Run workflows that deliver current, reliable, and reusable data that is safe to depend on in production.
Trusted every day by titans, unicorns, and dreamers
Built for data-driven teams
Automate pipelines and AI workflows for production, with reproducible runs and fast recovery.
Unified execution
Ingestion, transformation, and automation run in one system so reliability is a built-in behavior.
Modular runtime
Workflows run as isolated units with explicit inputs and outputs so failures stay contained and recovery is targeted.
Compounding work
Reuse outputs, context, and history so fixes, backfills, and new use cases do not require rebuilding.
AI-ready data
AI fails when its context is not reproducible and trustworthy.
Mage turns workflows into reusable data outputs that are safe to depend on in production.
Reliable
Each output is backed by preserved execution state and history, so you can inspect, reproduce, and recover runs as data and logic evolve.
Reusable
Outputs are versioned and addressable, so downstream workflows and agents can reuse trusted context instead of recomputing or rebuilding logic.
Use cases teams rely on
Running critical systems in production.
Run analytics that stay correct as data changes
Produce trusted metrics across SQL, dbt, and Python workflows that remain reproducible as logic evolves.
Versioned models and execution history
Metrics defined once and reused everywhere
Built-in testing and validation
Move and transform data continuously
Ingest and transform data as it arrives or on schedule while keeping execution reliable and recovery routine.
Native batch, sync, and streaming
Schema-aware ingestion and validation
Replay and targeted reprocessing
Power AI systems with production data
Prepare, serve, and reuse data as execution context so AI systems act on current, reliable information.
Reusable execution outputs as shared context
Models run against shared data context
Observable inputs and outputs per run
Build internal platforms
Create a shared execution layer that multiple teams can use to ship and operate data products consistently.
Multi-tenant workspaces and environments
Shared building blocks and reusable outputs
Centralized observability and recovery
Fits into your existing stack
The execution runtime between your data sources and downstream consumers.
Step 1
Connect
Ingest data from databases, warehouses, lakes, SaaS tools, and APIs using your existing sources.
Step 2
Execute
Run SQL, dbt, Python, R, and custom code on our compute or yours with preserved run context for replay and recovery.
Step 3
Deliver
Publish reusable outputs that stay current and reliable for dashboards, apps, APIs, and agents.
Go from concept to deployment in minutes.
Mage’s AI automates hours of manual work, freeing you to focus on innovation.
Build
Build with natural language. Describe your intentions and Mage turns it into working data workflows.
Code
AI-assisted code generation and enhancement. Agents help you write, refactor, and optimize pipelines.
Contextualize
Reusable AI-driven context. Models, apps, and humans can safely leverage the same trusted data.
Ask
Ask questions about your data. Get answers instantly without writing SQL or code.
Automate
Automatic validation and debugging. AI spots errors, ensures correctness, and suggests fixes.
Evolve
Improve and iterate safely over time. AI guides updates as data and requirements change.
Faster execution, less overhead
When execution is reliable and reusable, teams move faster with less operational work.
Scale without scaling costs
Increase throughput as the business grows without adding tools or headcount.
Consolidate expensive point tools and DAG sprawl into a single execution surface
Lower total cost of ownership by reducing external orchestration and operational overhead
Iterate faster, safer
Ship changes without breaking production by making execution reproducible and recovery routine.
Promote updates through environments with controlled releases and preserved run history
Replay and partially re-run only what changed, so fixes and backfills are fast and low-risk
Watch
Deploy and run your way
Flexible deployment options designed to fit cleanly into your environment across scale, security, and performance needs.
Fastest time to value. Zero infrastructure to manage.
Fully managed cloud
Fully hosted and managed by us. Ideal for teams that want to move fast and let Mage handle everything behind the scenes.
Hybrid cloud, private cloud, and on-premises.
Deployed into your infrastructure
Workloads run inside your environment, while Mage operates the platform that governs execution, reliability, and upgrades.
Build your first data workflow in minutes and start delivering data you can depend on.