The Friday Interview: Shai Rosen, Co-Founder as Suggestic
This week, we spoke to the co-founder of a business that’s trying to help the nearly 1 billion people that are affected by Type 2 Diabetes, Suggestic. The business believes it can, contrary to popular belief, help people to actually reverse a Type 2 diagnosis, but to find out more let’s get to Shai…
HI SHAI, COULD YOU PLEASE EXPLAIN WHAT SUGGESTIC IS?
Thank you Tim! Suggestic is a health technology startup focused on helping people with type 2 diabetes revert their condition by building and delivering personalized lifestyle programs from evidence-based interventions using artificial intelligence.
We start by mapping the person’s health by collecting different types of data (from labs and sensors) to create those customized programs and then apply machine learning to make it actionable and practical. As we gather more data, we iterate over the recommendations and their consequential results, making them more and more personalized over time for maximum effectiveness at the individual level.
We have built Suggestic to help individuals navigate a plan created around their specific needs, and remove the stress and complications of following a lifestyle program by providing actionable suggestions at the right moment and in the right place.
HOW DOES SUGGESTIC MAKE MONEY?
Suggestic’s service will launch as free for end-users. For our enterprise partners we already have corporate plans in place that offer additional features.
WHAT’S COMING NEXT FROM SUGGESTIC?
We have a long roadmap ahead of us with very exciting stuff, but all of our focus right now is in launching our first version as soon as possible. We are currently testing with a limited number of users and expect to open the doors for beta by the end of Q1 of this year.
To be part of our pre-release program anyone can sign-up at www.suggestic.com and we will let him or her know as soon as it’s ready for use.
WHAT DO YOU PERSONALLY TRACK ON A DAILY BASIS?
On a daily basis, I track weight, body composition, sleep (including length, heart rate, temperature and noise), air quality and steps. I have goals for each of those that I try to get to every day. In addition, on a less steady basis I track foods, supplements and blood sugar, plus different biomarkers from blood tests every 3-4 months. I would love to track more things, but it becomes increasingly more time consuming and expensive.
LASTLY, WHAT DO YOU SEE AS THE FUTURE OF SELF-QUANTIFICATION?
I strongly believe that the future of self-quantification, in terms of measuring, has to do with devices becoming more passive and invisible. The goal is to gather data that are more complex by doing less effort. An example I have in mind is mood. By looking at my own data, I see that I have small and constant mood changes throw-out the day, but it’s a hassle to track. A “smart” device could infer my mood and emotional states by listening to my voice, looking at my face and so on. There are many second and third level inferences that can be made from existing data.
Nonetheless, none of the above is worth anything unless we can actually make sense of the data and draw actionable conclusions from it. That’s actually what we do at Suggestic, we take all that piled up data and make it useful.