Concepts that win clients over. Before you ever present.

85 to 98% agreement with traditional market research, validated across 80+ academic studies. Real cases: Essity hit 98% correlation on claims ranking against live consumer panels, and Oetinger reached 92% prediction accuracy. For your first few pitches we recommend running a parallel study, the same concepts once against the Twins and once in a real test setup. Most agencies see 90%+ correlation and can confidently stand behind the tool in every pitch after that.

Yes. On the Pro plan you define custom audiences using demographic and psychographic parameters (age, occupation, income, interests, values). More than 20 standard segments are available out of the box (online shoppers, B2B decision-makers, Gen Z, and more). For niche audiences such as specific industry buyers, the Enterprise plan lets us train custom Twins directly on your client’s first-party data, provided there’s a sufficiently representative dataset.

The Pro plan (€84/user/month) gives you a central agency setup with around 100 audience inquiries per user per day, enough to run pitches for several clients in parallel. For higher volume or custom audiences, Enterprise with tailored quotas is the right fit. You can pass the cost on transparently as a research line item, per test, per project, or as a flat fee. Enterprise also adds white-label reports with no neuroflash branding for client pitches.

Made in Germany, headquartered in Hamburg, with 100% of data processing in Germany. GDPR-native, EU AI Act compliant, ISO 27001 certified. Client data and tested concepts are never used for training. Role-based access control per project, full audit logging. On Enterprise: a custom DPA with each client, a dedicated server, and SSO. The underlying Twin profiles are anonymized survey data, so there’s no PII risk for your clients.

80+ academic studies provide the scientific validation. The Digital Twins are built on 1,000,000+ real personality profiles with up to 255 validated data points per person, comparable to traditional market-research panels. A grounding layer and chain-of-thought reasoning prevent generic LLM answers, and you can explain that in the pitch. Fortune 500 clients like Essity use the methodology in production. On Enterprise: white-label reports in your client’s brand design, with no neuroflash branding visible in the pitch.

ChatGPT gives you average answers at roughly 55% accuracy, based on generic training data, and it doesn’t know your client’s audience. Digital Twins are built on real personality profiles from 1M+ real surveys since 2017, with 85 to 98% accuracy. You can defend the methodology in the pitch (academic validation), and results are reproducible and auditable. With ChatGPT you get different answers on every run, and that falls apart the moment a client questions it.