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Mage

Full company profile

uuid0000afs

Namestring
Mage
Legal namestring
Mage Technologies, Inc.
Websiteurl
mage.ai
Company typeenum
Private
Founded yearint
2020
Descriptiontext

Mage Technologies, Inc. operates Mage Pro, an AI-native data pipeline platform that unifies ingestion, transformation, orchestration, monitoring, and activation of data inside a single programmable execution layer. The platform is built around a modular block architecture (data_loader, transformer, data_exporter, sensor, dbt, scratchpad) supporting Python, SQL, R, and dbt, with proprietary Dynamic Blocks that can execute 100,000+ concurrent runs via a hyper-concurrency engine and stream-mode execution that the company claims delivers 60% faster data SLAs and 90% memory reduction versus batch processing. AI Sidekick and mage-agent provide AI-assisted code generation, debugging, and natural-language pipeline construction using third-party models (OpenAI GPT-4, Anthropic Claude, DeepSeek-R1), and the platform offers full deployment flexibility across managed cloud, hybrid cloud, private cloud, and on-premises.

Mage monetizes primarily through tiered SaaS subscriptions ranging from $100/mo (Starter) to $25,000/mo (Enterprise), usage-based compute charges ($0.29/compute hour above 8GB RAM on Kubernetes executor), and annual support plans from $20K to $250K. Go-to-market is hybrid: self-serve signup and a 7-day free trial serve the data-engineer persona (often a 'data team of one' in SMB/mid-market), while a direct enterprise sales motion — supported by Sales Development Engineers, Senior Account Executives, and a Get-Demo funnel — targets Business and Enterprise tiers with custom deployment, RBAC, SSO, and audit-trail requirements. A channel program with up to 15% commission on ACV extends reach through ten named regional SI and reseller partners across Europe and ANZ, and Mage Pro Fusion enables OEM/embedded distribution.

The company's customer base is anchored in mid-market and SMB data teams across at least nine verticals (retail, marketing & sales, financial services, energy & power, healthcare & life sciences, education, hospitality & travel, manufacturing, technology & software), with named logos including Lodgify, Librenergy, Solstice Energy, and Techtree Partners. Mage holds SOC 2 Type II certification (audited by Zero Day), is hosted on AWS, and has raised approximately $11.8M in disclosed funding across a 2021 seed led by Gradient Ventures, a 2023 Form D exempt offering, and a 2026 round with Gaingels participation. Active monthly product releases (ProLog changelog) and aggressive hiring across sales, engineering, and customer success indicate the company is in a scaling phase.

Short descriptiontext

Mage Technologies, Inc. operates Mage Pro, an AI-native data pipeline platform that unifies ingestion, transformation, orchestration, and monitoring in a single execution layer. It serves mid-market and enterprise data teams across nine-plus verticals with tiered SaaS subscriptions, usage-based compute, and support plans, supported by managed cloud, hybrid, private cloud, and on-premises deployment.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
1–10
akta.pro rankint
HeadquartersSanta Clara, United States
HQ citystring
Santa Clara
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Offices1 record

Each record includes

City, Country, Type, Description, Source

Keyword5 values
data pipeline platform, ETL orchestration software, AI data engineering, dbt transformation, streaming data integration
Industry4 codes
1End-to-End MLOps & ML Platform Suites
CodeHDAAABAAPrimaryYes
2AI/ML Solution Integration & MLOps Enablement
CodeBPAEAAAJPrimaryNo
3Platform Engineering & Internal Developer Platforms (IDP) for Compute
CodeHDABADAIPrimaryNo
4Cloud & DevOps
CodeEDAAAPAEPrimaryNo
NAICS code2 codes
  • Computer Systems Design and Related Services54151
  • Computer Systems Design and Related Services5415
SIC code2 codes
  • Services-Computer Programming, Data Processing, Etc.7370
  • Services-Prepackaged Software7372
Product category
Data Pipeline Platform
GTM motion6 records

Each record includes

Type, Description, Source

Revenue model5 records
1Tiered SaaS subscriptions
TypeSubscription Recurring
Description

Recurring monthly SaaS subscriptions across Starter ($100/mo), Team ($500/mo), Plus ($2,000/mo), Business ($5,500/mo), and Enterprise ($25,000/mo) tiers. Block runs and AI tokens are included per tier.

mage.ai
2Usage-based compute charges
TypeUsage Based
Description

On-demand compute hours billed at $0.29 per compute hour for Starter; billed per pipeline runtime (1 CPU hour or 4 GB RAM hour, whichever comes first). Applies for Kubernetes (k8s) executor usage above 8GB RAM.

mage.ai
3Premium support plans
TypeProfessional Services
Description

Annual enterprise support subscriptions: Essential ($20,000/yr), Extended ($100,000/yr), and Complete ($250,000/yr), with tiered SLAs, migration support, and dedicated technical account management.

mage.ai
4Customization & custom-region deployments
TypeManaged Services
Description

Quote-based revenue from custom domains, unified pipeline triggers, advanced reporting customization, and custom-region deployments for compliance/latency requirements.

mage.ai
5Partner referral commissions (reverse flow)
TypeAffiliate Referral
Description

Mage pays partners up to 15% commission on annual contract value (or 10% of billed for three-consecutive month monthly paid subscriptions) and recurring commissions on annual renewals for referred customers.

mage.ai
Marketing channels10 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels7 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations
Pricing details9 tiers
1Starter: $100/mo + $0.29/compute hr; up to 15K block runs/mo, 50K AI tokens, 1+ cluster
ModelSubscriptionBilling cadenceMonthly
Notes

Compute hours billed in fractions; charges only apply with Kubernetes (k8s) executor. No charges for default local_python executor.

mage.ai
2Team: $500/mo; up to 15K block runs/mo, 250K AI tokens, 2+ workspaces
ModelSubscriptionBilling cadenceMonthly
Notes

Designed for collaborative team development and light workloads. Block runs do not roll over.

mage.ai
3Plus: $2,000/mo; up to 50K block runs/mo, 2M AI tokens, 2+ clusters, 6+ workspaces
ModelSubscriptionBilling cadenceMonthly
Notes

Includes AI Sidekick with increased limits and faster responses; supports dev and prod clusters.

mage.ai
4Business: $5,500/mo; 200K block runs/mo, 10M AI tokens, 3+ clusters, 15+ workspaces
ModelSubscriptionBilling cadenceMonthly
Notes

Mid-to-upper tier for larger teams.

mage.ai
5Enterprise: $25,000/mo; 700K block runs/mo, 50M AI tokens, 8+ clusters, 100+ workspaces
ModelSubscriptionBilling cadenceMonthly
Notes

Enterprise-scale usage; custom deployments (hybrid, private cloud, on-prem) and custom region quoted separately.

mage.ai
6Essential support: starting at $20,000/yr
ModelSubscriptionBilling cadenceAnnual
Notes

6-hour response for critical issues; 24-hour response for technical issues; 14-day bug fix SLA; 2 hands-on optimizations/month; 10 pipeline migrations; community/self-service support tier.

mage.ai
7Extended support: starting at $100,000/yr
ModelSubscriptionBilling cadenceAnnual
Notes

1-hour response for critical issues; 12-hour response for technical issues; 7-day bug fix SLA; 4 hands-on optimizations/month; 40 pipeline migrations; dedicated technical account manager; direct email/phone support.

mage.ai
8Complete support: starting at $250,000/yr
ModelSubscriptionBilling cadenceAnnual
Notes

15-minute response for critical issues; 6-hour response for standard issues; 3-day bug fix SLA; 8 hands-on optimizations/month; 100 pipeline migrations; dedicated solutions architect, developer success manager, and operations team; quarterly business reviews.

mage.ai
97-day free trial; Starter plan is the entry point with self-serve signup
ModelFreemiumBilling cadencePay-as-you-go
Notes

Free trial available; complimentary AI responses shared across the workspace.

mage.ai
GTM typeB2B
B2B
Offering typeSoftware
Software
Brand1 record
1Mage Pro
Description

The enterprise-grade tier of the Mage platform, offered via Starter, Team, Plus, Business, and Enterprise pricing plans with managed cloud, hybrid cloud, private cloud, and on-premises deployment options.

mage.ai
Core offering1 text field

Mage Pro is a unified AI-native data pipeline platform that combines ingestion, transformation, orchestration, monitoring, and AI execution into a single programmable system, supporting Python, SQL, R, and dbt. It ships with an AI Sidekick for code generation and debugging, Dynamic Blocks for parallel execution, and stream-mode processing, and is offered as managed cloud SaaS, hybrid cloud, private cloud, or on-premises deployment with tiered subscriptions from $100/mo Starter to $25,000/mo Enterprise.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 10 values shown
  • Reduces infrastructure cost by up to 40% via intelligent vertical and horizontal scaling
+9 more records
Product overview1 text field

Mage offers a single unified product, Mage Pro, which is an AI-native data platform that serves as the execution layer for complex data work. The platform is organized as a core engine (Mage Pro) plus an expanding set of modules and features: AI Sidekick and the newer mage-agent provide AI-assisted design, code generation, debugging, and Q&A; the Data Mesh module delivers multi-tenant data architecture for domain teams; Global Hooks (extensibility) and the Mage Pro Deployment API enable programmatic control and customization; the dbt Integration module orchestrates dbt models alongside Python, SQL, and R; and Dynamic Blocks power large-scale parallel execution. Mage Academy provides the educational pathway for users, and the Mage Partner Program supports the channel. Together, these offerings cover ingestion, transformation, orchestration, monitoring, activation, and AI-driven development of production data workflows.

Product and service1 record
1Mage Pro
CategoryData Pipeline Platform
Description

AI-native data pipeline platform that serves as the unified execution layer for complex data work, combining ingestion, transformation, orchestration, monitoring, and activation of data in one programmable system. Supports Python, SQL, R, dbt, and AI in a single runtime, with multi-tenant workspaces, RBAC, observability, AI Sidekick, and flexible deployment (managed cloud, hybrid, private cloud, on-premises). Sold as tiered SaaS subscriptions from $100/mo Starter to $25,000/mo Enterprise plus optional annual enterprise support plans.

Scale indicator12 records

Each record includes

Type, Value, Description, Source

Partnership21 partners
Strategic tierRegional PartnerTypeChannel Partner/ Reseller/ Distributor
Description

Listed as a current partner in the Mage Partner Program. Likely a Netherlands-based consultancy or reseller supporting Mage deployments in the Benelux region.

Strategic tierRegional PartnerTypeImplementation/ SI/ Consulting Partner
Description

Listed as a current partner in the Mage Partner Program. Appears to be a data consulting / system integrator firm.

Strategic tierRegional PartnerTypeImplementation/ SI/ Consulting Partner
Description

Listed as a current partner in the Mage Partner Program. France-based data consultancy / system integrator.

Strategic tierMinor PartnerTypeImplementation/ SI/ Consulting Partner
Description

Listed as a current partner in the Mage Partner Program.

Strategic tierMinor PartnerTypeChannel Partner/ Reseller/ Distributor
Description

Listed as a current partner in the Mage Partner Program.

Strategic tierMinor PartnerTypeImplementation/ SI/ Consulting Partner
Description

Listed as a current partner in the Mage Partner Program.

Strategic tierRegional PartnerTypeImplementation/ SI/ Consulting Partner
Description

Listed as a current partner in the Mage Partner Program. France-based data/analytics consultancy.

Strategic tierRegional PartnerTypeChannel Partner/ Reseller/ Distributor
Description

Listed as a current partner in the Mage Partner Program. Australia-based cloud services / reseller partner supporting Mage rollouts in ANZ.

9ada-study.com
Strategic tierMinor PartnerTypeGTM or Marketing Partner
Description

Listed as a current partner in the Mage Partner Program. Educational/marketing referral partner.

mage.ai
Strategic tierMinor PartnerTypeChannel Partner/ Reseller/ Distributor
Description

Logo present in the 'Meet our current partners' section of the Partner Program page; website domain was not legible in the source content.

Strategic tierCore Infrastructure PartnerTypeTechnology or Integration
Description

Third-party payment service provider used to bill and process payments. Per the Mage MSA, payments may be processed by Stripe; customers agree to Stripe's terms and privacy policy. Stripe is also referenced in the Mage Privacy Policy as the payment processor for purchase transactions.

Strategic tierCore Infrastructure PartnerTypeTechnology or Integration
Description

All Mage services and data are hosted on AWS. Data is stored in AWS databases located in the United States. AWS backup services support business continuity and disaster recovery.

Strategic tierMinor PartnerTypeOthers
Description

Independent security audit firm that performed Mage's SOC 2 Type II audit, reviewing infrastructure, policies, and processes. Industry leader in security audits and penetration testing.

Strategic tierCore Infrastructure PartnerTypeTechnology or Integration
Description

Provides GPT-4 models used by Mage's AI Sidekick. When DeepSeek-R1 Reasoning is disabled, messages are routed to either OpenAI's GPT-4 models or Anthropic Claude models. Opt-out via the AI_SIDEKICK env var.

Strategic tierCore Infrastructure PartnerTypeTechnology or Integration
Description

Provides Claude models used by Mage's AI Sidekick. When DeepSeek-R1 Reasoning is disabled, messages are routed to either OpenAI's GPT-4 models or Anthropic Claude models.

Strategic tierCore Infrastructure PartnerTypeTechnology or Integration
Description

Provides the DeepSeek-R1 model used by Mage's AI Sidekick when the 'Reasoning' toggle is enabled. Opt-out by deselecting the toggle.

Strategic tierCore Integration PartnerTypeTechnology or Integration
Description

Google Ads, Google Business Profile, and BigQuery are supported data sources/destinations with continuous integration improvements (per the June 2026 ProLog). BigQuery is also a destination where jobs respect query API timeouts and BigQuery naming/schema alignment is supported.

Strategic tierCore Integration PartnerTypeTechnology or Integration
Description

Microsoft Ads is a supported integration with continuous improvements (per the June 2026 ProLog). Microsoft Fabric is supported via a dedicated integration guide ('Connecting Microsoft Fabric to Mage Pro: a complete integration guide').

Strategic tierCore Integration PartnerTypeTechnology or Integration
Description

Salesforce Marketing Cloud is a supported integration with meaningful improvements across streams, sample data, schemas, metrics, and authentication (per the June 2026 ProLog).

Strategic tierCore Integration PartnerTypeTechnology or Integration
Description

Build and run data pipelines using Spark, Snowpark, and Databricks. Listed in platform specs as supported compute integration.

Strategic tierCore Integration PartnerTypeTechnology or Integration
Description

Build and run data pipelines using Spark, Snowpark, and Databricks. Cost arbitrage messaging positions Snowflake for hot data processing alongside BigQuery.

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

Open-source data integration platform with 300+ connectors and a cloud/OSS dual model; competes directly with Mage on ingestion, transformation, and pipeline orchestration, and is similarly positioned as a Fivetran alternative for cost-conscious teams.

TypeDirect peer
Description

Managed data integration leader; Mage explicitly cites Fivetran (alongside Hevo) as a primary displacement target in its value proposition with flat compute-based pricing versus per-row pricing.

TypeDirect peer
Description

Creator of dbt for analytics engineering; Mage's dbt integration module positions it as a dbt orchestrator, while Mage explicitly markets dbt Cloud migration as a customer-saving wedge ($16K/year cited savings).

TypeDirect peer
Description

Open-source workflow orchestration platform; Mage positions its orchestration and scheduling features as a unified alternative to stitching Airflow with separate transformation and ingestion tools.

TypeDirect peer
Description

Python-native workflow orchestration platform with both OSS and managed cloud offerings; competes with Mage on scheduling, monitoring, retries, and dynamic pipeline execution.

TypeDirect peer
Description

Asset-centric data orchestration platform with strong lineage and testing capabilities; competes with Mage's orchestration + transformation + AI-assisted developer experience on the data engineering buyer.

TypeDirect peer
Description

Open-source declarative data orchestration platform; targets the same data engineering persona as Mage with event-driven workflows, schedulers, and an OSS-first GTM.

TypeDirect peer
Description

No-code data pipeline platform; Mage cites Hevo alongside Fivetran as a primary displacement target, with customer savings of $12K+/year through pipeline consolidation.

TypeBroad incumbent
Description

Cloud data warehouse that increasingly bundles data pipeline, transformation (Snowpark), and AI features; competes with Mage as a broader platform, particularly for Snowpark-using enterprises.

TypeBroad incumbent
Description

Unified data and AI platform with native Spark, Delta Lake, and ML/AI capabilities; Mage integrates with Databricks (Spark/Snowpark pipelines) and competes for the same enterprise data workloads at a smaller, more focused scope.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat6 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights7 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers6 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment12 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile3 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
Yes

Docs URL, Description

Integration37 records

Each record includes

Title, Type, Description, Source

AI capability12 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature10 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles2 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
Compliance1 record

Each record includes

Name, Class, Description

Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds4 records

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors10 records

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Mage

Data Pipeline Platformmage.ai

Mage Technologies, Inc. operates Mage Pro, an AI-native data pipeline platform that unifies ingestion, transformation, orchestration, and monitoring in a single execution layer. It serves mid-market and enterprise data teams across nine-plus verticals with tiered SaaS subscriptions, usage-based compute, and support plans, supported by managed cloud, hybrid, private cloud, and on-premises deployment.

What Mage does

Mage Technologies, Inc. operates Mage Pro, an AI-native data pipeline platform that unifies ingestion, transformation, orchestration, monitoring, and activation of data inside a single programmable execution layer. The platform is built around a modular block architecture (data_loader, transformer, data_exporter, sensor, dbt, scratchpad) supporting Python, SQL, R, and dbt, with proprietary Dynamic Blocks that can execute 100,000+ concurrent runs via a hyper-concurrency engine and stream-mode execution that the company claims delivers 60% faster data SLAs and 90% memory reduction versus batch processing. AI Sidekick and mage-agent provide AI-assisted code generation, debugging, and natural-language pipeline construction using third-party models (OpenAI GPT-4, Anthropic Claude, DeepSeek-R1), and the platform offers full deployment flexibility across managed cloud, hybrid cloud, private cloud, and on-premises.

Mage monetizes primarily through tiered SaaS subscriptions ranging from $100/mo (Starter) to $25,000/mo (Enterprise), usage-based compute charges ($0.29/compute hour above 8GB RAM on Kubernetes executor), and annual support plans from $20K to $250K. Go-to-market is hybrid: self-serve signup and a 7-day free trial serve the data-engineer persona (often a 'data team of one' in SMB/mid-market), while a direct enterprise sales motion — supported by Sales Development Engineers, Senior Account Executives, and a Get-Demo funnel — targets Business and Enterprise tiers with custom deployment, RBAC, SSO, and audit-trail requirements. A channel program with up to 15% commission on ACV extends reach through ten named regional SI and reseller partners across Europe and ANZ, and Mage Pro Fusion enables OEM/embedded distribution.

The company's customer base is anchored in mid-market and SMB data teams across at least nine verticals (retail, marketing & sales, financial services, energy & power, healthcare & life sciences, education, hospitality & travel, manufacturing, technology & software), with named logos including Lodgify, Librenergy, Solstice Energy, and Techtree Partners. Mage holds SOC 2 Type II certification (audited by Zero Day), is hosted on AWS, and has raised approximately $11.8M in disclosed funding across a 2021 seed led by Gradient Ventures, a 2023 Form D exempt offering, and a 2026 round with Gaingels participation. Active monthly product releases (ProLog changelog) and aggressive hiring across sales, engineering, and customer success indicate the company is in a scaling phase.

Mage firmographics

Firmographics
Name
Mage
Legal name
Mage Technologies, Inc.
Website
https://mage.ai
Company type
Private
Founded year
2020
Operating status
Operating
Headcount range
1–10 employees
Short description
Mage Technologies, Inc. operates Mage Pro, an AI-native data pipeline platform that unifies ingestion, transformation, orchestration, and monitoring in a single execution layer. It serves mid-market and enterprise data teams across nine-plus verticals with tiered SaaS subscriptions, usage-based compute, and support plans, supported by managed cloud, hybrid, private cloud, and on-premises deployment.
Ownership category
akta.pro rank

Mage industry classification

Industry
Product category
Data Pipeline Platform
NAICS
Computer Systems Design and Related Services (54151), Computer Systems Design and Related Services (5415)
SIC
Services-Computer Programming, Data Processing, Etc. (7370), Services-Prepackaged Software (7372)
akta.pro primary industry
End-to-End MLOps & ML Platform Suites (HDAAABAA)
akta.pro secondary industries
AI/ML Solution Integration & MLOps Enablement (BPAEAAAJ), Platform Engineering & Internal Developer Platforms (IDP) for Compute (HDABADAI), Cloud & DevOps (EDAAAPAE)

Keywords

  • Data pipeline platform
  • ETL orchestration software
  • AI data engineering
  • Dbt transformation
  • Streaming data integration

Where Mage is headquartered

Location

Headquarters

HQ city
Santa Clara
HQ country
United States
HQ region
North America

Offices1 record

Markets served

Mage business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations

Revenue model

  1. Tiered SaaS subscriptions: Recurring monthly SaaS subscriptions across Starter ($100/mo), Team ($500/mo), Plus ($2,000/mo), Business ($5,500/mo), and Enterprise ($25,000/mo) tiers. Block runs and AI tokens are included per tier.
  2. Usage-based compute charges: On-demand compute hours billed at $0.29 per compute hour for Starter; billed per pipeline runtime (1 CPU hour or 4 GB RAM hour, whichever comes first). Applies for Kubernetes (k8s) executor usage above 8GB RAM.
  3. Premium support plans: Annual enterprise support subscriptions: Essential ($20,000/yr), Extended ($100,000/yr), and Complete ($250,000/yr), with tiered SLAs, migration support, and dedicated technical account management.
  4. Customization & custom-region deployments: Quote-based revenue from custom domains, unified pipeline triggers, advanced reporting customization, and custom-region deployments for compliance/latency requirements.
  5. Partner referral commissions (reverse flow): Mage pays partners up to 15% commission on annual contract value (or 10% of billed for three-consecutive month monthly paid subscriptions) and recurring commissions on annual renewals for referred customers.

Pricing tiers

ModelBillingPrice
SubscriptionMonthlyStarter: $100/mo + $0.29/compute hr; up to 15K block runs/mo, 50K AI tokens, 1+ cluster
SubscriptionMonthlyTeam: $500/mo; up to 15K block runs/mo, 250K AI tokens, 2+ workspaces
SubscriptionMonthlyPlus: $2,000/mo; up to 50K block runs/mo, 2M AI tokens, 2+ clusters, 6+ workspaces
SubscriptionMonthlyBusiness: $5,500/mo; 200K block runs/mo, 10M AI tokens, 3+ clusters, 15+ workspaces
SubscriptionMonthlyEnterprise: $25,000/mo; 700K block runs/mo, 50M AI tokens, 8+ clusters, 100+ workspaces
SubscriptionAnnualEssential support: starting at $20,000/yr
SubscriptionAnnualExtended support: starting at $100,000/yr
SubscriptionAnnualComplete support: starting at $250,000/yr
FreemiumPay-as-you-go7-day free trial; Starter plan is the entry point with self-serve signup

Go-to-market motion6 records

Distribution channels7 records

Marketing channels10 records

Mage product offering

Product offering

Core offering

Mage Pro is a unified AI-native data pipeline platform that combines ingestion, transformation, orchestration, monitoring, and AI execution into a single programmable system, supporting Python, SQL, R, and dbt. It ships with an AI Sidekick for code generation and debugging, Dynamic Blocks for parallel execution, and stream-mode processing, and is offered as managed cloud SaaS, hybrid cloud, private cloud, or on-premises deployment with tiered subscriptions from $100/mo Starter to $25,000/mo Enterprise.

Product overview

Mage offers a single unified product, Mage Pro, which is an AI-native data platform that serves as the execution layer for complex data work. The platform is organized as a core engine (Mage Pro) plus an expanding set of modules and features: AI Sidekick and the newer mage-agent provide AI-assisted design, code generation, debugging, and Q&A; the Data Mesh module delivers multi-tenant data architecture for domain teams; Global Hooks (extensibility) and the Mage Pro Deployment API enable programmatic control and customization; the dbt Integration module orchestrates dbt models alongside Python, SQL, and R; and Dynamic Blocks power large-scale parallel execution. Mage Academy provides the educational pathway for users, and the Mage Partner Program supports the channel. Together, these offerings cover ingestion, transformation, orchestration, monitoring, activation, and AI-driven development of production data workflows.

Differentiator

Problem solved

Functional benefit

Brands

  • Mage Pro: The enterprise-grade tier of the Mage platform, offered via Starter, Team, Plus, Business, and Enterprise pricing plans with managed cloud, hybrid cloud, private cloud, and on-premises deployment options.

Products and services

  • Mage Pro AI-native data pipeline platform that serves as the unified execution layer for complex data work, combining ingestion, transformation, orchestration, monitoring, and activation of data in one programmable system. Supports Python, SQL, R, dbt, and AI in a single runtime, with multi-tenant workspaces, RBAC, observability, AI Sidekick, and flexible deployment (managed cloud, hybrid, private cloud, on-premises). Sold as tiered SaaS subscriptions from $100/mo Starter to $25,000/mo Enterprise plus optional annual enterprise support plans.

Quantifiable outcome

  • Reduces infrastructure cost by up to 40% via intelligent vertical and horizontal scaling
  • +9 more outcomes

Companies that use Mage

Customer profile

Named customers6 records

Segments12 records

Ideal customer profiles3 records

Mage technology and API

Technology

Technology focussed Yes

API detail

Has API
Yes
API docs
API detail

Core technology

AI maturity

App detail

Integration37 records

AI capability12 records

Feature10 records

Mage partnerships and signals

Strategic signal

Partnerships

21 partnerships are on record, tiered regional partner, minor partner, core infrastructure partner and core integration partner.

  • intodata.nlregional partnerChannel Partner/ Reseller/ DistributorListed as a current partner in the Mage Partner Program. Likely a Netherlands-based consultancy or reseller supporting Mage deployments in the Benelux region.
  • dataplex-consulting.comregional partnerImplementation/ SI/ Consulting PartnerListed as a current partner in the Mage Partner Program. Appears to be a data consulting / system integrator firm.
  • trimane.frregional partnerImplementation/ SI/ Consulting PartnerListed as a current partner in the Mage Partner Program. France-based data consultancy / system integrator.
  • tigunia.comminor partnerImplementation/ SI/ Consulting PartnerListed as a current partner in the Mage Partner Program.
  • gsi-hub.comminor partnerChannel Partner/ Reseller/ DistributorListed as a current partner in the Mage Partner Program.
  • trimlogic.iominor partnerImplementation/ SI/ Consulting PartnerListed as a current partner in the Mage Partner Program.
  • synaltic.frregional partnerImplementation/ SI/ Consulting PartnerListed as a current partner in the Mage Partner Program. France-based data/analytics consultancy.
  • cloudshuttle.com.auregional partnerChannel Partner/ Reseller/ DistributorListed as a current partner in the Mage Partner Program. Australia-based cloud services / reseller partner supporting Mage rollouts in ANZ.
  • ada-study.comminor partnerGTM or Marketing PartnerListed as a current partner in the Mage Partner Program. Educational/marketing referral partner.
  • Unnamed partner logo (no readable domain)minor partnerChannel Partner/ Reseller/ DistributorLogo present in the 'Meet our current partners' section of the Partner Program page; website domain was not legible in the source content.
  • Stripe, Inc.core infrastructure partnerTechnology or IntegrationThird-party payment service provider used to bill and process payments. Per the Mage MSA, payments may be processed by Stripe; customers agree to Stripe's terms and privacy policy. Stripe is also referenced in the Mage Privacy Policy as the payment processor for purchase transactions.
  • Amazon Web Services (AWS)core infrastructure partnerTechnology or IntegrationAll Mage services and data are hosted on AWS. Data is stored in AWS databases located in the United States. AWS backup services support business continuity and disaster recovery.
  • Zero Day (zerodaycpa.com)minor partnerOthersIndependent security audit firm that performed Mage's SOC 2 Type II audit, reviewing infrastructure, policies, and processes. Industry leader in security audits and penetration testing.
  • OpenAIcore infrastructure partnerTechnology or IntegrationProvides GPT-4 models used by Mage's AI Sidekick. When DeepSeek-R1 Reasoning is disabled, messages are routed to either OpenAI's GPT-4 models or Anthropic Claude models. Opt-out via the AI_SIDEKICK env var.
  • Anthropiccore infrastructure partnerTechnology or IntegrationProvides Claude models used by Mage's AI Sidekick. When DeepSeek-R1 Reasoning is disabled, messages are routed to either OpenAI's GPT-4 models or Anthropic Claude models.
  • DeepSeekcore infrastructure partnerTechnology or IntegrationProvides the DeepSeek-R1 model used by Mage's AI Sidekick when the 'Reasoning' toggle is enabled. Opt-out by deselecting the toggle.
  • Google (Google Ads, Google Business Profile, BigQuery)core integration partnerTechnology or IntegrationGoogle Ads, Google Business Profile, and BigQuery are supported data sources/destinations with continuous integration improvements (per the June 2026 ProLog). BigQuery is also a destination where jobs respect query API timeouts and BigQuery naming/schema alignment is supported.
  • Microsoft (Microsoft Ads, Microsoft Fabric)core integration partnerTechnology or IntegrationMicrosoft Ads is a supported integration with continuous improvements (per the June 2026 ProLog). Microsoft Fabric is supported via a dedicated integration guide ('Connecting Microsoft Fabric to Mage Pro: a complete integration guide').
  • Salesforce (Salesforce Marketing Cloud)core integration partnerTechnology or IntegrationSalesforce Marketing Cloud is a supported integration with meaningful improvements across streams, sample data, schemas, metrics, and authentication (per the June 2026 ProLog).
  • Databrickscore integration partnerTechnology or IntegrationBuild and run data pipelines using Spark, Snowpark, and Databricks. Listed in platform specs as supported compute integration.
  • Snowflake (Snowpark)core integration partnerTechnology or IntegrationBuild and run data pipelines using Spark, Snowpark, and Databricks. Cost arbitrage messaging positions Snowflake for hot data processing alongside BigQuery.

Scale indicators12 records

Recent moves6 records

Expansion highlights6 records

Mage competitors and assessment

Company assessment

Direct peers

  • Airbyte: Open-source data integration platform with 300+ connectors and a cloud/OSS dual model; competes directly with Mage on ingestion, transformation, and pipeline orchestration, and is similarly positioned as a Fivetran alternative for cost-conscious teams.
  • Fivetran: Managed data integration leader; Mage explicitly cites Fivetran (alongside Hevo) as a primary displacement target in its value proposition with flat compute-based pricing versus per-row pricing.
  • dbt Labs: Creator of dbt for analytics engineering; Mage's dbt integration module positions it as a dbt orchestrator, while Mage explicitly markets dbt Cloud migration as a customer-saving wedge ($16K/year cited savings).
  • Apache Airflow: Open-source workflow orchestration platform; Mage positions its orchestration and scheduling features as a unified alternative to stitching Airflow with separate transformation and ingestion tools.
  • Prefect: Python-native workflow orchestration platform with both OSS and managed cloud offerings; competes with Mage on scheduling, monitoring, retries, and dynamic pipeline execution.
  • Dagster: Asset-centric data orchestration platform with strong lineage and testing capabilities; competes with Mage's orchestration + transformation + AI-assisted developer experience on the data engineering buyer.
  • Kestra: Open-source declarative data orchestration platform; targets the same data engineering persona as Mage with event-driven workflows, schedulers, and an OSS-first GTM.
  • Hevo Data: No-code data pipeline platform; Mage cites Hevo alongside Fivetran as a primary displacement target, with customer savings of $12K+/year through pipeline consolidation.

Broad incumbents

  • Snowflake: Cloud data warehouse that increasingly bundles data pipeline, transformation (Snowpark), and AI features; competes with Mage as a broader platform, particularly for Snowpark-using enterprises.
  • Databricks: Unified data and AI platform with native Spark, Delta Lake, and ML/AI capabilities; Mage integrates with Databricks (Spark/Snowpark pipelines) and competes for the same enterprise data workloads at a smaller, more focused scope.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat6 records

Key risks6 records

Key highlights7 records

Customer concentration

Mage social profiles

Digital presence

Mage compliance and trust

Trust signal

Compliance1 record

Mage financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Mage leadership team

Management profile

Number of profiles

Profiles2 records

Mage funding detail

Funding detail

Funding overview

Funding rounds4 records

Investors10 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Mage M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Mage

What does Mage do?

Mage Pro is a unified AI-native data pipeline platform that combines ingestion, transformation, orchestration, monitoring, and AI execution into a single programmable system, supporting Python, SQL, R, and dbt. It ships with an AI Sidekick for code generation and debugging, Dynamic Blocks for parallel execution, and stream-mode processing, and is offered as managed cloud SaaS, hybrid cloud, private cloud, or on-premises deployment with tiered subscriptions from $100/mo Starter to $25,000/mo Enterprise.

Is Mage a public or private company?

Mage is a private company. It is classified as venture growth investor backed and is currently operating.

When was Mage founded?

Mage was founded in 2020. It employs 1 to 10 people.

Where is Mage based?

Mage is headquartered in Santa Clara, United States, in the North America region.

How does Mage make money?

Five revenue lines are on record. Tiered SaaS subscriptions are the primary driver. The others are usage-based compute charges, premium support plans, customization & custom-region deployments and partner referral commissions (reverse flow).

Who are Mage's main competitors?

Direct peers on record are Airbyte, Fivetran, dbt Labs, Apache Airflow, Prefect, Dagster, Kestra and Hevo Data. Broad incumbents are Snowflake and Databricks.

Does Mage have an API?

Yes. Mage exposes every platform capability through REST APIs, enabling complete programmatic control over the data ecosystem. Capabilities include atomic operations (create/update/delete any Mage resource such as pipelines, blocks, schedules), metadata management (data catalogs, lineage, governance), cluster resource management (triggers, deployments, infrastructure metrics), and user/permission control. API can also be used to deploy high-performance, low-latency inference endpoints. Authentication and rate limits are not explicitly stated; documentation is at https://docs.mage.ai. Developer documentation is at docs.mage.ai.

What industry is Mage in?

Mage's product category is Data Pipeline Platform. Its primary akta.pro industry code is HDAAABAA, End-to-End MLOps & ML Platform Suites, with a secondary code of BPAEAAAJ, AI/ML Solution Integration & MLOps Enablement. Its NAICS code is 54151 and its SIC code is 7370.

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Live signals
MicrosoftWhen configuration becomes a vulnerability: Exploitable misconfigurations in AI appsMicrosoft Defender for Cloud research identified exploitable misconfigurations in popular AI applications and platforms running on cloud-native infrastructure, where AI services were publicly exposed with weak or missing authentication. The findings show that over half of cloud-native workload exploitations stem from misconfigurations, with 15% of remote MCP servers allowing unauthenticated access to sensitive internal data. Through responsible disclosure, Mage AI addressed authentication issues, and the article provides practical guidance for securing AI deployments.MageData Pipeline Orchestration: The Ultimate Guide for Data Engineers – Mage AI BlogThis article serves as a technical guide for data engineers on implementing data pipeline orchestration, detailing key practices such as dependency management using Directed Acyclic Graphs (DAGs), error handling, and scalability. It highlights specific tools like Apache Airflow, Prefect, and Kubernetes, while citing industry examples from companies including Netflix, Airbnb, Robinhood, and Capital One to illustrate real-world applications.SubstackReview of Data Orchestration LandscapeThis article provides a comparative analysis of four major data orchestration frameworks: Apache Airflow, Prefect, Dagster, and Mage. It evaluates these tools based on their architectural approaches, such as DAG-based versus code-centric models, and assesses their ecosystem maturity through community usage metrics like GitHub stars and open issues. The author concludes that while Airflow remains the dominant standard for general orchestration, the other three tools offer specialized alternatives for teams with specific data engineering needs.PR NewswireMage Achieves SOC 2 Type I ComplianceMage Technologies, Inc. announced it has achieved SOC 2 Type I compliance certification in accordance with AICPA standards, following an audit conducted by Prescient Assurance. The certification provides third-party industry validation that Mage Technologies, Inc. maintains enterprise-level security for customer data within its cloud-based community management and virtual event platform. An unqualified opinion on the SOC 2 Type I audit report serves as validation to current and future customers that Mage manages data with high security and compliance standards.Venture Capital Access OnlineMage Reveals $6.3 Million Seed Led by Gradient Ventures, Google's AI-fund, to Become the Stripe for AIMage, a collaborative AI tool for product developers, announced it has raised a $6.3 million seed funding round led by Gradient Ventures, Google's AI-focused venture fund. The startup aims to provide low-code solutions that enable product teams to build, train, and integrate AI into applications without requiring specialized data science expertise. Mage plans to use the capital to further develop its platform ahead of its official launch in early 2022.