Gravity Earth will see its first deployment in the Kakuma refugee camp in Kenya. The Gravity Earth solution will monitor the daily attendance and academic performance of the student in three schools within the field. This technique is completely based on biometric data. The Web app helps teachers load their performance and test data.

How can it work easily?

Furthermore, Ebert says that the startup works in close contact with the NGOs to trace other data and indicators. These have a positive impact on the lives of residents in the field. Ebert also explains that everyone in the field is usually strangers from one another. So every bit of information gains a lot of value.

He also adds to it by saying that it can be anything like monitoring attendance at school or any basic identity such as age, a number of children in the family or languages are spoken, etc. Although data collection is challenging, but Gravity Earth allows third parties to provide and validate data. Motivated validators providing free airtime and mobile lotteries.

Basically, the purpose is to connect to third parties. Third parties such as financial services allow users to access banking, financial and other services in the coming days. This requires some sort of training on both sides. Gravity Earth has raised undisclosed funds to date, and could also raise VC capital in 2019. However, the company has no plans to manage an ICO.

He also explains that "We are not considering an ICO and we do not issue any tokens, but for us, the focus is on the product – the front end – because there are so many things to understand." How we drive adoption and keep committed our users? "

The company does not look forward to expanding its business. Explains Ebert "We will consider the new projects once there will be a critical number of users on the platform and we will have rich data profiles for users". It also elaborates "the thing we would like to pass is access to financial services for refugees – we also see this as a way to monetize and demonstrate our business model".

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