Features How It Works AI Technology Pricing Team
AI Quality Control
v2.0 Beta Engine Live

QA That Thinks,
Adapts, and Never Breaks.

AutoQAI watches your app like a human tester, generates tests automatically, and fixes them when your UI changes.

No Selenium. No flaky scripts. No dedicated QA team required.

THE $2M PROBLEM

Most engineering teams spend more time maintaining tests than writing product code. Manual regression cycles delay releases, brittle scripts collapse on every UI change, and bugs still reach production. This is the status quo -- and it's costing you more than you think.

30–40%
Sprint Time Lost
Sprint Time Lost
40%
Your engineers are QA engineers in disguise.

Nearly half every sprint evaporates into writing, debugging, and rewriting test scripts -- time that should go toward shipping features your users actually want.

Brittle
Legacy Scripts
Legacy Scripts
Brittle
One UI change. A hundred broken tests.

Selenium and XPath-based test suites collapse the moment a button moves or a class name changes. You spend more time fixing tests than catching real bugs.

Low
Test Coverage
Test Coverage
~30%
Most of your app is flying blind.

Manual QA can only cover so many flows. Edge cases, error states, and multi-step user journeys are routinely skipped -- until a customer finds them in production.

Escaped
Production Bugs
Production Bugs
Escaped
Bugs that cost 30× more to fix in prod.

A defect caught before release costs minutes. The same defect found by a customer costs hours of hotfixes, support tickets, lost revenue, and damaged trust.

$2M+
QA Overhead
QA Overhead
$2M+
The true cost of manual QA at scale.

When you factor in QA engineer salaries, delayed releases, and escaped bugs, a mid-size engineering team burns over $2M annually on a problem that AutoQAI eliminates.

How It Works

From zero to autonomous
testing in five steps

AutoQAI replaces your entire manual QA workflow. No Selenium. No brittle XPath selectors. No dedicated QA engineers required. Just point, approve, and ship.

Engineering team working on software
89
Tests Generated Per App
3m42s
Average Full-Suite Run
99.4%
Self-Healing Accuracy
01
Connect Your App

Point AutoQAI at your app's URL or upload a build artifact. No SDK to install, no code changes, no configuration files. You'll have AutoQAI reading your interface in under five minutes.

Works with any web framework -- React, Vue, Angular, plain HTML.
02
AI Maps Your Interface

AutoQAI's vision model crawls every screen, button, form, and interactive state in your application -- building a complete visual sitemap the same way a thorough human tester would explore it by hand.

Discovers routes, modals, multi-step flows, and edge-case states automatically.
03
Test Cases Are Written for You

The LLM reasoning layer reads your sitemap and infers real user journeys -- checkout flows, onboarding steps, error states. It writes test cases in plain English and executable code. You review and approve in one click.

Generates Playwright-compatible tests you can export and own.
04
Tests Run on Every Commit

Connect your CI/CD pipeline and AutoQAI runs the full test suite in parallel cloud environments on every push -- across Chrome, Firefox, Safari, and mobile viewports simultaneously. No queue, no waiting.

Average full-suite run time: under 4 minutes for 200 tests.
05
Bugs Caught, Tests Self-Heal

When something fails, AutoQAI classifies it immediately: real bug, flaky network call, or intended UI change. When your interface evolves, tests automatically repair their own selectors -- no manual maintenance required.

Self-healing accuracy: 99.4%. Jira and Slack alerts included.

The Intelligence Layer

AutoQAI isn't a rule-based script runner. It's a stack of five specialized AI models working in concert -- each responsible for a different stage of the testing pipeline. Click any model below to see how it contributes to the whole.

01
Vision Model
Reads screenshots pixel-by-pixel, understanding UI layout and visual hierarchies perfectly. Identifies every interactive element without relying on DOM selectors.
02
LLM Reasoning Layer
Translates visual maps into meaningful user journeys. Understands intent, not just structure -- inferring what a real user would actually test.
03
Classification Model
Instantly categorizes failures as real bugs, flaky tests, or expected changes -- eliminating false positives that slow down your team.
04
Self-Healing Engine
When UI changes, this model re-identifies element relationships and repairs selectors automatically -- keeping your test suite green without manual work.
05
Risk Prediction Model
Scores every code change for QA risk, prioritizing which tests to run first so critical paths are always validated before edge cases.
VISION MODEL - LIVE INFERENCE
A Complete Ecosystem

Everything You Need to Ship

AutoQAI covers the full testing lifecycle -- from first discovering your app's interface all the way to filing a Jira ticket when a real bug is found. One platform, end to end.

App Discovery & Onboarding
AI Test Generation
Autonomous Execution
Self-Healing Tests
Bug Triage & Reporting
Dashboard & Analytics
App Discovery & Onboarding
Point. Connect. Done in 5 minutes.

AutoQAI crawls your entire app autonomously -- every route, modal, form, and edge-case state -- the moment you give it a URL. No SDK, no config, no code changes required.

240
Screens Mapped
<5m
Setup Time
100%
No Code Change
// AutoQAI crawler initialised
autoQAI.connect('https://app.yourco.com');
// ✓ 240 screens mapped
// ✓ 47 interactive states found
// ✓ Ready to generate tests
AI Test Generation
Tests written before you ask for them.

The LLM reasoning layer infers real user journeys from your visual sitemap and writes Playwright-compatible test cases in plain English and executable code. Review and approve in one click.

89
Tests Generated
1-click
Approval
Export
Playwright Ready
// Generated: checkout flow
test('user completes purchase', async () => {
  await page.goto('/checkout');
  await page.fill('#card', '4242...');
  await expect(page).toHaveURL('/success');
});
Autonomous Execution
Full suite. Every commit. Under 4 minutes.

Connect your CI/CD pipeline and AutoQAI runs all tests in parallel cloud environments on every push -- across Chrome, Firefox, Safari, and mobile. No queue, no waiting, no flakiness.

4min
Full Suite
Browsers Parallel
Every
Commit Triggered
// CI pipeline triggered
[chrome] ✓ 89/89 passed (3m 42s)
[firefox] ✓ 89/89 passed (3m 51s)
[safari] ✓ 89/89 passed (3m 58s)
[mobile] ✓ 89/89 passed (3m 44s)
Self-Healing Tests
UI changed. Tests fixed themselves.

When your interface evolves, AutoQAI's self-healing engine automatically re-identifies element relationships and repairs broken selectors -- no manual maintenance, no false failures.

99.4%
Heal Accuracy
0
Manual Fixes
Auto
Repair
// Selector drift detected
#submit-btn → not found
→ Self-healing engine activated
// Matched: [data-testid="submit"]
Selector repaired. Test passing.
Bug Triage & Reporting
Real bug or flaky test? Classified instantly.

AutoQAI's classification model tells you exactly what happened: real regression, flaky network call, or an intentional UI change. Jira tickets filed automatically. Slack alerts sent instantly.

3s
Classify Time
Auto
Jira Ticket
Slack
Instant Alert
// Failure detected in checkout
Classification: REAL BUG
Severity: HIGH
// Jira AQ-2841 created
// Slack #eng-alerts notified
Dashboard & Analytics
Full visibility. Zero guesswork.

Track test coverage, pass rates, flakiness trends, and time-to-ship across every project. Your entire QA health in one real-time dashboard -- built for engineering leads and CTOs.

98.2%
Pass Rate
↓62%
Bug Escape Rate
Live
Real-Time
// Weekly QA summary
Coverage: 94% ↑ 12%
Pass rate: 98.2% ↑ 4%
Flakiness: 0.6% ↓ 78%
Ship time: -1.4d faster
https://app.yourco.com
✓ App connected in 12s
autoqa://scanning · 47 states found
// Vision model crawling...
Routes mapped: 24
Modals found: 8
Forms detected: 11
Edge states: 47
autoqa://tests · 89 generated
// Generated test suite
test('checkout flow', async () => {
  await page.goto('/checkout');
  await page.fill('#card', ...);
  await expect(page).toHaveURL('/success');
});
Checkout · happy path
Login · invalid credentials
Onboarding · step 3 skip
Cart · empty state
CI · commit 4f2a9b · running
// Parallel execution
[chrome] ✓ 89/89 3m 42s
[firefox] ✓ 89/89 3m 51s
[safari] ✓ 89/89 3m 58s
[mobile] ✓ 89/89 3m 44s
356
Tests Run
100%
Pass Rate
3m52s
Total Time
Parallel
autoqa://report · ready to ship
// Deployment cleared
Coverage: 94% ↑12%
Bugs escaped: 0
Regressions: 0
Status: ✓ SHIP IT
0
Bugs Escaped
↓62%
Bug Escape Rate
94%
Coverage
-1.4d
Ship Time
Seamless Integration

AI That Sees Everything

Built for Scale

Enterprise-Grade Infrastructure

Your App
AutoQAI Engine
aws
AWS Cloud
NVIDIA ®
GPU Cluster

Click any node to view internal architecture

Market Opportunity
$2B+
in addressable market

The global software testing market is growing at 14% CAGR, driven by engineering teams demanding AI-native tooling that eliminates manual QA overhead. AutoQAI targets three clear segments.

Series A–C
SaaS
Primary Target
Engineering teams of 50–500 shipping fast and breaking tests faster.
$1.1B
TAM
Indie Devs
Fastest Growing
Solo builders and small teams who can't afford a QA hire but can't afford bugs.
$540M
TAM
Enterprise
Highest ACV
Large orgs replacing legacy QA tooling with AI-native infrastructure at scale.
$360M
TAM
Subscription
Usage-Based
Enterprise
ROI Calculator
Pay for confidence.

How many developers on your team?

10
Time Saved
~120 hrs/week
Capital Saved
~$936k/year
Starter
$99/mo
  • 1 App / Project
  • 500 test runs per month
  • AI Test Generation
  • Basic Analytics
Enterprise
Custom
  • Unlimited Apps
  • Private Cloud execution
  • Custom SLA
  • Dedicated TAM
Early Access

Join the future of QA.

We are opening Beta access in Q3 2025 for selected engineering teams. Secure your spot today.

Engineering team
"

"We eliminated 3 days of manual testing per sprint. AutoQAI found 2 bugs in our checkout flow we missed for months. It feels like magic."

Jordan M.
Engineering Lead, Series B Fintech
The Future

Roadmap

1
PHASE 1
2
PHASE 2
3
PHASE 3
4
PHASE 4

The MVP

Our Team

Engineers fixing engineering.

Ezeh Precious -- CEO & Founder
Ezeh Precious
CEO & Founder
Sarah Okafor -- CTO & Co-Founder
Sarah Okafor
CTO & Co-Founder
"Vision models finally unlocked UI testing. The DOM is just implementation details."
89Tests generated
3m42sFull suite runtime
99.4%Self-heal accuracy

Stop writing tests.

Request a live demo and learn how to automate your QA.