Inito Fertility Monitor is an award winning patented fertility monitoring technology. It comes with a device attachment that can be connected to the smartphones and helps women to identify up to 6 best fertile days of their cycle. NickelFox designed and developed the iOS and Android Apps ovulation cycle by measuring Estrogen & Luteinizing Hormone (LH), by analysing the images of test strips, thereby giving highly accurate results as per user health metrics (99% clinical accuracy). It helps women to increase the chance of fertility by 89%. Inito’s patented technology coupled with Mobile App allows women to measure the levels of the key fertility hormones at home without going to the lab.
CII DESIGN AWARD 2016
INDIA DESIGN MARK
JAPANESE GOOD DESIGN AWARD
Funding Raised by INITO
Couples conceived using INITO
Inito needed iOS and Android Mobile Apps, with scalable and dynamic architecture, that can be customized to incorporate more test functionalities to be added in future. The Mobile Application needed to be paired with the Inito Fertility Monitor & Ovulation tracker device, and apply image processing to measure fertility hormones accurately. The measurements coupled with user health data, is analysed remotely to suggest the peak fertility days, to optimize fertility cycle.
We designed a user friendly App Design to guide users on How to Use the inito fertility device. We created Intuitive and simple UX for getting user health data.
We created a scalable Native Mobile Apps that could trace data from the ovulation tracking device connected to the smartphone, analyse images using image processing to measure fertility hormones accurately and convert it into human understandable insight & reports. Helping women to promptly track their fertility window.
We created a smart system that could trace data from ovulation tracking device when connected physically to a smartphone's camera and convert it into human understandable insight. This helped women to promptly track their fertility window. We also developed an eye catching, user-friendly iOS and Android Mobile Application.
3+ years of successful and ongoing engagement from the initial development phase.
It helped them interview thousands of women through form-filling and predict the emotional context of each customer using deep product data and anonymized customer behaviour data to deliver highly relevant and individualized experiences on e-commerce sites.
Quickly acquiring the seed funding for next phase of development, building investor confidence on the technology solution provided.
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