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Cubeia is also moving away from the traditional process in which a developer builds something and then hands it to QA.
In the old model, Grenstad says, the product owner decided what to build, the developer decided how to build it, QA tested it and operations eventually handled the release.
As discussed last month, QA has become part of the process rather than a final stage. Product engineers consider from the planning stage what can be automated and what needs manual testing, while QA specialists now strengthen automation and identify gaps in coverage.
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The company has also pursued partnerships outside the normal financial media. Its deals include relationships with major sports organizations and entertainment properties, signaling efforts to integrate prediction markets into mainstream content and information services.
The conclusion of the Yahoo Finance deal comes as there is more talk about the use of prediction market data in journalism. Operators such as Polymarket and rival Kalshi have touted their markets as a way to get real-time information on how likely future events are to occur.
However, some media industry observers have questioned whether trading activity can reliably stand in for broader public opinion. There are also concerns among critics over the growing links between news organizations and prediction platforms.
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Financial advisors continue to urge consumers to view sports wagering strictly as entertainment and to only risk funds they can afford to lose.
Research from Stanford University published in April concluded that sports bettors remain “overoptimistic,” generally expecting to break even despite losing an average of 7.5 cents on every dollar wagered.
“Overoptimism is largest among bettors who partake in a complex type of bet known as a parlay,” the Stanford researchers wrote. “Compared to other forms of betting, parlays are more likely to be driven by bias.”
