
Recommendations based on real cases
Unlike generic AI chatbots, the platform does not rely on abstract answers from the internet. We are building our own database that includes:
- real enforcement practice
- approval and rejection cases
- requirements of migration authorities
- common mistakes and non-obvious nuances
AI recommendations are based on this database, not on probabilistic guesses.
This allows to:
- reduce hallucinations
- improve accuracy of recommendations
- consider practice, not just formal rules




