Where operational data becomes decisions
Figurative is built for teams that need traceable predictions inside high-stakes workflows, not another static analytics surface.
Patterns
Common deployments
Fraud and anomaly operations
Fuse transaction, account, device, and behavioral data into real-time classification workflows.
Supplier and procurement intelligence
Score vendors, classify spend, identify contract risk, and forecast disruption before it reaches operations.
Claims and clinical operations
Structure healthcare data for anomaly detection, cohort workflows, and patient outcome prediction.
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.
Fit
When Figurative is the right tool
Figurative 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.