**Health Platform**
- The analytical tools being developed by factiii can be used in multiple verticals and then individually monetized and sold. For example, factiii is designed to track information. We can use this tech to track a user’s health metrics then apply some AI to provide health insights based on all this data.
- 2023 wellness market $328B [https://rwadvisors.com/wp-content/uploads/2023-US-Wellness-Industry-Outlook-Updated.pdf](https://rwadvisors.com/wp-content/uploads/2023-US-Wellness-Industry-Outlook-Updated.pdf "")
**Algorithms for people**
- Social Media business models require max enaggament which brought about the development of AI based content suggestions. As it turns out polarizing content tends to get better engagement so these algorithms have a tendency to polarize people. We can differentiate ourselves initially by adopting less polarizing alogrithms as well as making people aware of their content engagement metrics.
- Facebook market cap > $1T it makes money by engaging people on its platform and then selling targeted ads.
**Privacy first tech**
- Big tech platforms see the value in users’ data. As a result, they have spent a lot of time to collect and monetizing this data. If a small company can come in and make its primary business to protect a users’ privacy then there is a large chance it can start a social movement that transfers large amounts of big tech customers to them.
- Facebook makes 97% of revenue from ads. They do not sell the data for these ads because then their customers would make their own ad targeting. This is also why they cannot compete with us. Their entire business model is based in collecting your data. If we base ours on tech privacy and can get consumers to recognize this then we can take a large portion of their marketshare.
**Intelligence platform**
- Large corporations have a monetary incentive to bias information to give themselves advantages. Now corporations have more data than ever along with more resources than ever to start biasing our own government. There is no platform dedicated to detecting these biases without defacto making themselves the arbiters of truth. Factiii’s moderation and bias detection tools are being designed to put users in the decision making process so we at factiii have less say in specific content that is removed. Our goal is maximum transparency.
- Our tools will make it so we can vet news in a trustworthy way. A few power users will be able to generate a lot of content. That content will attract more users and with time we can slowly start taking customers from Wikipedia and other social media platforms.
**Education Platform**
- Formal education is a $1.2T industry currently. It is shrinking 6%/year due to the informal industry taking root. With modern technology I am convinced we can pay students to become educated by minimizing the education model to include just the education materials and testing. We are patent pending for technology that will enable us to monitor and verify users are taking tests as well as the fact they aren’t a bot. Instead of funding a massive campus and thousands of administrators we just fund the maintenance of a platform where tests can be created and administered for students to prove they have the knowledge needed for the subject at hand.
**AI Transparency**
- Factiii uses a tagging system to corroborate sources. This same system can be used to allow AI trainers to label and store data. The entire OpenAI GPT-4 dataset can be stored on factiii and made available to anyone to perform research on. This makes AI training data transparent and enables the public more access into how these systems are trained.
