Scenario Discovery
AI extracted edge cases from requirements, analytics, and support tickets.
AI-NATIVE TEST AUTOMATION
From test idea to release signal, AI handles the heavy lifting.
Generate scenarios, map user journeys, heal failures, and prioritize risk with a digital QA teammate that works across your stack.
Autonomous test planning
Self-healing execution
Release risk scoring
Plan a checkout regression suite for web + mobile before tonight's release.
I mapped 4 critical journeys, generated 27 tests, and prioritized 3 high-risk flows.
Locator Healing
6 selectors recovered automatically after checkout UI changes.
Risk Signal
Payments flow flagged as highest release risk based on flaky dependencies.
0%
Release confidence after AI validation
Requirement-aware planning
Journey mining from product flows
Auto-healing selectors
Release confidence scoring
HOW IT WORKS
A practical AI workflow your team can trust
AspectIQ turns product context into reliable automation without hiding what the AI is doing.
01
Understand context
Feed requirements, user stories, analytics, and logs so AI starts with product reality instead of guessing.
02
Generate coverage
Build test paths, negative cases, and data combinations around the journeys that matter most.
03
Execute and heal
Run across web, mobile, and APIs while the agent adapts to UI changes and unstable selectors.
04
Explain release risk
Surface root causes, flaky dependencies, and the exact reasons a build is safe or risky to ship.
CAPABILITIES
AI that feels like a teammate, not a black box
Every recommendation is paired with reasoning, traceability, and suggested next steps so your QA and engineering teams stay in control.
Test Design
Root Cause Analysis
Flake Detection
Release Insights
AI Planning Board
Updated just nowStory-to-test generation
Transforms plain language requirements into executable scenarios with traceability back to source.
Failure clustering
Groups related failures automatically so teams spend less time triaging duplicate noise.
Data variation suggestions
Expands coverage with risky permutations based on past defects and production behavior.
Release confidence scoring
Turns test outcomes, flake history, and dependency health into one explainable ship signal.
WHY TEAMS USE IT
Built for fast-moving teams and careful releases
AI helps teams move faster only when the output is dependable, reviewable, and production-safe.
Explainable output
Every generated scenario, healing step, and recommendation includes visible reasoning and evidence.
Human-in-the-loop
Teams review, approve, and refine automation instead of losing control to opaque agents.
Cross-stack coverage
One AI layer works across UI, mobile, API, and business workflows so coverage stays connected.
GitHub Actions
GitLab CI
Jenkins
Azure DevOps
Integrations
Works with what you've got
Seamless integrations with GitHub Actions, GitLab CI, Jenkins, Azure DevOps, Jira, SauceLabs, Lambda Test, & more. Plug in and start testing, no friction, no rebuilds.
Jira
SauceLabs
Lambda Test
& more
GET STARTED
Let AI take care of the repetitive QA work.
Launch faster with automation that plans better, adapts faster, and gives your team clearer release signals every day.