KKwestAI
AI-Powered QA Platform

Launch Agentic QA that actually works

KwestAI's vision-first agents simulate thousands of users in minutes β€” catching bugs before your customers encounter them.

https://app.kwestai.com/dashboard
E-Commerce Flow Test Suite
Running
βœ“
Navigate to product page
1.2s
βœ“
Add item to cart
0.8s
βœ“
Proceed to checkout
2.1s
⟳
Fill shipping details
3.4s
β€’
Complete payment
...
β€’
Verify order confirmation
...
Chrome β€’ Firefox β€’ Safari β€’ Edge6/8 flows completed
πŸ› Bug Detected
Payment button unresponsive on mobile Safari
Severity: HighCritical
Performance Metrics
Load Time1.2s
Accessibility96/100
SEO Score84/100
πŸ€– AI Insights
Detected 3 potential user experience issues in checkout flow
75% analyzed
Test Coverage
94.2%
Critical paths covered

Don't make your users QA your site for you

Manual testing is slow, flaky tests break constantly, and bugs slip through to production where they cost real revenue.

Legacy Test Suite
Failed
❌ Login button selector changed
❌ Checkout form timeout
⚠️ Payment test flaky (3rd retry)
⏸️ Search test skipped
Last run: 2 hours ago β€’ 67% tests failing

Let KwestAI be your QA team.

Vision-first AI agents that understand your app like humans do. No brittle selectors, no maintenance overhead, no missed regressions.

KwestAI Agent Suite
Running
βœ… User journey: Login β†’ Purchase
βœ… Form validation checks
βœ… Payment flow verification
πŸ€– AI adapting to UI changes...
Last run: 5 mins ago β€’ 100% success rate β€’ Self-healing
πŸš€ Zero maintenance
🧠 AI-powered

Proven impact at scale

Accelerate delivery without trading off quality β€” measurable, compounding returns from day one.

0+
Automated Tests Executed
Scale parallel test execution across browsers & environments.
0+
Bugs Caught Pre-Release
Prevent escaped defects before they impact users.
0+
Engineering Hours Saved / Mo
AI self-healing & autonomous authoring remove repetitive work.
0%
MTTR Improvement (%)
Faster root-cause isolation with intelligent traces & context.

Live Test Execution

Active
E-commerce Checkout
Chrome, Firefox2.3s
User Registration
Safari, EdgeRunning...
API Integration Tests
Multi-env1.8s
Total: 47 tests completed todaySuccess rate: 98.9%

Bug Detection Analytics

3 Critical Issues
Payment Gateway TimeoutCritical

Mobile Safari: 5s timeout on checkout submit

Detected: 12 mins ago
Form Validation IssueMedium

Email field accepts invalid formats

Detected: 1 hour ago
Performance RegressionLow

Search page load time increased by 23%

Detected: 2 hours ago
Total: 47 issues resolved this weekπŸ€– AI Auto-healing: 89%

Discover the agentic QA advantage

Test actual user flows, not IDs in code.

KwestAI Agents navigate the browser just like human users do. Our Agents are not tied to CSS and XPaths but the actual elements on your page.

Vision-First Agent View
AI Agent detecting elements...
πŸ” Found: "Add to Cart" button
βœ“ Element stable & clickable
🎯 No selectors needed
10X
the one-person QA team, to run thousands of regression tests every single day

Schedule your next release, with ease.

Using KwestAI's scheduler, with a few clicks, setup all of your tests to run with your release schedules. We take it from there!

Automated Test Schedule
πŸš€ Pre-deploymentDaily 6PM
πŸ”„ Regression SuiteEvery PR
🎯 Critical PathsHourly
$300k+
Saved from a broken pricing experiment – bug caught before it cost revenue.

Reporting made ridiculously simple.

One-click bug reports and notifications so your team never misses a bug. View video replays of the test runs and an in-depth analysis of each stepβ€”making debugging a breeze.

Key Features

Video Playback
Console & Network Logs
Sharable Links & One-Click Bug Reports
Bug Report Dashboard
Login Flow Failure
Chrome 119 β€’ Mobile viewport
πŸŽ₯
πŸ“Š
πŸ”—
Video Playback
Console & Network Logs
Sharable Links & One-Click Bug Reports
Debug Analysis: 94% accuracy

Autonomous QA Lifecycle

From intent to governed quality signals – one adaptive feedback loop.

Describe

You state the user journey in natural language. We parse actors, actions, data needs & assertions.

Insight

Semantic parse builds a resilient intent model – not brittle selectors.

Scenario: Guest checkout with discount
  Given a visitor adds an in-stock item to cart
  And applies a valid promo code
  When they checkout as guest
  Then the order total reflects the discount

Use Cases

From smart assertions to AI feature testing β€” KwestAI handles any workflow your users encounter.

Smart Assertions

Describe Assertions just like you would to a human tester.

AI Assertion Example
βœ“ "User should see confirmation message"
βœ“ "Cart total should be greater than $0"
βœ“ "Email format should be valid"
Learn more β†’

Testing End-to-End Workflows

Emulate real end-to-end multi-step and multi-tab workflows.

Multi-Tab Flow
Tab 1: Product selection
Tab 2: Payment gateway
Tab 3: Order confirmation
Learn more β†’

Form Filling

Test Dynamic Forms with the KwestAI Agent.

Dynamic Form Test
Name field:βœ“ Filled
Email field:βœ“ Validated
Dynamic fields:βœ“ Adapted
Learn more β†’

Cross Language & Localization Testing

Test KwestAI across 36 different languages!

Multi-Language Testing
πŸ‡ΊπŸ‡Έ EN
πŸ‡ͺπŸ‡Έ ES
πŸ‡«πŸ‡· FR
πŸ‡©πŸ‡ͺ DE
πŸ‡―πŸ‡΅ JP
+31
Learn more β†’

Testing AI Features

KwestAI Agent tests dynamic UIs, and can be deployed to test some of your own AI features/Agents.

AI Feature Validation
Chatbot responses
Dynamic content generation
Recommendation accuracy
Learn more β†’

Ready to see KwestAI in action?

Join hundreds of teams who've transformed their QA process with autonomous testing.

What engineering teams need from AI QA

Real challenges from real engineering orgs. Here is what they're looking to solve with intelligent testing automation.

S
Sarah Chen
VP OF ENGINEERING

"We maintain 18,000+ test cases across 40+ microservices. Every deploy, 2-3% of tests fail for environmental reasons, not real issues. Our team spends 8-10 hours weekly triaging false positives instead of writing meaningful tests."

The Problem: Test Triage Overhead
40 hours/month
Wasted on False Positives
β†’
< 4 hours/month
What We Need
TechStack Solutions
J
James Rodriguez
QA DIRECTOR

"We run 45-minute test suites daily. Half our team time goes to maintaining brittle selectors and flaky waits. When the UI changes slightly, 200+ tests break even though functionality is fine. Automated test repair would be transformational."

The Gap: Test Maintenance
30-40%
Of Sprint Cycle
β†’
< 5%
If Automated
CloudFlow Systems
M
Maya Patel
ENGINEERING MANAGER

"Our biggest blocker? Devs can write features but struggle to author comprehensive test cases. It takes 2-3 weeks for test experts to build quality coverage for a 1-week feature. We need non-experts to generate reliable tests from requirements."

The Bottleneck: Test Authoring
3-4 weeks
Time to Deploy
β†’
1-2 weeks
With AI Generation
DataCore Analytics
D
David Kim
HEAD OF QA

"In financial tech, a single production bug costs us immediately. Our QA team works overtime trying to achieve comprehensive test coverage for regulatory compliance, but knowledge gaps remain. AI-augmented testing could close those gaps systematically."

The Risk: Coverage Gaps
12-15 per quarter
Production Incidents
β†’
2-3 per quarter
Target with AI QA
FinServe Capital

Transform your QA workflow today

Automate test creation, eliminate flaky tests, and ship with confidenceβ€”all powered by AI that understands your codebase.

https://app.kwestai.com/dashboard

Test Suite Overview

E-commerce Platform β€’ Last run: 2 mins ago

βœ“ 847 Passed
βœ— 3 Failed
✦

AI Insights

β€’ Auto-healed 12 flaky assertions in checkout flow
β€’ Detected performance regression in product search
β€’ Generated 5 new edge case tests for payment validation
98.2%
Success Rate
4.2s
Avg Runtime
47
Tests Generated

Recent Activity

Login flow tests completed successfully2m ago
AI generated new test for mobile checkout5m ago
Auto-healing applied to search filters8m ago
24/7 support
Weekly updates
Secure and compliant
99.9% uptime