Connect, reconcile, and predict with evidence
Craven connects the data a business already has, reconciles it into one picture, and returns answers, predictions, and recommendations that trace back to their source.
What your team can do
Build a workflow in plain language
Author predictive workflows from plain-language requests, review generated graphs, configure connectors, attach policies, validate interfaces, and publish plans.
Reconcile records into one picture
Define domain models, map source data into entities and relationships, materialize semantic state, and inspect provenance across runs.
Run and inspect the result
Run forecasting, classification, and recommendation workflows with validation, policy review, asset versioning, observability, and controlled writes.
Make predictions you can check
Classification, forecasting, anomaly detection, and model-assisted analysis live inside governed workflows instead of a separate product silo.
Work through your own AI assistant
Connect Claude, ChatGPT or another MCP-compatible assistant to your workspace, with the same permissions, evidence and approvals as the app.
Verify a first result
Connect a small source, review and save one workflow, then execute it and inspect the output. For forecasts, compare predictions with observed outcomes before expanding the scope.