Big Data-Based Fertility Tracker Ovuline Now Integrates With FitBit & Other ?Quantified Self? Devices, Will Support Pregnancy Tracking Too

Ovuline, the big data-driven fertility tracker backed by $1.4 million in funding from Lightbank, Launch Capital and others, is today launching an upgraded version of its Smart Fertility product which now more accurately predicts ovulation, offering real-time feedback plus integration with “quantified self” devices like the FitBit and Withings. Company co-founder and CEO Paris Wallace had previously founded Boston-based Good Start Genetics out of his Harvard Business School dorm room – a company which, incidentally, just announced $28 million in financing. During his four years there growing the business, he gained a lot of exposure to the fertility space, leading him to tackle what he refers to as the “least talked about public health issue” in the U.S. There are now 7.3 million people (men and women combined) who are struggling to conceive in the U.S. alone, and it’s something they generally suffer through alone. With Ovuline, the idea is to give women the power to improve their chances at conception by going beyond traditional means, like basal temperature charting, for example. A number of services and mobile apps offer very basic tools to monitor and track a woman’s fertility, but these tend to be either arithmetic-based methods which make estimates based on a woman’s cycle, or those which offer digitized charts where women input data like their basal temperature and other factors. But Ovuline goes a step further. It allows for the manual entry of various data points which women working to conceive are already familiar with – things like basal temperature, cervical fluid analysis, ovulation test results, physical symptoms, mood, etc., as well as other metrics like sleep, weight, nutrition and activity. But now, through the integration with quantified self devices like the FitBit, it can also pull in some of this data automatically, like steps taken or sleep cycles, for instance. Since its beta launch in June 2012, the company has grown to over 50,000 users, who have provided the service with more than 2.5 million of these data points. This data is the critical piece to Ovuline’s true value in this space. It uses machine learning techniques and crunches big data, which in turn has helped to create proprietary algorithms which more accurately predict a women’s ovulation – meaning the best time to get pregnant. Now that it has data to build on top of, Ovuline can make real-time predictions immediately after a woman enters data

Source: http://feedproxy.google.com/~r/Techcrunch/~3/9Jex8zVoJCY/

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