Decision intelligence for consumer brands

What decision are you trying to make?

Ask a pricing, demand, launch, campaign, spend, compete, or forecast question. Kapnova keeps AI at the interface and deterministic math in the answer.

PricingDemandLaunchSpendForecast

Local MVP path: upload a beauty CSV, run a bounded workflow, generate a test plan, and monitor the result.

Backend status

AI for the interface. Math for the answer.

The API health card verifies the current local backend, storage adapter, and environment before you run the workflow.

Checking backend health...
Sourced and auditable
Deterministic simulation outputs
Shared enterprise memory
Test plans and live monitors
The Monday morning problem

Your CEO asks what the next move should be.

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.

Upload

Normalize a CSV and save a data dictionary into shared memory.

Simulate

Run pricing or demand math with assumptions, intervals, and traceability.

Plan

Seed an editable, versioned test plan from the simulation.

Monitor

Add checkpoints and get deterministic proceed, hold, or kill calls.

01

AI reads the request

The LLM boundary translates language to structure and explains results. It does not compute business metrics.

02

Math runs the decision

Pricing and demand engines compute reproducible outcomes, confidence intervals, and sensitivity cases.

03

Workflow stores the proof

Simulations, plans, monitors, comments, memory, and audit events stay enterprise-scoped.