We built the tool we wished existed as fraud analysts.
Fomo7 started from a simple frustration: single-account fraud rules kept missing rings that were obvious once you drew the connections between accounts — but nobody was drawing them in real time.
What we believe
Fraud and bonus abuse in gaming rarely comes from a single bad actor. It comes from coordinated groups exploiting the gap between how platforms see "an account" and how abuse actually organizes itself — across accounts, devices, and payout destinations.
Treating every case as an isolated account means you're always one step behind. Treating it as a graph problem means the tenth account in a ring lights up the same cluster as the first.
Who we work with
Risk, trust & safety, and fraud operations teams at sweepstakes, iGaming, skill-gaming and daily fantasy sports platforms — from teams standing up their first fraud program to established operators replacing rules-only systems that can't keep up with promo velocity. See what we cover per vertical on the solutions page.
Graph first, rules second
Most fraud stacks start with rules written against a single account: too many logins per hour, too many bonus claims per week, a mismatched billing address. Rules like that catch the least sophisticated abuse and miss everything coordinated, because a well-run ring keeps every individual account under each threshold on purpose.
We start from the opposite direction: build the graph of how accounts, devices, payment methods and referrals connect first, then apply detection logic to the cluster a signup belongs to — not just the signup itself. Vertical-specific rule packs sit on top of that graph rather than replacing it, which is what lets the same core engine handle sweepstakes redemption abuse and DFS lineup syndicates without being rebuilt for each.
That ordering matters for a practical reason: it's the only way to catch a ring's first few accounts as easily as its fiftieth. A rules-only system gets better at catching a ring only after it's grown large enough to trip individual thresholds — by which point the platform has usually already paid out.
See how this plays out mechanically — signals ingested, real-time scoring, the investigator workspace — on the platform page.
Want to talk to the team?
We're happy to walk through your current promo abuse exposure.