Sauce AI for Insights

Thousands of signals every build. Most teams never surface the right ones.

Sauce AI for Insights analyzes failures at the job level and tells you what actually broke, cutting root-cause investigation time by 90%+.

AURA: The Al-Unified Release Assurance platform

AURA platform diagram, Analyze stage highlighted
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Manual investigation is the hidden tax on every sprint

Every failed build pulls engineers into hours of log parsing, dashboard navigation, and cross-tool correlation just to answer one question: Why did this fail? It compounds with every build, every sprint, every release cycle. And it never shows up on the roadmap as a problem to fix.

OUTCOME

Hours of analysis — gone

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Shifting left is stalling without the right tools

Organizations are pushing quality ownership earlier in the cycle, but the tools have not kept pace. Without the right intelligence layer, quality bottlenecks reform upstream.

OUTCOME

Quality shifts left & bottlenecks stop

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Decision-making bottlenecks slow every release

When test data lives in dashboards that only QA can interpret, every release decision bottlenecks through one team. Developers wait for answers. Leaders make calls on incomplete data. Releases slow down not because of the code but because of who can read the results.

OUTCOME

Faster decisions, fewer release delays

before & after

What changes when AURA runs the release lifecycle

  • Hours of manual log parsing per failed job
  • No way to separate real bugs from flaky tests
  • Device failures discovered after release
  • Release decisions based on fragmented data
  • Senior engineers absorbed by failure triage
  • Multiple tools and dashboards to get one answer
  • Surface the root cause in seconds from a plain language query
  • Classify failures automatically at job and suite level
  • Surface cross-device patterns before deployment
  • Access real-time quality intelligence across every build
  • Redirect engineering capacity to feature delivery
  • One agent. Every testing question answered instantly

FEATURES

Key Capabilities

Automated Test Diagnostics Image

Automated test diagnostics

Query a failed job by ID. Get root cause classification, warning patterns, and fix recommendations instantly. No manual correlation.

Failure analysis

Aggregate failures by test name, identify common signatures, and surface the most pervasive patterns first. Prioritization becomes automatic.

Flakiest test case detection

Identify unstable tests before they corrupt your pipeline. See which tests fail inconsistently, on which devices, and at what rate.

Build trend intelligence

Track failure patterns across builds over time. Confirm whether issues are recurring and whether fixes are holding.

Device coverage details

Validate device coverage and surface cross-cutting failures. Recommend what to add or drop. No spreadsheets required.

Data visualizations on demand

Ask for a chart. Get one instantly. Bar charts and graphs generated directly in the interface. No export necessary.

INTEGRATIONS

Works with your existing stack — no rip-and-replace required

Integrations overview

IDE & AI tools

CI/CD pipelines

Test frameworks

PLATFORMS

Web

Real Devices

Emulators

Simulators

Value delivered across the SDLC

The world's only full-lifecycle release assurance platform

AURA isn't a point tool. It's a continuous system that spans the full lifecycle — requirements, build, test, analyze, deploy, and monitor — with autonomous agents at every stage and human oversight built in.

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AURA: the AI-Unified Release Assurance platform

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CUSTOMER STORIES

How a Fortune 500 pharma team went from days of setup to automated tests

The mobile testing setup required days of specialist work by senior engineers. With Sauce AI, the team eliminated the scripting bottleneck, enabling every engineer to contribute to test automation.

"Setting up mobile testing traditionally took days. Sauce AI turns it into an automated process anyone can navigate."

Director of Engineering

Fortune 500 pharmaceutical

SEE ALL CUSTOMER STORIES

Explore the full platform

Sauce AI for Insights drives AURA's analysis stage, where thousands of signals become one answer, and every answer makes the next release safer.

Sauce AI for Insights is a dedicated AI agent embedded in AURA that answers testing questions in plain language and delivers quality intelligence across failure analysis, build trends, device coverage, and flaky test detection, without manual log investigation or dashboard navigation.

General LLMs have no memory of your test history. They cannot tell you whether a test has failed 23% of the time across 14 builds, which devices are consistently failing, or whether a fix held across the last 10 runs. Sauce AI for Insights is purpose-built to understand the context of your test execution data, not a generic model.

Ask Sauce AI for Insights anything about your test data. Examples: "Which devices are causing the most failures across the last three builds?" "Show me trends for how my builds are performing over the past three weeks." "Give me a forensic analysis of my last five failed jobs." "What are the flakiest tests in the last five builds?"

No. Sauce AI for Insights is embedded directly in the Sauce Labs AURA platform. No additional setup beyond standard test execution on the platform. Pattern detection begins automatically.

Automated test diagnostics refers to systems that automatically analyze test failures and surface why something broke, rather than just flagging that it broke. Perform job-level root-cause analysis automatically, query by job ID, and the agent classifies root causes, returning hidden warning summaries and smart fix recommendations in seconds.

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Dashboards show you data. Sauce AI for Insights answers questions about it. Instead of navigating filters and static views, your team asks in plain language and gets immediate, context-aware answers with visual outputs and direct links to test cases.

Anyone on the engineering team can use Sauce AI for Insights. Engineering leaders get release-readiness trends. Developers get job-level root cause. SDETs get flaky test rankings and device failure patterns. No technical expertise required to query.

No customer data is used to train or improve the AI model. Data access mirrors existing Sauce Labs permission boundaries. Full details available in the Sauce Labs Trust Center.

Stop spending time fixing the past and start building the future