BluMaiden is a human microbiome biotechnology company focused on building the largest microbiome, health data and analytics platform to set new standards of consumer and patient healthcare. Our experts have combined the power of AI-powered analytics and population-scale, clinical grade, precision health data, to advance the development of next-generation consumer healthcare technology and microbiome-derived therapeutic compounds for devastating diseases with high social-economic impact.

Babypass^® is an entirely new digital health experience. This is our first consumer health product leveraging  the BluMaiden technology platforms. This is an, an all-in-one family digital health experience and not just a test kit. With Babypass^®, we solve major problems for:

+ For consumers: fostering better family health to pass on to the next generation, managing health and disease risk on a single platform, video health consultations, expanding community network

+ For healthcare providers: easy, direct and efficient access to consumers and patients for health consultation by nutritionists, health coaches, and medical practitioners. Added microbiome and health insights to add value to consultations

BluMaiden is leading and partnering with biotech companies on new clinical studies to translate health and disease insights. Complexity has been a major limitation for new healthcare solutions, but at BluMaiden we apply multiple platform technologies to solve complex problems too large for a single technology platform.

Started with clear business problem and objective, we are building a team of expert data scientist, data engineers, and partners to develop a future-oriented data analytical platform with high security and scalability for storage and computing power, named DAISY^TM and Keystone^TM. These incorporate our proprietary, industry-leading functional metagenomics, machine learning, and big data analytics for various applications including biomarker and functional molecule discovery, all of which are fueled by the high quality and quantity data collected from Babypass line of products and services. We believe that this approach will overcome common challenges faced by big data analysis including data availability and quality, domain expertise, data security and scalability.