Venture Capital backed ($5M raised) About our company Key leaders Founded in 2013 18 employees Venture Capital backed ($5M raised) Offices in SF, London, and Singapore Technology focused with deep clinical and design expertise Adam Odessky Dr. Ivana Schnur Co-Founder / CEO Co-Founder / Chief Medical Ryan Connolly Cathy Pearl CTO Director of UX

5% of chronically ill patients consume over 50% healthcare costs The problem? 5% of chronically ill patients consume over 50% healthcare costs

Molly is an artificially intelligent virtual assistant and chatbot who acts as a medical companion and monitor for patients Meet Molly. speech recognition images and video text to speech EHR integration machine learning device integration

Sensely in Action Watch Sensely’s Chronic Care Remote Monitoring Process by clicking here.

How Sensely works – post discharge follow-up Patient discharge and enrollment Patient completes daily check-ins from mobile device Nurse is immediately notified of high risk readings or behaviors On-demand patient education and self-care advice Telemedicine and direct appointment booking

How Sensely works – triage to contact center Patient reports symptoms, medications, and ancillary information to Sensely. Sensely calculates risk and directs patients to 1 of 4 targets Go to Emergency Room Telemedicine visit with nurse Schedule appointment with clinician Self-help information

Support for many wearable devices Molly can assist the patient with a variety of wireless bluetooth medical devices Blood pressure cuff Scale Glucometer Pedometer Pulse oximeter Device can be controlled by the app, with readings automatically recorded & sent to clinician

Conversational AI Platform for healthcare Long term vision Conversational AI Platform for healthcare Patient engagement, healthcare companionship, and telemedicine AI expert systems in next generation human/computer interaction mediums

Industry leading Customers and Partners

Making Molly smarter MULTI-SENSORY INPUTS Natural language interpretation Button presses, pictures, audio Vital sign readings from BT devices Exercise and sleep data Usage patterns

Project 1: Patient Insights Why is the patient non compliant? Is the patient’s exercise correlating with weight loss or general wellness? Is the patient eating a healthy diet? How’s the patients heart rate, weight, and blood pressure doing over time? Is the patient doing special exercise like climbing floors, running, or biking? How is the patient’s sleep quality and how does it compare to weight, blood pressure, exercise, etc.. How does this patient compare to other patients in similar categories When are patients most likely to interact with the app How are the patients’ mood and happiness levels compared to other metrics

Analysis of record in real time to produce insights Project 1: Insight DB Framework Creation and updates of personal patient record from existing data in real time Check in times and conversation history Personal and family history Classification of speech data into record Vital sign history Exercise / sleep history Analysis of record in real time to produce insights Goal of Molly reporting a new insight to patient and clinician once a day

Project 2: Artificially Intelligent Health Assistant I’d like to schedule a GP appointment between 3- 6 PM on Tuesday I have a headache and fever. What should I do? Are my lab results ready? Show me my blood pressure chart Where is the nearest pharmacy? Tell me about cancer Avatar Interface Chatbot Interface

AI Classification and Learning Engine Selection / Combination Project 2: AI Health Assistant architecture Patient Input Picture Voice Health Device Text Input Button Response Sense.ly AI Classification and Learning Engine Multimodal Output AI Engine Selection / Combination 3. Confidential and Proprietary

Awards and Recognitions WIRED Healthcare Pitch Winner, May 2016 Exponential Medicine Best Startup Pitch, November 2015 IBM Watson Developer Challenge Finalist, September 2014 American Heart Association Judges Choice Winner, November 2014 Nuance mHealth App of the Month May 2013 Allscripts Open API Challenge Winner, 2013

Thank you! adam@sensely.com @sense_ly