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.

An AI-first sleep improvement app that combines advanced algorithms with IoT devices to address issues like insomnia, early waking, and disrupted sleep.
AI models analyze sound detection (snoring, sleep talking, ambient noise) and a 2-week sleep diary to provide personalized insights, dream analysis, and tailored recommendations.
IoT integration with smart masks and wearables (Apple/Android watches) tracks SpO? in real time, triggering vibration alerts to prevent oxygen drops and support early OSA intervention.
Users can connect with sleep experts via AI-enabled chat, audio, and video, while providers manage appointments and communications through a dedicated web interface.
The platform follows a subscription model with free and premium tiers, enabling sleep diagnostic centers to deliver AI-driven insights, IoT monitoring, and expert support for better sleep health.

Solution is designed for an aesthetics clinic chain, allowing patients to browse multiple treatment options and packages based on their specific skin concerns.