Decima’s development involved complex challenges across AI integration, health data synchronization, compliance enforcement, and personalization at scale. Combining Whisper STT, ElevenLabs TTS, and LLMs demanded flawless real-time processing, especially for consistent persona-driven interactions amid network variability. Continuous Apple HealthKit integration for sleep, activity, and biometrics required real-time normalization and advanced algorithms to generate composite health scores from inconsistent data. The platform had to enforce proprietary health protocols across billions of recommendation combinations. Preventing hallucinations in LLM outputs required strict prompt engineering and filtering. The admin interface supported on-demand persona creation, real-time updates, A/B testing, and behavioral customization — demanding innovative architecture for instant synchronization. Tasks were dynamically generated from user data and synced with Apple Calendar, adapting based on task completion tracked via PostgreSQL to match user capability and progress. Keywords extracted from chats guided Feedly-based content recommendations. Cron jobs and relevance scoring ensured alignment with users’ evolving health goals.

Kodexo Labs delivered a deeply modular, HIPAA-compliant health coaching platform powered by generative AI and real-time data analytics. The platform featured voice-based coaching that leveraged OpenAI Whisper and ElevenLabs to support dynamic, natural conversations with persona fidelity. It also included real-time health insights by normalizing and visualizing Apple HealthKit data using adaptive charts and scoring indicators. The system integrated with Apple Calendar to manage tasks dynamically, providing users with daily health tasks and reminders while tracking progress. An admin interface was developed for flexible persona creation, enabling A/B testing of coaching personas, allowing full control over tone and behavior. A content alignment engine was built to deliver personalized wellness content based on user behavior and health progression, utilizing keyword extraction and relevance scoring. The architecture was scalable and built with React Native, FastAPI, AWS, and PostgreSQL, designed for secure, mobile-first deployment.

The solution resulted in a 70% increase in user adherence. Personalized voice coaching and task reminders helped users stay engaged daily, improving adherence and ensuring consistent follow-through. A 60% improvement in data usability was achieved by simplifying health data with visual scores and behavior-based feedback, turning complex metrics into clear, actionable insights for better decision-making. Automated content delivery, adjusting in real time, led to a 50% faster content alignment, reflecting changes in user goals, behaviors, and health levels seamlessly. The platform also offered 100% admin configurability, allowing internal teams to manage coaching tone, logic, and metrics independently, eliminating the need for developer input in customizations.