Gladiator Legends

About Gladiator Legends

The old adage “Everything is Bigger in Texas” does not refer solely to the state’s massive geographic size, which, at 268,820 square miles, ranks as the second-largest state in the US behind Alaska.

Instead, the phrase embodies the ethos of the Lone Star State, where Texans demonstrate a sense of pride and identity that exemplifies the state’s outsized persona. As event contracts proliferate, the adage could be applied to prediction markets, where volume ranks among the highest in the nation. Last Sunday, for instance, trading activity for an NFL matchup between the Dallas Cowboys and the New York Giants topped $208 million across US markets, figures from Aldrin Research show. At Kalshi, volume for the NFC East showdown on Sunday Night Football eclipsed that of any NFL regular-season game last year.

The volume is not only seen across NFL markets, but also on those in college football, which is practically a religion in Texas. When Ohio State faced Texas in a Top 5 matchup on 12 September, volume surpassed 50.7 million contracts traded, according to Odds Shopper, a prediction market tracking site. The robust activity set the stage for an intense legislative hearing three days later in the Texas Senate.

About Gladiator Legends

In an announcement on Tuesday, the parties said the agreement was “focused on supporting the continued development of sustainable, responsible and commercially viable regulated gambling markets across Africa”.

SmartSoft maintains an established and growing presence in Africa, having also co-hosted the iGB L!VE Africa Summit in July.

Through its membership with AiA, SmartSoft will participate in events such as regulatory discussions, strategic roundtables and research initiatives, alongside other operators and suppliers in the market.

What is Gladiator Legends?

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.

“During the hybrid period in Q1, Cubeia solved 259 issues. Once it moved to the AI-driven process, that figure rose to 421 – a 62% increase. Larger projects increased from 17 to 58. So the answer is yes: moving to AI-driven development has increased our output tremendously,” Grenstad says.

But the more important question now is what Cubeia does with that capacity. “Because we’re not spending as much time coding, we’re spending more time on the business: talking about value and understanding the domain,” he says.