Intent-based test generation

Describe the intent.
AURA writes the test, runs it, and keeps it working.

AI-generated code is widening the gap between what gets built and what gets verified.
Intent-based test generation closes it by authoring tests from plain-language intent and automatically keeping them current.

THE MOST TRUSTED NAME IN TESTING AND RELEASE ASSURANCE FOR TWO DECADES AND COUNTING

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SOURCE: Fortune 500 Pharmaceutical Company

SOURCE: COMMISSIONED TEI™ STUDY BY FORRESTER CONSULTING, 2023.

SOURCE: ESG ECONOMIC VALIDATION, 2023

before & after

What changes when AURA runs the release lifecycle

  • Expensive engineering time is wasted maintaining brittle tests
  • Test knowledge is locked in a few specialists, a key-person risk
  • Tests break when the application changes
  • Testing is the bottleneck: Features wait on coverage
  • No easy way to know whether manual test steps reflect what the business actually intended
  • Reclaim 80%+ of authoring and maintenance time
  • Empower anyone on the team to create tests, eliminating the dependency
  • Generate test steps from user intent that are resilient to UI changes
  • Scale test coverage at the pace of AI-assisted development
  • Trace every generated test step back to a stated business intent

SAUCE LABS AURA Platform

One platform with outcomes built into every layer

AURA operates across three pillars — author, test, analyze — spanning the full lifecycle from requirements through production monitoring. Each capability maps directly to an operational outcome.

Resources

The reading list for questions you know are coming

Report

Forrester Total Economic Impact™ study: Sauce Labs

217% ROI. $6.85M NPV. Payback in under six months. Risk-adjusted estimates for a composite org representative of interviewed customers.

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Validation

ESG Economic Validation

46% improvement in code push frequency. 75%–100% reduction in testing bottlenecks. $200K annual savings from hardware test farm elimination.

Download the ESG Validation

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Case studies, industry insights, guides, and more to help your team build the internal case.

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Yes. AURA authors tests from plain-language descriptions of intended behavior, then executes them across real and virtual devices. Engineers describe the outcome, and the platform writes and runs the test.

Anyone on the team. Non-technical contributors describe test scenarios in plain language, and AURA handles the rest. Engineers author natively in IDEs, trigger generation via API, or connect through an MCP server into tools like Claude Code or Cursor. Generated code saves directly to your local filesystem and fits into your existing CI/CD pipeline.

AURA generates tests from user intent rather than rigid step-by-step code, so tests stay resilient to interface updates. Maintenance is only needed when core application behavior changes, not every time a button moves.

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No, the Sauce Labs platform is framework-agnostic and additive. Your current suite runs as-is. AURA layers on top and fills coverage gaps. No rewriting necessary.

Authoring at natural-language speed lets coverage scale with the volume and variability of AI-assisted development instead of trailing it.

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AI coding only moved the release bottleneck. AURA removes it.

90%+ of authoring automated. 38% capacity back. No rewriting.