Decision intelligence for consumer brands

What decision are you
trying to make?

Ask a pricing, launch, campaign, spend, compete, or forecast question. Get a sourced, quantitative answer in 60 seconds.

Pricing Launch Campaign Spend Compete Forecast
No signup required
First simulation free
300+ beauty & CPG brand relationships
1,247 public sources per simulation
Sourced · auditable · not vibes
60-second answers
AI for the interface · math for the answer
The moment

Monday morning.
Your CEO asks the question.

"
What's the $5M move next quarter?
And you have a week to answer.

Every quarter, every leadership meeting, every Monday. The data is three weeks old, the agency deck won't land for six weeks, and the team is running on gut instinct. Kapnova gives you a quant-grade answer in 60 seconds — sourced, auditable, defensible.

See how it works →
What this week actually looks like
Mon
Leadership meeting. No data to back the call.
Tue
You ask your agency. They'll have a deck in six weeks.
Wed
Your analysts pull Tableau. It shows last quarter.
Thu
You ask ChatGPT. Confident answer. No sources.
Fri
You make the call on gut. Hope you're right.
Source: 42 discovery conversations with VP Marketing / CMO / VP Growth, Q1 2026
Why it's hard

Three answers today.
None of them great.

×
Gut + agency deck
Six weeks. $200K. Biased by what they sold you last quarter.
Slow. Expensive. Conflicted.
×
BI dashboards
Tableau. Power BI. Looker. Beautifully show you what already happened.
Never tells you what to do next.
×
GenAI chatbots
Fast. Fluent. Confident. Hallucinate numbers. No sources. Not auditable.
Wrong, persuasively.
You're stuck between slow, expensive, and unreliable.
Where AI ends. Where math begins.

AI for the interface.
Math for the answer.

Most "AI analytics" tools use a language model to generate the answer. That's why they hallucinate. Kapnova uses AI for what it's good at — reading signals, parsing sentiment, translating math into narrative — and runs your decision through deterministic quantitative models. The same kind hedge funds use to allocate billions.

AI reads the world
Natural-language interface. Signal ingestion across 1,200+ sources. Narrative translation of the math's answer.
MATH runs the decision
Quant agents — demand, sentiment, risk. Monte Carlo over 10,000+ scenarios. Causal attribution, not correlation.
See the math →
The insight behind Kapnova

Hedge funds have been solving
this problem for 30 years

The formula that predicts a stock price is the same formula that predicts whether your promo will work. Wall Street figured this out decades ago. Consumer brands are still using agency decks.

HEDGE FUND MODEL
Financial data (earnings, flows)
Sentiment signals (news, social)
Monte Carlo simulation
→ Stock price + confidence
same formula
KAPNOVA MODEL
Sales data (your brand's history)
Sentiment signals (Reddit, TikTok)
Monte Carlo simulation
→ Revenue impact + confidence
The asset class changed. The math didn't.