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Ejenta automates remote monitoring and remote care delivery, using AI technology exclusively licensed from NASA. “Intelligent agents” learn from connected devices and EMR data to monitor patients, predict health and connect care teams. Accelerated by the pandemic, Ejenta is rapidly expanding deployments with leading health providers, academic medical centers and payers across the U.S.

Ejenta - HLTH 2021 Sponsor

EchoCare developed a non-wearable and non-privacy invasive, elderly-care home monitoring system that automatically detects and alerts on various emergencies, abnormal situations and a potential health deterioration at home.  The ECHO system is a cloud connected solution that detects various falls, respiration distress, drowning in a bathtub and other abnormal situations.  In addition, it indicates on a potential health deterioration by monitoring and analyzing the person’s daily activities. The system is based on a unique radar, followed by AI/ML engines. It does not compromise the senior’s privacy and single device can cover a nominal senior apartment (including through walls).

Echocare Technologies Ltd - HLTH 2021 Sponsor

Edamam structures and organized food and nutrition data and sells it to businesses in the food, health and wellness sectors. The company’s clients include leading brands such as Nestle, Amazon, Food Network, Microsoft, Barilla, McCormick, and Tyson. 

Edamam’s mission is to organize the world’s food knowledge and help people make better food choices, ultimately improving their health, longevity, well-being and happiness. Aiming to reach people everywhere, Edamam has chosen to pursue a B2B path, looking to partner with businesses where people go to buy, order, get informed or inspired about food. Edamam’s customers include restaurant and catering companies, population health providers and corporate wellness programs, behavior change and personalized nutrition apps, food media and manufacturers.

Edamam’s core value proposition is the ability to provide highly accurate diet and nutrition data at scale, which cannot be obtained by the traditional means of hiring a nutritionists or doing chemical analysis. The company’s solutions save clients both time and money. Edamam’s unique offering relies on its innovative technology: semantic data organization, in-house developed Natural Language Understanding (“NLU”)  capability for the food space, Machine Learning (“ML”) and other proprietary algorithms to analyze and organize unstructured data.

In the process of offering its services, Edamam has built the largest database of meals and nutrition in the world with over 5 million recipes and 850,000 foods all analyzed and tagged for every nutrient, allergen, lifestyle diet and chronic condition. This unique database is constantly being expanded and updated by the Company.  The ultimate goal for Edamam is to have deep, accurate nutrition data for every meal ever prepared, sold, or eaten .

Edamam LLC - HLTH 2021 Sponsor