The pipeline, from source data to operational action

Videos can be added later. For now, these walkthroughs outline the real product journey and the decisions teams make at each stage.

Product Flow

Five stages

Connect

Register sources, credentials, and data contracts. Craven inspects schemas and prepares extraction plans.

Normalize

Transform raw source data into stable entities, fields, histories, and features that models can trust.

Map

Bind source data into an ontology so teams can reason about customers, suppliers, events, risk, and decisions.

Predict

Run classification, forecasting, and anomaly workflows with traceable inputs and configurable model choices.

Act

Deliver outputs to dashboards, APIs, operational tools, and review queues where decisions happen.

Demo paths

Walkthroughs worth filming

Build a governed customer intelligence pipeline from Postgres and S3.

Detect supplier risk from contracts, incidents, and delivery history.

Create a healthcare claims anomaly workflow with human review.

Map source tables into an ontology and trace every prediction back to evidence.