Feather Fury

What is Feather Fury?

“To this point, sportsbook product creation has largely been guided by a trading department’s ability to profitably price and risk-manage certain bet offers,” Lamb says. “AI trading lifts those limitations, while also enabling that existing human expertise to be leveraged more effectively.”

The 2026 tournament demonstrated why Kambi believes this total integration of AI is necessary. Sportsbooks are no longer built primarily around match results and traditional pre-match markets. Bettors increasingly expect to construct wagers around individual players and specific moments within a game.

The number of Bet Builder bets on the 2026 World Cup doubled compared to the 2022 tournament, with the increase particularly pronounced in-play, where seven times as many live Bet Builders were placed. They accounted for 22% of all live bets, compared with just 3% four years earlier.

About Feather Fury

This followed a period of restrategising for the operator, after rebranding from GVC Holdings and committing to having 100% of its revenues come from regulated markets.

But its share price has taken a tumble over the last year, dropping up to 37% since September 2025. Its market cap currently sits at £3.39 billion.

The operator first started trading on LSEG’s main market in February 2016 under its previous company name GVC Holdings. This followed its delisting from the Alternative Investment Market (AIM exchange).

How to play Feather Fury

Now, the focus is on what the company does with the additional capacity AI has created. Six months ago, Cubeia’s experiment was essentially about replacing human-written code with AI-generated code.

Since then, it has evolved into something broader: a different development pipeline, a different role for developers and quality assurance (QA), a different way of organising teams and, increasingly, a different relationship with customers.

Cubeia’s first phase was an open approach to AI. Developers could use it whenever they wanted. Phase two brought structure, with everyone using the same agents and working through the same AI-driven pipeline. That required Cubeia to solve questions around quality, reliability and how agents could work together, while getting employees comfortable with the new way of working. Grenstad believes that work has largely been completed.