Visual pipeline canvas
See sources, transformations, joins, validation, and outputs as one editable DAG.
Turn data intent into production pipelines, decision-ready insights, and reusable data products.
Ordiva brings visual orchestration, AI-generated transformations, and artifact-grounded analysis into one engineering workspace.
Product
From messy inputs to a system you can operate.
Build, inspect, run, and interrogate the pipeline without moving between a canvas, notebook, and disconnected AI chat.
Generated transformations
Turn intent and upstream schema into readable Python and SQL attached to each node.
Artifact-grounded analysis
Ask questions against persisted node outputs, schema, and lineage—not detached chat context.
Durable execution
Run a node, a downstream branch, or the full pipeline in isolated, observable jobs.
How it works
One workflow from intent to insight.
Ordiva keeps the graph, generated code, execution state, and analysis context together from the first source to the final output.
Connect your data
Start with files, databases, or events. Ordiva profiles every source as it enters the workspace.
Shape the pipeline
Turn the outcome you want into an editable graph with transformation logic at every node.
Run and inspect
Execute any scope, then inspect artifacts, schema, logs, and lineage in the same place.
Ask and publish
Analyze any pipeline state and turn useful answers into reusable project insights.
Built in the open
Inspect what the agent builds.
Generated code, upstream context, lineage, and run history stay attached to the pipeline. Nothing disappears behind a chat response.
Who it’s for
For the people who own the pipeline.
Data engineers
Move faster without giving up DAG structure, lineage, observable runs, or control over transformation code.
Software engineers
Work with real Python and SQL, isolated execution, typed pipeline structure, and artifacts you can inspect.
Start building
Bring the data. Describe the outcome.
Ordiva turns the work between them into an operable pipeline.