Predictions you can check
Semogram connects the records behind operational questions, produces forecasts and classifications, and keeps the evidence available for your team to review.
Common workflows
Anomaly review
Combine transaction, account, and behavioral data into classification workflows that flag unusual activity for your team to review.
Supplier and procurement intelligence
Score vendors, classify spend, surface contracts that need attention, and flag likely supplier delays early.
Claims and clinical operations
Structure operational healthcare data for claims review, capacity forecasting, and planning.
Industrial reliability
Combine sensor, maintenance, production, and quality data to forecast failures and classify root causes.
Demand and inventory planning
Model demand, stock, logistics, and channel constraints in one operational prediction layer.
Define a useful first test
Choose a single decision, the source records available at the time, and an outcome you can observe. Hold out known results when testing predictions, then inspect both errors and the evidence behind correct answers.
For a supplier-risk workflow, that might mean comparing delivery predictions with actual arrival dates. For ticket triage, compare predicted topics with labels your team has reviewed.
Choose a measured exercise ↗When Semogram is the right tool
Semogram is strongest when the problem spans multiple systems, needs repeatable transformation, and requires decisions to be explained after the model has produced an answer.
Teams evaluating Craven typically start with one workflow that already exists in spreadsheets, scripts, notebooks, or brittle data pipelines.