Good day, everyone!
Straight to the pointWe`ve been developing a new solution to prevent mobile fraud for mobile publishers and agencies. Finally, we are close to commercial release.
Today we want to present our project to the community for feedback and questions, as we`re considering an ICO to raise funds to scale and speed up.
Some numbers first In 2015 mobile ad spends reached $64.3 billions and in 2018 this number to be almost 3-times bigger.
It the same time, almost $1 of each $3 spent on digital ads is fraud. 37% of advertisers say they are ready to pay 11% more for certified human traffic.
Fraud traffic and bot-installs related losses are estimated by market experts to be between 6.7 and 8.1 billion USD dollars per year in mobile industry.
Our solution could cut these losses by 40-50% - which mean 2.7 - 4.1 billion USD returned to publishers.
Market volume around fraud detection estimated as 20 - 100 millions USD yearly.
By second year of commercial usage we have plans to take 30% of the market with our technology.
Which give us 6-30 millions USD yearly.
The technology Our small but dedicated team : 2 founders(1 marketing and 1 CTO) + 2 devs + 1 math specialist + 2 part time machine learning specialists has been developing the solution to prevent mobile fraud for almost a year by now. We have deep understanding of the problem, as me and my partner both have been working for mobile gaming companies for last 6 years (in fact, Evgeniy, our CTO has 15 years of mobile development in background and Dmitry - it`s me - 12 years of digital marketing)
Our method is based on several studies and open patents (we had to change our tech a bit to bypass usage of current patent works). The physical possibility of our method is proven by scientific studies and works of independent scientists in US, China, EU. Mathematical basis of our technology is based on works of Russian, Ukrainian and US mathematicians.
Method itself based on harvesting non-personal behaviour data from the device and detecting human and non-human patterns with deep learning.
With current prototype we can detect up to 60-65% fraud and non-human installs. We need to scale our dev and analytic team and get more data for experiments and machine learning and archive 85-90% coverage.
Our plans We need to scale and launch commercial usage as soon as possible, as fraud is becoming a really big problem and lot of companies will enter this market. We monitor all new solutions and can say for sure that current ways of fraud detection are not accurate and criminals can bypass them
We plan to emerge our own coins, and each year convert all our profit to cryptocurrency to distribute between coin owners.
We`re preparing for ICO right now and i want to discuss with the community all questions and receive any kind of feedback you guys ready to provide.
Questions? Please give us your feedback and ask any questions you have about our project and our team. We want to launch an ICO and benefit whole community - as we will constantly invest our revenue in liquidity of cryptocurrency market and will distribute our revenue to the community!
You can ask questions here or contact us at
pre.ico@antifraud.mobi
