NativeproofOpen the workspace

Cultural intelligence for campaign decisions

Understand the market. Test the message. Adapt with evidence.

Nativeproof is a research workspace for taking a campaign into a new market. It combines cultural affinity data, synthetic rehearsals, and controlled adaptation, and shows exactly what each conclusion rests on.

Start researching How it works

Every result carries its label

  • Source dataInformation returned by a provider or recorded from an explicit source.
  • CalculatedA result computed using documented deterministic logic.
  • Model interpretationAn explanation or hypothesis generated by a model.
  • SyntheticAI-generated content, including simulated reactions.
  • UnverifiedA claim or hypothesis that has not been adequately supported.
  • Observed outcomeA real-world outcome measured or recorded from an actual source.

One workflow, from signal to report

  1. 01

    Discover · Atlas

    Resolve your campaign's cultural references against Qloo affinity data and read a market brief that separates source data from interpretation.

  2. 02

    Simulate · Audience

    Rehearse the campaign with synthetic reactions across stated audience assumptions. Each one is labeled AI-generated; none stands in for a participant.

  3. 03

    Adapt · Voice

    Generate market-specific variants that keep protected brand terms intact, with every change explained and its evidence linked.

  4. 04

    Compare · Loop

    Score the original and its adaptations under one documented scoring version, and see the trade-offs instead of a single opaque winner.

  5. 05

    Prove · Proof

    Assemble a report with the evidence register, provenance, and limitations, ready to export.

What it will not claim

Affinity is not demand
Cultural affinity data shows what a market engages with. It does not establish purchase intent or campaign success.
Synthetic is labeled
Simulated reactions are hypotheses for real-world validation, never counted as human responses.
Scores have definitions
Every score states how it was calculated and what it does not establish. Confidence labels are rules, not probabilities.
Demo data says so
Demo projects run on labeled fixtures and carry a persistent DEMO DATA indicator.

Try the full workflow on a labeled demo project. No account details or provider keys needed.

Open the workspace