A woman who was struggling would talk about the difficulty she was having with her family. One day she posted some photos of her family on a vacation and she said “I know you are not real, but I just wanted to share with you that I am doing better."

U.S. Department of Health and Human Services. Stndby does NOT give medical advice, and so is not subject to the compliance regulations concerning providing clinical or medical advice/diagnoses.

The opportunity with Stndby is to use the anonymous data responsibly to create research to better understand how to more effectively build a pathway to support for the tens of thousands of people who are suffering. This research would not only inform organizations such as the Center for Disease Control, but also direct the highest levels of government policy in its efforts to address the opioid epidemic. We can estimate the likely increase in a given outcome based on the better ability we have to both predict and, most importantly, to influence behavior. Validated psychometric data that understands long-term traits around -personality -personal and family history. A major discovery via the data was that a little over half of Stnby users were NOT people suffering from substance abuse but people looking to support those suffering (i.e a friend or loved one). This was a key finding in that not enough outlets, or research has been developed that focus on helping those looking to help.

Stndby gains user understanding through psychometric assessment (HEXACO model for personality structure), behavioral insight and NLP which then informs our proprietary CMS and recommends personalized content and learning modules. We are able to deliver tailor made curriculum to each user based on their current emotional and behavioral needs all while reinforcing progress through exclusive reward content. The emotional and psychometric data informed algorithms reorganize algorithms away from biased demographic data to deeply connected psychographic data, causing new habits to be fueled by oxytocin in addition to dopamine.

1. A one-time personality assessment ((HEXACO model for personality structure) builds the foundational understanding. This assessment is seamlessly woven in to the conversational experience.

2. Daily routines that gain pattern understanding by checking on energy levels, emotionality, triggers and stressors.

3. Stndby sends personalized support methodologies in audio, video, graphic and text formats, that deliver behavioral feedback, including progress updates. That allows us to see patterns and report back status updates.

4. This is turn completes the feedback loop for the machine learning the customize the conversational experience for each end user, and to predict which content relative to context (tone, sentiment, language) to offer up next.

Over three months

100k+ messages exchanged

Across 713 area codes

70% retention

Snapchat

1,713,548 impressions

815,337 video views

1. Stndby was used by individuals in 713 area codes. The majority of these area codes represented the more rural and isolated areas in the United States.

2. We discovered early after launch that over half the users were supporters of those suffering, so we quickly developed a "supporter conversational track" that addresses the nuanced needs of these often forgotten group tied to this epidemic.

3. The data also provided insight on new user experience functionality around increasing interactivity, such as journaling, which enhances the end users sense of connection, check-ins, which allows Stndby to check in with the end user.

4. On top of Addiction with the data findings the technology can be scaled to to also address: Parenting Fitness and health Marriage/relationship, Dating, Career, Pregnancy, Mental Health, and Stress Management

Stndby, a machine learning powered messaging platform —built with neuroscientists and clinical psychologists, launched the first custom chatbot that helps those affected by addiction through anticipatory wellness routines. The conversational interface collects data via the HEXACO model for personality structure, which conceptualizes human personality in terms of six dimensions. It then utilizes this data in real-time to personalize the experience to each end user. This allows Stndby over time to learn how to better interact with each end user without losing the context from interactions with previous content, and to anticipate what content will be most useful next.

Five things we are proving

1.We are willing to support each other if given a safe/easy opportunity to do so. Our P2P messaging is the first application of its kind to match users based on needs, compatibility and

like experiences

2. Machine Learning that tracks mood and personality can filter and distribute more

relevant content Granular psychometric data allows content, branded or otherwise, to be distributed to users with resonant timing, sending the right thing to the right person at the right moment

3. Positive behavior changes are possible through messaging technology. Zero barrier to entry, built in notifications system and no human judgment makes messaging a scalable medium to safely work out issues.

4. There is greater trust in safe, anonymized environments. When people feel safe, they are more willing to be open making it possible to capture real emotion, sentiment and insight, allowing for an unprecedented depth of personalization.

5. People will engage longer with emotionally aware technology. Retention rates and long-term relationships grow when people are rewarded for participating in something meaningful.