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Normalize a CSV and save a data dictionary into shared memory.
Decision intelligence for consumer brands
Ask a pricing, demand, launch, campaign, spend, compete, or forecast question. Kapnova keeps AI at the interface and deterministic math in the answer.
Local MVP path: upload a beauty CSV, run a bounded workflow, generate a test plan, and monitor the result.
The API health card verifies the current local backend, storage adapter, and environment before you run the workflow.
Dashboards show what already happened. Generic AI gives fluent but ungrounded answers. Kapnova turns a plain-English business question into a traceable workflow with data, memory, external signals, and deterministic math.
Normalize a CSV and save a data dictionary into shared memory.
Run pricing or demand math with assumptions, intervals, and traceability.
Seed an editable, versioned test plan from the simulation.
Add checkpoints and get deterministic proceed, hold, or kill calls.
The LLM boundary translates language to structure and explains results. It does not compute business metrics.
Pricing and demand engines compute reproducible outcomes, confidence intervals, and sensitivity cases.
Simulations, plans, monitors, comments, memory, and audit events stay enterprise-scoped.