The project already has a consumer PWA, specialist AI interface, scientific architecture and backend direction. The immediate need is cloud capacity, long-context AI, database infrastructure and go-to-market validation.
Azure OpenAI Service credits will directly power our core mediation protocol testing and multi-agent simulation frameworks. It allows our development environment (including Cursor-based workflows) and production infrastructure to run heavy validation rounds and automated safety tests without API budget constraints.
Gemini’s long context window is critical for Family Bridge, long-term family diaries, and specialist case continuity. Google Ads infrastructure support, growth credits, and marketing mentorship will be used to validate international demand and optimize user acquisition costs (CAC) for Teenology as the consumer entry point.
The architecture strictly separates personal identifiable information (PII) from the LLM processing layer. With zero-knowledge local logging for consumer diaries, the platform is architected with strict adherence to GDPR and COPPA frameworks, eliminating compliance risks for cloud partners and institutions.
Move from demos and limited usage to thousands of family and specialist interactions.
Deploy secure professional terminals that seamlessly connect consumer prevention signals with actionable workflows for school and private psychologists.
Roll out aggregate prevention intelligence from school clusters through regional coordination to national public-health policy views.