Mage
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.
- Company typePrivate
- Founded2020
- HeadquartersSanta Clara, United States
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
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
Where Mage is headquartered
LocationHeadquarters
- 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
- 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.
- 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.
- 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.
- Customization & custom-region deployments: Quote-based revenue from custom domains, unified pipeline triggers, advanced reporting customization, and custom-region deployments for compliance/latency requirements.
- 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
| Model | Billing | Price |
|---|---|---|
| Subscription | Monthly | Starter: $100/mo + $0.29/compute hr; up to 15K block runs/mo, 50K AI tokens, 1+ cluster |
| Subscription | Monthly | Team: $500/mo; up to 15K block runs/mo, 250K AI tokens, 2+ workspaces |
| Subscription | Monthly | Plus: $2,000/mo; up to 50K block runs/mo, 2M AI tokens, 2+ clusters, 6+ workspaces |
| Subscription | Monthly | Business: $5,500/mo; 200K block runs/mo, 10M AI tokens, 3+ clusters, 15+ workspaces |
| Subscription | Monthly | Enterprise: $25,000/mo; 700K block runs/mo, 50M AI tokens, 8+ clusters, 100+ workspaces |
| Subscription | Annual | Essential support: starting at $20,000/yr |
| Subscription | Annual | Extended support: starting at $100,000/yr |
| Subscription | Annual | Complete support: starting at $250,000/yr |
| Freemium | Pay-as-you-go | 7-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 offeringCore 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 profileNamed customers6 records
Segments12 records
Ideal customer profiles3 records
Mage technology and API
TechnologyTechnology 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 signalPartnerships
21 partnerships are on record, tiered regional partner, minor partner, core infrastructure partner and core integration partner.
- intodata.nlregional partnerListed 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 partnerListed as a current partner in the Mage Partner Program. Appears to be a data consulting / system integrator firm.
- trimane.frregional partnerListed as a current partner in the Mage Partner Program. France-based data consultancy / system integrator.
- tigunia.comminor partnerListed as a current partner in the Mage Partner Program.
- gsi-hub.comminor partnerListed as a current partner in the Mage Partner Program.
- trimlogic.iominor partnerListed as a current partner in the Mage Partner Program.
- synaltic.frregional partnerListed as a current partner in the Mage Partner Program. France-based data/analytics consultancy.
- cloudshuttle.com.auregional partnerListed as a current partner in the Mage Partner Program. Australia-based cloud services / reseller partner supporting Mage rollouts in ANZ.
- ada-study.comminor partnerListed as a current partner in the Mage Partner Program. Educational/marketing referral partner.
- Unnamed partner logo (no readable domain)minor partnerLogo 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 partnerThird-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 partnerAll 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 partnerIndependent 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 partnerProvides 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 partnerProvides 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 partnerProvides 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 partnerGoogle 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 partnerMicrosoft 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 partnerSalesforce Marketing Cloud is a supported integration with meaningful improvements across streams, sample data, schemas, metrics, and authentication (per the June 2026 ProLog).
- Databrickscore integration partnerBuild and run data pipelines using Spark, Snowpark, and Databricks. Listed in platform specs as supported compute integration.
- Snowflake (Snowpark)core integration partnerBuild 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 assessmentDirect 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 presenceMage compliance and trust
Trust signalCompliance1 record
Mage financial estimates
Financial estimateRevenue estimate
Valuation estimate
Mage leadership team
Management profileNumber of profiles
Profiles2 records
Mage funding detail
Funding detailFunding 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 investmentM&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.