Posts Tagged 'Surewire'

The Missing Guardrail for Non-Deterministic AI: Highlights from the SureWire™ Beta Unveiling

April 14, 2026

Last week on Wednesday, April 8th, 2026, Inflectra officially unveiled SureWire™ beta, the world’s first quality assurance (QA) platform designed specifically for the era of AI agents. Hosted by Inflectra CEO Adam Sandman, CTO Simon Bor, and Global Head of Partnerships Jessica Moore, the event highlighted a critical shift in the tech landscape: the evolution from basic digital assistants to sophisticated, collaborative systems of autonomous agents.

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13 Things Traditional QA Can’t Catch (But SureWire™ Can)

April 13, 2026

Following our recent SureWire™ beta launch event on April 8th, 2026, we have seen a significant surge of interest from teams eager to move their AI agents into production with confidence. Relying on inconsistent performance is an unacceptable risk that traditional, static QA tools are simply not built to manage, especially in high-stakes regulated industries. We developed SureWire to solve these challenges by scaling your expertise through specialized testing agents that proactively probe for adversarial risks and auditability.

To provide more clarity on our mission, we have compiled the 13 most common questions we received during the event about how the platform works.

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AI Testing Has Entered a New Era: Adam Sandman on TestGuild Discusses Non-Deterministic Systems and SureWire

March 16, 2026

Artificial intelligence is rapidly changing the way software is built, tested, and trusted. On a recent episode of the TestGuild Automation Podcast, Adam Sandman, co-founder of Inflectra, joined Joe Colantonio to discuss one of the most important quality challenges facing modern software teams: how to test non-deterministic systems. The conversation explored why traditional pass/fail approaches are no longer sufficient for AI-enabled applications, how quality teams need to think differently about risk, and how Inflectra’s upcoming SureWire product is being designed to help organizations move from AI experimentation to enterprise-grade reliability.

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