Every project starts with us working out what data we will need for the content project, obtaining that data and building efficient databases to store and extract it from.
We use neural networks and reinforcement learning to extract knowledge from raw data. This includes creating predictive models and discovering what information the end users need to know.
Explanations by NLG
The final part of our pipeline is to convert our analytics into natural language to provide content for human readers. These explanations can be supplemented with automated charts and graphics for use on websites and social media.
Our inaugural platform is FrogTheGambler.com. The platform generates over 4,000,000 words of unique content each week. FROG.AI writes previews, draws and describes key statistics, and looks for positive expected value betting predictions on up to 2,000 global football matches in a single day, while also promoting a socially responsible gambling message.
Days Since Launch
The FROG.AI API can provide content for long Natural Language Generated articles, short form NLG comments, social media comments and graphics as well as charts.
Please email us if you have any questions about our proprietary technology and how we may be able to help you create scalable automated content.
email : firstname.lastname@example.org