Inner Analytics has announced the launch of its new computer vision technology that enables patients to conveniently manage nutritional intake by

using a smartphone camera. Inner Analytics will roll out the tool to clinicians this year and expects to expand into new markets in 2020.

Inner Analytics will customize and deploy its technology with Cleveland Clinic Canada, providing patients with a new method to accurately track nutritional intake

by simply photographing their meal. The technology uses computer vision to provide real-time feedback to the patient, while generating evidenced-based reports

for clinicians to create personalized dietary treatment plans.

Inner Analytics has worked closely with Cleveland Clinic Canada’s team of registered dietitians to tailor the platform to work with patients who are interested in preventing and

managing disease.

“We want to empower people to live healthier, happier lives, and knowing what is in the food we eat is such an important part of that mission,” said Elizabeth Choi (pictured), CEO

of Inner Analytics. “Our technology brings scienti c rigor to nutrition tracking, allowing patients and clinicians to have con dence in the information and, ultimately, enabling

them to make the right decisions for their health and well-being.”

Inner Analytics exclusively licensed patents and technology from ISF Incubator, the start-up arm of Intellectual Ventures.

“Inner Analytics is using intelligent technology to provide patients with important information about their health, and we’re excited to support their mission,” said Conrad

Shelton, director of new ventures at ISF Incubator. “By applying computer vision to dietary management, the Inner Analytics team is poised to make a signi cant impact on the

rapidly growing digital health and wellness space.”

Inner Analytics initially launched a related application in 2015 through a collaboration with The Hospital for Sick Children (SickKids) in Toronto to help children and adolescents

with type 1 diabetes manage their disease and count carbohydrates with the help of machine vision.

The collaboration involved a multi-phase clinical research study to test the ef cacy of Inner Analytics’ technology and led to a pilot randomized control trial that was funded by

the Physicians Services Incorporated Foundation. The pilot trial is expected to be complete in 2020.