Todd Rogers wasn’t a sports bettor before co-founding a AI-driven sports prediction startup.
But he saw an opportunity in evolving…and growing…space.
Alongside his Vanderbilt college classmate Conrad “Trey” Wredberg, Rogers just officially launched Moddy AI, an Atlanta-based platform helping more people get serious about their sports betting hunches, theories, and ideas.
The Problem Moddy AI Solving
Sports betting in the U.S. is a multi-hundred-billion-dollar market that has grown explosively since legal changes to the space in 2018. But the tools available to bettors have barely kept pace.
The average person placing a bet is either guessing or watching ESPN for pundit takes. Or, if they are particularly motivated, they are building their own complex spreadsheets.
On the other end of the spectrum, professional-grade prediction models require data science skills, custom data pipelines, and significant time investment.
Moddy wants to occupy the wide-open middle ground.
The platform lets anyone define a betting theory. If a person has an idea that how a team performs is based on their specific rest time, or how a quarterback’s passing volume shifts when they’re a road underdog, Moddy helps them turn it into a functioning predictive model. The platform integrates with historical NFL, MLB, and NBA data, and 126 million data points, to help creators build robust models.
Behind the interface, Moddy runs 38 different modeling algorithms to produce calibrated probability outputs. No data wrangling or data science degree required.
The difference with Moddy, Rogers argues, is accountability. Every prediction is timestamped and publicly tracked.
Building For Creators
Moddy’s has a two-sided structure. The platform’s “creators” build and publish models. A mobile app for bettors, planned for Q2 2026, will surface the best-performing ones to casual users who want data-backed insight without building anything themselves.
The platform is coming out of stealth with a $199 per month subscription model, which allows creators to build, launch, and track live models.
To grow in its early stages, Moddy’s team has been working with micro-influencer partnerships, a lean but increasingly effective playbook for reaching niche communities.
The company raised a friends-and-family round that Rogers says has them funded “for the foreseeable future.”
Why Now
Wredberg had been working on the underlying technology for several years before talking to Rogers about how to commercialize it. The timing, Rogers suggests, wasn’t coincidental.
“I don’t think you could have written this a couple years ago,” told Hypepotamus. “The way technology has evolved over the last year or two has made this possible.”
But it is also riding the growing wave of the creator economy and the sports betting industry.
Moddy doesn’t have a direct no-code competitor doing exactly what it does while providing historical sports data and public performance tracking in one place, the team added.
