Contact us
Step into the future The real need Feel the change

Step into the future. Be a pioneer.

Sweetch is a game-changing platform that predicts diabetes risk and drives long-term behavioral change to prevent diabetes in a way never seen before.

Steers data into action.

Sweetch proprietary machine-learning algorithms predict personal diabetes risk up-to 7 times more accurately than clinical evaluation.

Feel the change!

Sweetch mobile platform drives long-term personalized and adaptive behavioral change through data driven predictive models.

Pre-diabetes icon

What is Pre-Diabetes?

Pre-diabetes is a state in which blood glucose levels are higher than normal but not yet high enough to be diagnosed as diabetes.

79 Million U.S. and 63 Million EU adults are pre-diabetic. 70% of these will convert to diabetes in 7-10 years. Currently, there is no platform or model to predict individual likelihood of conversion within a given time horizon.

Diabetes effects icon

What can Diabetes do?

Diabetes is the leading cause of heart disease, stroke, kidney failure, non-traumatic lower-limb amputations, and new cases of blindness among adults.

Diabetes costs icon

The cost of Diabetes

While a diabetic patient costs $9677 per patient per year, pre-diabetic patient costs only $443 per patient per year. Total yearly cost of diabetes is $194B in the U.S. and €101B in EU.

What we've done icon

What has been done so far?

Achieving 150 active minutes per week has proven, in large clinical trials, to reduce pre-diabetes to diabetes conversion by 58%.

Though very effective, wellness intervention wasn't deployed on large scale due to high cost and scalability challenges.


this is where Sweetch steps in to be a game-changing solution.
Sweetch was developed as a platform for any large-scale clinical outcome prediction, and personalized, data-driven, wellness prevention intervention in the most cost-effective patients. Diabetes is our first use case.
Join us button
Sweetch app demo screen

Meet our team heading
Dana Chanan image

Dana Chanan

CEO

Extensive experience in leading product divisions with focus on consumer behavior, user experience and engagement through gamification. Previously, executive team member at Playtech, 888 and Snaptu.

Dan Lichtenfeld image

Dan Lichtenfeld

CTO

Seasoned technology entrepreneur with extensive experience in developing digital engagement channels. Lead the development of the m-Health and m-Banking solutions in Maccabi Health Services, Janssen (subsidiary of J&J), Bank Hapoalim and Bank Discount.

Maytal Saar image

Maytal Saar Ph.D.

CSO (Chief Science Officer)

Key opinion leader in machine learning and data mining for data driven decision-making and predictive modeling techniques. Maytal serves as an Associate Professor at the University of Texas at Austin, an editorial board member of the Machine Learning Journal and is an Associate Editor at the INFOMRS Journal on Computing.

Yossi Bahagon image

Yossi Bahagon, M.D. M.B.I.

Chief Medical Officer & Business Development

Clinically active Family Physician, key opinion leader on e-Health, m-Health & Tele-Care. Founder and former manager of Clalit Health Services Digital Health Division, one of the largest e-Health platforms in the world.


Keep in touch heading