Two ways. Most AI testing tools speed up how fast you write and maintain tests, and traditional QA platforms exist to run those tests and catch defects before you ship. AURA works across the full delivery lifecycle instead of stopping at the release gate. Sauce Labs' platform extracts business intent, generates and runs your tests, correlates failures against nearly two decades of execution data, and keeps measuring production confidence after deployment — pulling intent-aware validation, AI-driven analysis, runtime telemetry, and release governance into a single view. Testing still matters. It just becomes one input into whether a release is safe to trust. 

Generative AI has changed how fast teams ship code. The systems that validate and govern releases haven't kept the same pace, and that disparity is where production failures come from. We call it the "innovation speed limit," the point where you're generating software faster than you can confidently prove it’s ready for production.

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Release assurance closes that gap, ensuring software remains trustworthy as code is written at machine speed. The more AI writes your code, the more that gap costs you.

AI gets better with scale and real-world history, and that’s exactly what we’ve built. Sauce Labs has run nearly 9 billion tests across browsers, devices, operating systems, and enterprise environments over almost two decades. Our founders created Selenium and Appium, the frameworks that a huge share of enterprise testing still runs on. More than 80% of the top 10 F2000 financial institutions and 25% of F2000 software and services firms trust us with what matters most. That historical expertise is hard to replicate and even harder to buy.

Instead of leaving you to piece together a dozen dashboards by hand, AURA continuously pulls signals from your tests, pipelines, runtime telemetry, production incidents, and code changes into a unified confidence model. With AURA, your team gets consolidated pre-production and runtime results plus AI-assisted risk analysis, so the ship-or-hold call is backed by evidence rather than gut feel. 

No. AURA is built around autonomous learning with human oversight. 

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Our AI handles the heavy lifting — large-scale analysis, prioritization, orchestration, and signal correlation — but the decisions that carry real accountability stay with your team, from risk tolerance to compliance sign-off to the final go/no-go on a release. You move faster without handing over control.

Yes. AURA is framework-agnostic — Selenium, Cypress, Appium, Playwright, and the rest all run as-is, no migration required. The platform plugs into your existing CI/CD pipelines and meets developers inside the IDEs where they already work, so there’s no context-switching between coding and testing environments and no new tool forced into the workflow. Sauce Labs adds capability on top of what you’ve built rather than asking you to tear it out.

More than you might expect, and you don’t have to take our word for it. A commissioned Forrester Total Economic Impact study found a 217% ROI, $6.8M net present value, and a payback period under six months — all risk-adjusted and independently validated. The Sauce Labs platform pays for itself inside a single budget cycle, before the savings from reclaimed engineering capacity and faster releases even compound. 

More than speed, enterprise software delivery also needs accountability and oversight that you can prove in an audit. AURA delivers that through unified quality intelligence and centralized release-readiness orchestration. On security, Sauce Labs holds ISO 42001 (the first and only software quality company to achieve this), ISO 27001, and SOC 2 Type II certification, GDPR and CCPA compliance, and global data residency options. Perhaps best of all, we don’t train our AI on your data. 

AURA validates across web apps, mobile apps, visual interfaces, accessibility workflows, real devices, virtual devices, and your CI/CD pipelines, built for enterprise stacks where delivery spans distributed architectures and increasingly complex customer experiences. And no, it isn’t limited to AI-generated software. AURA is built for AI-native engineering and also improves release assurance for traditional delivery across both manual and automated testing. If your team is dealing with a validation bottleneck, growing delivery complexity, or fragmented quality visibility, a unified approach helps whether or not AI wrote the code.