The idea for the Live Learn Innovate Foundation LLIF was from observing loved ones struggle with ongoing challenges that they should not have had to endure or that could have been avoided if more was known or understood about the patterns around a single symptom. Our goal is to automate the recording of our lives to enable insights that lead to informed decision making.

How did LLIF come to be?

LLIF originated in 2013 when trying to track my son’s seemingly random crippling migraines. As a college student, we found written or spreadsheet logs unfruitful in isolating the cause. Overtime, our efforts led to a guess that the cause was rooted in rate of change in barometric pressure. In 2015, my son scoped an Echo skill but we stopped pursuing when his migraines stopped. A few years later, my sister learned that a lifetime of ailments (chronic fatigue, intestinal, Epstein-Barr, etc.) were in fact a wheat allergy unbeknownst to repeated domain experts who focused on treating symptoms. Anyone that digitally tracked food group level food consumption and symptoms would have been able to self identify the correlation. At the same time, our co-founder Dave Frampton departed Cisco to start security analytics company FactorChain which was later acquired by SumoLogic evolving the offer into a Security Information and Event Management (SIEM) system. Our personal experiences led us to conclude that people need a non-profit based centralized digital repository of a person’s real-time condition that includes activity and environment from which one can baseline, learn, and innovate. Learning and innovating will not be specifically healthcare related but instead may be focused on improving productivity, identifying probable allergic conditions, improving sleep, etc.

What is your goal?

We believe that existing data aggregation efforts miss the mark as they serve healthcare providers, health insurance companies, or seek profit from data. Our data has evaporated from its creators and rightful owners. Our goal is to create a safe place for our members to easily reacquire their data to its rightful owner, provide backup in the event the possessing company is hacked or fails, provide basic analytics, and create an opt-in platform for learning as a community, while enabling for profit domain expert businesses to enhance our value with innovative analytics. The broader goal is to move society from the data economy where possession is the value to the data analytics economy where insights are valued.

Who is your target market?

Our target market is everyone, but the initial focus is on those that have chronic symptoms and optimizers. For optimizers, our target will be them, their parents, or their children.

Why did you choose to pursue LLIF as a non-profit?

We had a choice of for-profit, B corporation, or non-profit. We lived the birth and adoption of free Internet services not realizing that we were the product. Big data cloud service providers know more about us than we know about ourselves. We are not trying to stop them from knowing us rather facilitate a platform for us to know ourselves at least as well as they know us. We did not want to be incented to pursue shareholder Return on Investment (ROI) like big data, healthcare, or insurance companies. We considered a B corporation but were concerned that even with the best intentions, we could be acquired by a company with different intentions. As a result, we chose a non-profit because it is owned by the people but can also not make a profit nor be sold.

What needs will LLIF fill?

The Live Learn Innovate Foundation (LLIF) fills several unmet but related needs. Our tactical goal is to enable members to securely aggregate their personal data from many sources to a not-for-profit multi-tenant cloud repository akin to a cloud version of our home file cabinet. With that data, we will provide basic analytics, queries, visualizations, reporting, and notifications to promote individual and community wellness. We will then offer members an opt in ability to expose their data to domain expert organizations (referred to as Innovators) to accelerate innovations. Lastly, we will build a sustainable not for profit data marketplace of member consumers and private product companies rooted in individual privacy and control that will enable product businesses to target advertising to members only if they opt in. The product or service business will pay the LLIF member consumer to receive their ads proxied through the platform. The platform will apply a transaction fee that will go toward building and operating the platform. Any business (pharma, healthcare, DNA, university, etc.) that is granted access to a member’s personal details will be required to accept an End-User License Agreement EULA that specifies use case and distribution. Each phase solves a need from supporting more proactive personal and community wellness to an alternative data platform leading to data analytics innovations. Rather than innovation being constrained by platforms that hoard data for profit and competitive advantage, LLIF will create an environment of community and sharing for benefit. By returning data into the possession of people, LLIF will help move our economy from the data economy where data is the “The New Natural Resource” to the data analytics economy where companies generate value and profit based on the analytics and insights they provide from data.

What is your Minimum Viable Product MVP?

The initial Minimum Viable Product MVP will be a scalable secure multi-tenant capable logging platform that will collect time, location, environment, activity, sleep, heart, and weight data from other clouds in addition to a smart speaker voice interfaces. The underlying technology will be re-purposed from Information Technologies (IT) security and networking industry. In IT, a Security Information and Event Management (SIEM) is used to monitor and baseline network, security, and application infrastructure to better operate and troubleshoot outages, attacks, and performance issues. The leading open source software products are Elasticsearch to store data and Kibana to provide analytics and visualizations. The user experience will be to log into a dashboard at my.llif.org and create connections to the cloud data sources like FitBit, Google, Amazon, etc.. LLIF will use API’s to acquire data when we can and web crawls when we must. When available, we will also offer a means to load historical data from cloud takeouts/downloads. The voice skill will enable LLIF member to verbally generate events using an invocation like ‘life log’ (or similar) for simple events like symptoms (migraine, headache, diarrhea, pain, etc.) and dating (basic food groups, drinks, supplements, medicines). For example, to log a symptom, a member would say “Alexa”, “life log” diarrhea, headache, stomach, migraine, etc. To log what a member ate, the member would simply say “Alexa, life log I ate turkey, ham, cheddar, almonds, and edamame.”