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The client needed to build a scalable, GDPR-compliant mental health diagnostic platform within tight time (4-6 week timeline) and budget constraints. Existing challenges included integrating legacy miniapps, ensuring secure data flow for sensitive medical information, and enabling future AI integration while maintaining code quality for an in-house team to continue development.
A health tech startup leveraging neuroscience, linguistics, psychology, and machine learning to develop AI-driven mental health diagnostic solutions.
The platform will enable the client to secure Series A funding through demonstrable clinical workflows, achieve 40% faster time-to-market for diagnostic features, and maintain compliance with healthcare data regulations. Successful implementation will position the solution for industry recognition and potential partnerships with mental health institutions.