When an Energy Trading and Risk Management (ETRM) upgrade slips, the post-mortem rarely blames the upgrade itself. It blames testing.
Artificial Intelligence (AI) has changed how software is built. Code appears faster. Release cycles compress. Backlogs move. Most of our clients can point to specific features that landed in days rather than weeks.
Artificial Intelligence (AI) is fundamentally reshaping how software is built. Code is being generated at remarkable speed. Features are appearing faster than anyone expected. Release cadences that once felt ambitious now look leisurely.
Why Triangle’s self-evolving tests are a ‘game changer’ for trading platforms Most trading organisations don’t plan for test maintenance. It’s not in the budget. It’s not in the resourcing model. In fact, it’s rarely even recognised as a problem. Until it becomes one.
Most trading organisations don't plan for test maintenance. It's not in the budget. It's not in the resourcing model. It's rarely recognised as a problem at all, until it becomes one.
The slow leak: why testing becomes the thing that holds you back.
Most teams don’t set out to build ineffective test automation.
Test automation rarely fails because of the tool.
Manual testing has done its job. It just can't keep doing it at this pace. Trading organisations are moving faster than ever. New markets. Regulatory change. Valuation updates. Counterparty onboarding. Platform upgrades landing on a schedule the vendor sets. Every one of those changes carries risk, ...
Matching in testing isn’t guesswork - it’s structured logic at work. At first glance, Tinder, kidney transplants and software testing don’t belong in the same sentence. Yet all three rely on the very same thing: matching. And when the match is wrong - whether it’s two people, two donors, or two ...