Mage?

$100/month + usage · $0.50 per CPU core per hour · $0.50 per 4 GB of RAM per hour · Package discounts available for Enterprise

Start on your own $100/month + usage
Ledger citations[2] mage.ai/pricing[7] mage.ai/company/careers
06Does Mage document API access?

API key authentication supported

API key or other credentials associated with an account on the Service
Ledger citation[8] mage.ai/legal/privacy
Decision guide

Capabilities and operating fit

Data & analytics

This profile connects the jobs Mage is described as handling with its delivery model, access options and the subjects used to match it to related products in this directory.

Common use cases

  • Automate work and data workflows
  • Migrate data models
  • Prepare context for AI agents
  • Data analysis and ingestion
  • Standardize messy data and legacy logic
  • Connect warehouses, databases, SaaS apps, files, and APIs to production workflows

Access signals

Pricing model
$100/month + usage · $0.50 per CPU core per hour · $0.50 per 4 GB of RAM per hour · Package discounts available for Enterprise
API
Not publicly listed
Source links
15 recorded
Source-backed

Verified facts

Updated July 23, 2026

Each fact points to a recorded source, making it easy to distinguish verified product information from claims that need checking.

Official website

HTTP 200 verified twice

First-party description

Mage - Data and AI Workflows That Run on Autopilot

Source-supported facts

Data and AI workflow platform (Mage.ai) · Build, run, validate, repair, and deliver trusted data across analytics, automation, and a · AI Sidekick that builds, explores, debugs, and operates across the workspace

Application type

Data and AI workflow platform

Capability

Build, run, validate, repair, and deliver trusted data across analytics, automation, and agents

Capability

AI Sidekick that builds, explores, debugs, and operates across the workspace

Capability

Autopilot that monitors, validates, retries, debugs, optimizes, and recovers production workflows automatically

Capability

Turns workflow data, logic, lineage, checks, and run history into reusable AI-ready context for agents

View 32 more verified facts
Capability

Governance with visibility, permissions, approvals, and auditability

Capability

Standardizes messy data and legacy logic into clean, validated, reusable assets

Use case

Automate work, migrate models, prepare context

Audience

Finance, Healthcare, Retail, Education, Marketing, Energy industries

Integration

dbt

Platform

Enterprise-tier workflows platform with dedicated Enterprise Solutions offering

Company

Raised $12M in Series A funding

Pricing

$100/month + usage

[2]mage.ai/pricing
Pricing

$0.50 per CPU core per hour

[2]mage.ai/pricing
Pricing

$0.50 per 4 GB of RAM per hour

[2]mage.ai/pricing
Deployment

Mage cloud (fully managed) or Mage Pro in private infrastructure

[2]mage.ai/pricing
Server network

US West, US East, Canada, Europe, Asia, Australia, and more

[2]mage.ai/pricing
Deployment

Fully managed cloud services — entirely hosted and managed by Mage

[2]mage.ai/pricing
Deployment

Hybrid cloud — control plane in Mage's cloud, data plane in customer's private cloud

[2]mage.ai/pricing
Deployment

Private cloud — both control plane and data plane deployed in customer's private cloud

[2]mage.ai/pricing
Deployment

On-premises deployment available

[2]mage.ai/pricing
Limitation

Plan includes one development environment

[2]mage.ai/pricing
Audience

Unlimited users on the standard plan

[2]mage.ai/pricing
Pricing

Package discounts available for Enterprise

[2]mage.ai/pricing
Platform

Workflows Platform

[9]mage.ai/blog/data-ingestion-tools-python-the-ultimate-guide
Application type

Data ingestion tooling/platform

[9]mage.ai/blog/data-ingestion-tools-python-the-ultimate-guide
Audience

Finance, Healthcare, Retail, Education, Marketing, Energy industries

[9]mage.ai/blog/data-ingestion-tools-python-the-ultimate-guide
Use case

Automate work, Migrate models, Prepare context

[9]mage.ai/blog/data-ingestion-tools-python-the-ultimate-guide
Deployment

Enterprise Solutions offering available

[9]mage.ai/blog/data-ingestion-tools-python-the-ultimate-guide
Support

Academy and Docs resources available

[9]mage.ai/blog/data-ingestion-tools-python-the-ultimate-guide
Company

Mage Technologies, Inc.

[8]mage.ai/legal/privacy
Use case

Data analysis

[8]mage.ai/legal/privacy
Audience

Businesses and developers

[8]mage.ai/legal/privacy
Platform

Website and online application

[8]mage.ai/legal/privacy
Application type

Online application

[8]mage.ai/legal/privacy
Api

API key authentication supported

[8]mage.ai/legal/privacy
Audit

SOC 2 Type II

[8]mage.ai/legal/privacy
Practical capabilities

What it helps with

8 documented areas

A concise view of the jobs, capabilities and integrations described in the recorded product sources.

Use case

Automate work and data workflows

Use case

Migrate data models

Use case

Prepare context for AI agents

Use case

Data analysis and ingestion

Use case

Standardize messy data and legacy logic

Use case

Connect warehouses, databases, SaaS apps, files, and APIs to production workflows

Use case

Automate work, migrate models, prepare context

Use case

Data analysis

Availability

Where it runs and where to get it

Source checked

Documented product formats, platforms and official distribution destinations. Availability can vary by region and plan.

Cost / license

$100/month + usage · $0.50 per CPU core per hour · $0.50 per 4 GB of RAM per hour · Package discounts available for EnterpriseHas an open-source offering alongside a paid Pro tier

Application types

Data and AI workflow platformData ingestion tooling/platformOnline applicationFunctions as a continuous data integration and workflow orchestration tool rather than a oData & analyticsData and AI Workflow Platform

Platforms

Enterprise-tier workflows platform with dedicated Enterprise Solutions offeringWorkflows PlatformWebsite and online applicationProduction workflows platform for data integration and orchestration.

App stores and other links

GitHub
Implementation details

Adoption notes

DeploymentMage cloud (fully managed) or Mage Pro in private infrastructure · Fully managed cloud services — entirely hosted and managed by Mage · Hybrid cloud — control plane in Mage's cloud, data plane in customer's private cloud · Private cloud — both control plane and data plane deployed in customer's private cloud
LicenseHas an open-source offering alongside a paid Pro tier
Model supportNot disclosed by source
Data controlSOC 2 Type II security certification referenced · Secret management with Doppler-backed interpolation and live TTL cache · SOC 2 Type II · SOC 2 Type II compliant · Configurable authentication options including API keys or tokens for API triggers
Learning curveIntermediate
Primary use casesAutomate work and data workflows, Migrate data models, Prepare context for AI agents, Data analysis and ingestion, Standardize messy data and legacy logic, Connect warehouses, databases, SaaS apps, files, and APIs to production workflows, Automate work, migrate models, prepare context, Automate work, Migrate models, Prepare context, Data analysis, Stated outcomes include automating work, migrating models, and preparing context for AI sy, Inform product decisions, marketing, and customer engagement strategies, Identify high-value customers, Segment for marketing and retention, Deliver analytics for product strategy, Ensure consistent metrics across teams, Production data and AI workflows

What to verify before adopting

  • Plan includes one development environment
Evolution and major updates

Mage timeline

A concise history of software releases and material product changes. Events appear only when a dated source supports what changed.

Research in progress
Scheduled for research

Building a reliable release history.

This profile is being checked for dated releases and material product changes. Nothing appears here until the exact date and event can be verified from a recorded source.

Dated event Short explanation Original source
Citation ledger

Recorded sources

15 unique pages

Facts, answers, structured details, milestones and primary resource links cite this shared ledger. Each external page appears once; release tags from the same GitHub project are grouped under one release history.

  1. 1mage.ai 17 facts · 3 answers · Official site
  2. 2mage.ai/pricing 15 facts · 3 answers · Pricing
  3. 3mage.ai/platform 14 facts · Official site
  4. 4mage.ai/stories/customer-analytics-insights 12 facts · 1 answer · Official site
  5. 5mage.ai/updates/june-releases 12 facts · 1 answer · Official site
  6. 6mage.ai/integrations 10 facts · 2 answers · Official site
  7. 7mage.ai/company/careers 10 facts · 1 answer · Official site
  8. 8mage.ai/legal/privacy 8 facts · 3 answers · Security
  9. 9mage.ai/blog/data-ingestion-tools-python-the-ultimate-guide 6 facts · 2 answers · Official site
  10. 10mage.ai/blog 1 fact · Official site
  11. 11mage.ai/academy/01/5-4-api-trigger Documentation
  12. 12mage.ai/blog/ai-generated-pipeline-documentation-automatically-instantly-accurately Documentation
  13. 13mage.ai/blog/definitive-guide-to-accuracy-precision-recall-for-product-developers Documentation
  14. 14mage.ai/blog/the-ultimate-guide-to-google-cloud-data-engineering Official site
  15. 15mage.ai/features/ai-generated-pipeline-documentation-automatically-instantly-accurately Documentation
Research status120 substantive facts · 15 source pages · quality score 95/100