The goal of Innoid is to create a centralized, HIPAA-compliant healthcare data warehouse that unifies clinical and operational data from multiple systems. The platform standardizes structured, semi-structured, and unstructured inputs into a single repository, enabling advanced analytics, business intelligence, and AI-powered insights. It directly tackles the challenge of disconnected healthcare data sources, giving organizations the ability to make faster, evidence-based decisions.

The platform is designed to develop and launch a comprehensive screening and management system for fertility candidates, including surrogates (gestational carriers), egg/embryo donors, and sperm donors. It empowers agencies, clinics, and psychologists with a unified, secure workspace to manage every step of the psychological evaluation process from intake and scheduling to assessments, reporting, and follow-up services supported by AI-assisted workflows.
Unlike today’s fragmented workflows across emails, spreadsheets, and manual coordination, the system streamlines:
•    Candidate intake and verification
•    Conflict checks and compliance
•    Proctored PAI assessments and interviews
•    AI-assisted report generation
•    Credit-based billing
•    Secure messaging and communication
By leveraging AI and automation, the platform ensures faster turnaround times, consistent and compliant psychological evaluations, and data-driven insights that help agencies make informed placement decisions improving candidate experience, reducing delays, and ensuring ethical practices.

The project aims to develop a web-based dynamic survey platform designed to capture consumer lifestyle preferences and habits. The survey will consist of four sections with approximately 20 questions and will incorporate conditional logic, ensuring that questions adapt based on user responses. If a respondent selects "yes" to a specific question, additional relevant questions will follow, while a "no" response will allow them to proceed to the next section. The survey should be easily accessible via email invitations or be completed directly by operators, ensuring flexibility in data collection.

The system should support data retrieval, reporting, and potential integration with marketing automation tools, making it a scalable and user-friendly solution for consumer engagement.