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AIQA— Where Quality Intelligence Powers Engineering Excellence

AI-Powered Quality • Autonomous Agents • Zero-Touch Testing
🤖 AI Test Generation 🧠 Self-Healing Execution 📊 Predictive Analytics ⚡ Real-time Optimization 🔍 Intelligent Insights
🚀 AI-First Quality Engineering

Our AI agents understand your requirements, generate comprehensive tests, self-heal during execution, and provide intelligent insights—all automatically.

Explore Agentic Quality Our Services
~50%
Faster regression cycles
~30%
Fewer escaped defects
~90%
Flake reduction

AI-Powered Quality Workflow

From requirements to deployment, AI accelerates every step of your quality journey

STEP 1
🤖

AI Requirements Analysis

Upload user stories, acceptance criteria, or product docs. Our AI parses requirements, identifies edge cases, and maps quality risks.

Natural Language Processing
Risk Prediction
Coverage Gaps Detection
STEP 2
⚡

Intelligent Test Generation

AI creates comprehensive test suites across UI, API, and data layers. Self-optimizing scenarios based on code changes and historical failures.

Multi-Layer Testing
Smart Prioritization
Auto-Maintenance
STEP 3
🎯

Adaptive Execution

Self-healing locators, intelligent waits, and failure pattern recognition. AI learns from each run to improve reliability.

Self-Healing
Flake Elimination
Continuous Learning
STEP 4
📊

Quality Intelligence

Real-time quality metrics, predictive analytics, and release readiness scoring. AI-powered insights guide deployment decisions.

Predictive Analytics
Quality Scoring
Release Confidence

AI-Driven Quality Impact

85%
Reduction in manual test creation time
3.2x
Faster defect detection with AI analysis
92%
Test stability improvement via self-healing
67%
Reduction in production incidents

AI Capabilities That Transform Quality

Advanced machine learning and natural language processing purpose-built for quality engineering

🧠

Contextual AI Understanding

Our AI doesn't just read requirements—it understands business context, user journeys, and quality implications.

🔬

Predictive Quality Analytics

Machine learning models predict failure patterns, identify risk hotspots, and recommend optimal test strategies.

🔄

Continuous Learning Engine

Every test run feeds back into the AI model, improving accuracy, reducing flakiness, and optimizing coverage.

🤖

AIQA Intelligence Core

📋
Requirements
📊
Historical Data
🎯
Test Generation
🔍
Quality Insights
Processing in real-time

Agentic Quality® — AI-First Quality Engineering Platform

Autonomous agents handle quality tasks end-to-end, from requirements analysis to production monitoring. Built on advanced AI that understands your domain and evolves with your codebase.

🤖

AI Agents

Autonomous quality agents that learn, adapt, and scale with your development velocity

🧠

Domain Intelligence

Deep understanding of your business logic, user flows, and quality requirements

⚡

Real-time Optimization

Continuous learning and optimization based on code changes and test outcomes

Domain‑Aware Spec→Build

Knowledge graphs map your terminology and policies to scenarios, API contracts, and traceability from spec to build artifacts.

Self‑Healing Execution

Resilient locators and adaptive waits reduce flakiness; auto‑repairs learned from DOM diffs and history.

Quality Intelligence

Coverage, defect density, MTTR, and release readiness correlated with code changes and builds.

Accessibility Intelligence

Automated WCAG 2.2 checks plus guided flows with fix suggestions and backlog export.

Model Workflow Testing

Define journeys as state charts/BPMN; generate tests across UI, API, data, and services with orchestration.

Governance & Compliance

Policy checks, SLA tracking, audit trails, and release scorecards per environment.

Test Data Management

Subsetting & masking from prod, synthetic data generation, referential integrity, and on‑demand data resets for reliable, compliant testing.

Release Intelligence

Test impact analysis, test gap analysis, and suite optimization driven by recent code changes, dependency graphs, and risk signals.

Smart Dashboard

Quality metrics—coverage, pass rate, flake rate, defect density, MTTR, and release readiness—with role‑based views and executive rollups.

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Integrates with your stack

Plug into CI/CD, test frameworks, and work management tools you already use.

Jenkins
GitHub
Azure DevOps
Jira
Slack
Teams
Cypress
Playwright
Appium
Rest Assured
JMeter
SonarQube
axe‑core

Simple, transparent pricing

Start free. Upgrade as your teams grow. Enterprise plans include SSO, VPC peering, and on‑prem options.

Starter

$0/mo
  • Up to 3 projects
  • AI test suggestions (limits apply)
  • Basic dashboard
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Pro

$49/user/mo
  • Unlimited projects
  • Self‑healing agents
  • Coverage intelligence
  • Popular integrations
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Enterprise

Custom
  • SSO/SAML & RBAC
  • VPC / On‑prem
  • Dedicated support
  • Compliance reporting
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Have complex environments?
Ask about non‑prod stabilization kits, SLA tracking, and incident analytics.
Request a Demo

AI-Powered Quality in Action

Real transformations achieved through intelligent quality automation

🏦

Global Financial Services

Enterprise Banking Platform
78% faster regression cycles

AI agents automatically generated 2,400+ test scenarios from legacy documentation, reducing manual effort from 8 weeks to 2 weeks.

🛒

E-Commerce Leader

Omnichannel Retail Platform
94% reduction in false positives

Self-healing test automation eliminated flaky tests across 50+ microservices, improving developer confidence and deployment frequency.

🏥

Healthcare Technology

Patient Management System
Zero critical bugs in production

AI-powered risk analysis identified 23 critical edge cases missed by manual testing, preventing potential patient data issues.

"AIQA's AI doesn't just automate testing—it thinks like a quality engineer. It caught edge cases our team missed and optimized our entire quality strategy."
JS
Jessica Chen
VP Engineering, Technowiz

Case Studies

Selected outcomes from quality transformations and AI‑powered testing initiatives.

Predictive QE for Retail

Defect prediction + risk‑based selection cut regression by 48% while improving CSAT.

E2E + API • CI/CD

Self‑Healing Web @ Scale

Locator intelligence dropped flake by 90% and stabilized nightly runs across 600+ scenarios.

Cypress • Playwright

Accessibility at Speed

WCAG 2.2 program embedded in CI with backlog export; 70% issues fixed in 2 sprints.

axe‑core • Coaching
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Questions, meet answers

How does AI test generation work? ＋
Paste your user story or Gherkin. Our agent parses acceptance criteria, synthesizes edge cases, and outputs runnable tests (Cypress, Playwright, API). You can approve or edit before running.
Do you support on‑prem? ＋
Yes — air‑gapped and VPC‑peered deployments are available. Bring your own LLM or connect to your preferred provider.
What frameworks are supported? ＋
Web (Cypress, Playwright, Selenium), Mobile (Appium), API (Rest Assured, Postman), Performance (JMeter). More on the way.
How is data secured? ＋
SSO/SAML, role‑based access, encryption in transit/at rest, and audit trails. Optional key management with your cloud KMS.
What is Spec→Build? ＋
We encode your domain concepts into a knowledge graph. From that, the platform translates requirements into scenarios, API contracts, and test scaffolds — maintaining end‑to‑end traceability from spec to build artifacts.
How do you handle accessibility testing? ＋
We run automated checks (contrast, semantics, ARIA, keyboard traps) and guided flows. Results include prioritized issues, fix suggestions, and export to your backlog with links to WCAG 2.2 guidance.
How do you manage test data? ＋
We support subsetting & masking from production, synthetic generation for edge cases, data versioning, and environment seeding/teardown hooks integrated with pipelines.

About AIQA

We’re a quality‑first engineering company building AI‑powered capabilities to accelerate safe delivery. We combine consulting services with our flagship platform, Agentic Quality™.

Quality at the Core

Continuous delivery and orchestrated engineering as guiding principles — from day 0 planning to production observability.

Tool‑Agnostic

We meet you in your stack — CI/CD, frameworks, and clouds — while standardizing on playbooks and data.

Proven Playbooks

Engagement models from assessment → pilot → scale, with ROI tracking and capability uplift.

Let’s build your quality command center

Tell us a bit about your team and we’ll reach out with a tailored demo.

Enterprise?

SSO, on‑prem, VPC peering, custom SLAs — we’ve got you. Ask about migration from existing tools and enterprise rollout playbooks.

Security reviewed
BYO LLM option