Use Cases

One product path: describe the work → production pipeline → Data Lab analysis → trained model.

ETL Pipelines

Production pipelines from plain English — then open the same output in Data Lab or send it to ML Lab in one click.

Data Analysis

Interactive Data Lab on live pipeline output. Profiling, anomalies, visualizations, and NL questions from the same agents.

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ML Training

Describe the modeling goal with the data work. Templates take pipeline output to baseline, evaluation, and deploy.

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Which use case do I start with?

No. Start with ETL Pipelines. Describe the sources and destination in English, deploy to Epiphany Cloud, and stop there. Data Lab and ML Lab stay one click away when you want them.

Ready to get started?

Describe the work in plain English. Get a pipeline, analysis, and a first model.

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