Is this just ChatGPT in a wrapper?
No. The engine is a deterministic matching system built specifically for visa and residency rules — hard eligibility gates, weighted scoring across five dimensions, and a curated dataset of +1,900 pathways verified against government sources. We use LLMs only for narrative summarization inside the report, never for the eligibility decision itself. Every recommendation is auditable.
Why should an emigration agency use this instead of building in-house?
Building a defensible matching engine for the emigration vertical takes 12–18 months of dataset work, government-source verification, and ongoing maintenance as visa rules change. We've already done it, we keep it current quarterly, and you skip straight to deployment. For most firms that's a six-figure saving in year one alone.
Can the engine adapt to my industry?
Yes. The architecture — structured questions, weighted matching, personalized output — is content-agnostic. We swap the underlying dataset and re-tune the question logic to your use case during onboarding. Most often that means narrowing to a specific country list or visa category, but it can also extend to relocation services, tax planning, or international schooling.
How is pricing structured?
Specific terms vary by partner. We discuss commercials in the intro call so we can match your volume, complexity, and preferred model.
How long does white-label setup take?
Technical embed is under 30 minutes. Branding customization typically 1–2 days. Dataset adaptation depends on complexity and is scoped during the intro call.
Is there exclusivity for recommended partners?
Discussed case-by-case during the intro call. We're flexible depending on the niche's volume.
What about data and GDPR?
We process quiz data under our published privacy policy. White-label partners receive a Data Processing Agreement before launch. Recommended partners receive only consented referral data.
Can a business use both models?
Yes. Several scenarios make sense for both at the same time.