Automate with Pipelines
Chain notebooks and AI steps into reliable production workflows. Schedule with cron, trigger through API, and govern every run from one platform.
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Resource Config
Scheduling
API
Automate production workflows without orchestration sprawl
Pipelines let you turn notebook logic into repeatable jobs with scheduling, APIs, and runtime controls built in.
Chain notebook steps
Organize extraction, transformation, validation, and loading as sequential pipeline elements.
Trigger on your schedule or via API
Run pipelines on a cron schedule or launch them programmatically from other systems.
Track every execution
Follow status, logs, runtime, and failures so jobs are operationally usable, not just technically runnable.
Built for operational workflows
Use notebooks as reusable production steps while keeping scheduling, resource allocation, and monitoring close to the work itself.
Notebook-based pipeline graph
Reuse notebook logic as ordered pipeline stages instead of rewriting transformations elsewhere.
Configurable runtime resources
Assign worker environments and compute profiles per pipeline to fit the workload.
Execution history and traceability
Review recent runs, runtime duration, success states, and error behavior from the same control plane.
Run pipelines when the business needs them
The value of a pipeline is in how dependably it runs. MINEO gives you the trigger surfaces and visibility needed to make that practical.
Scheduled jobs
Use cron-like scheduling for recurring data refreshes, reporting cycles, and overnight processing.
REST API triggers
Integrate pipelines into external systems, apps, or automation flows through API-based execution.
Operational awareness
Monitor activity, review runs, and keep teams informed when automation succeeds or breaks.
ETL and ELT flows
Move from raw data to cleaned, transformed outputs using notebook-native logic.
ML and model workflows
Automate training, feature preparation, or scoring jobs on repeatable schedules.
Warehouse syncs
Load curated outputs into downstream systems and keep analytical layers fresh.
Automated reporting
Refresh dashboards, KPI datasets, and business reporting without manual reruns.
Built for teams that need automation to stick
Pipelines shine when notebook work has to become a dependable workflow instead of a one-off manual run.
ETL pipelines
Extract, transform, and load data on repeatable schedules with notebook-based steps.
Feature engineering
Refresh derived datasets and intermediate assets used by downstream ML or analytics systems.
Model training jobs
Trigger heavier analytical or ML runs manually, on schedule, or via external systems.
App and dashboard refreshes
Keep live apps and reporting layers up to date with reliable automated runs.
Go deeper with the documentation
Technical references, implementation details and examples for teams building on MINEO.
Part of MINEO, the governed AI Workspace
Every MINEO product runs on one multi-model platform: use any AI model, keep your data protected and stay EU-compliant — with no vendor lock-in.
Create your first automated pipeline
Chain notebook steps, add schedules or API triggers, and run reliable workflows without extra orchestration overhead.