frog.ai uses the latest machine learning techniques to analyze data and create automated content. Using proprietary technology, frog.ai generates and distributes output of higher accuracy, at scale, with greater insights and at a fraction of the cost of human-written material.
Our advanced AI capabilities ensure fast and agile content creation. With frog.ai, you can expect content generation with unmatched speed, accuracy, and agility.
frog.ai offers cost-effective solutions for automated content creation. Our AI-driven approach helps in significantly reducing expenses while maintaining high-quality output and scale that is almost impossible with legacy content creators.
Create evergreen long-form content, or real-time short-form content with the third generation of StoryTeller, the proprietary platform that underpins all frog.ai content.
In 2019, frog.ai announced the release of its pioneering NLG content creation platform. StoryTeller was trained on millions of rows of data and produced human-sounding analysis and previews on global football.
At its peak, StoryTeller writes in excess of 5,000,000 words of content every week. In 2024 it hit the landmark of one billion words of content since inception.
It's first placed Paris SG welcoming 18th placed Metz in this Ligue 1 clash as the home team looks to add to the 52-point gap between the sides. It won't be long after this gets underway before the visitors find themselves trailing. The total expected goals for this fixture is pretty high so this could be entertaining.
The odds-on Paris SG price might not be jumping off the screen but it's a compelling bet to consider. If they produce even a glimpse of what they are capable of it will still be too much for Metz. The hosts are coming into the match with 16 home wins from their last 20. It would be a stone-cold shocker if the home side were denied the win. Paris SG have been enterprising. Their recent 8 matches have resulted in them hitting the net an average of 3.3 times per game.
Metz don't have a great record in defence away from home, conceding an average of 3.0 goals in their last 4 matches away from their own turf. But their problems don't seem to be just in their defensive line. The visitors have not been able to fall back on their strikers in some of their recent engagements. They've scored one or less goals in 18 of their last 20 matches. The hosts have won the last 11 matches between the two sides in this match-up. This looks like a good time for them to add to the head-to-head. It is highly unlikely they will fail to do so.
It might all be quite predictable. The hosts have passed bigger tests than this and it would be a huge shock for them not to justify their short price. They just won't expect to lose. Their finishing has been clinical in some of their recent showings. That should make the difference. Most observers believe that neither side will keep a clean sheet during this match despite the clear favouritism for Paris SG. However the odds-against for the No BTTS is actually the smart play from that market.
StoryTeller 2.0 introduced the ability to create long-form and short-form content in real-time. frog.ai was fortunate to work with some of the leading global sports data companies in conjunction with the new version of the NLG platform to create a world-first play-by-play commentary service for live tennis and cricket.
A Sinner 136mph first serve goes to the Alcaraz backhand, who is returning from deep. Alcaraz's short-slice return isn't effective.
Sinner now goes for a good-looking forehand at 92mph up-the-line, targeting Alcaraz's outstretched backhand. After making the first serve Sinner then moves up in the court to shorten the point on his own volition.
The fourth stroke of the rally has Sinner defending his position at the net having advanced up in the court. Alcaraz plays a slice backhand but it's not a great shot. Taking the ball on from the middle-third of the court makes him think he has options but that will be all she wrote for this rally.
With the fifth shot of the exchange Sinner hits a drop-shot forehand volley winner from an attacking position to claim the point. Tremendously soft hands on display there.
Super-impressive tennis by Sinner throughout this rally. An outstanding serve backed up by two high-quality shots.
Game nine in this final set goes to Sinner. We're on serve as we move towards the business end of the match.
In the summer of 2024, frog.ai completed the development of StoryTeller v3.0. Cutting the already low integration timeframes in half and now capable of creating content on any domain, frog.ai can now provide summary analytics, long-form articles and short-form text summaries for your business.
frog.ai is a Brighton & London based full-stack automated content creation company. We use the latest machine learning techniques to collect and analyze data and create automated text and statistical content from that data, at scale. frog.ai currently creates over 5,000,000 words of unique, error-free, human-level written content every week.
Chris earned his undergraduate degree in Management Science from the University of Southampton before becoming a professional gambler for over a decade. He recently obtained a Masters in Evolutionary and Adaptive Systems from the University of Sussex before co-founding frog.ai. Chris specializes in building our prediction models and overseeing our platform development. His areas of expertise are deep neural networks and reinforcement learning.
David studied Psychology and Applied Statistics (BSc) before embarking on a career that took him from the city, via online sports journalism, into product development in sports betting and trading. He has been a regular speaker for various industry programs, most recently at AMOS Sports Business School. He is responsible for commercializing frog.ai’s proprietary technology and its NLG training processes.
Guy Rogers, co-founder at FIVEYARDS
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Imran Bukhari, Entrepreneur Scalable Technologies
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