AI-Assisted QA & Monitoring

Quality assurance, made simple

AionQA is an AI-assisted QA and monitoring platform designed to scale quality assurance without scaling headcount. It is not positioned as a wholesale replacement for QA teams. It helps organizations reduce release risk and QA overhead by automating discovery, execution, and evidence collection. For maximum security and cost control, you can run runners/helpers in your own infrastructure (VPC) so execution traffic and internal routes stay within your perimeter while reporting stays centralized.

Evidence
Logs + artifacts
Flexible
Runners anywhere
SDLC
CI/CD ready
✓ Evidence-first
✓ Self-host runners encouraged

Trusted by teams shipping software every day

Self-host runners encouraged
Evidence-first workflows
Humans in the loop
Monitoring beyond uptime

Fragmented QA.

Spreadsheets, manual regression, flaky UI scripts, scattered logs, and long feedback loops lead to lost time, reduced confidence, and higher release risk.

• Tests are hard to trust (and harder to debug)
• Coverage grows slowly, maintenance grows fast
• Monitoring stops at uptime (journeys and correctness drift quietly)

Clarity, instantly.

AionQA brings workflows, evidence, and execution into one system so teams can scale QA without scaling headcount. Discover journeys, run them consistently, and collect artifacts that make results easier to trust and faster to triage. For maximum security and cost control, run execution inside your infrastructure.

Why Choose AionQA?

AionQA is built to support real QA work: discovery, workflow execution, evidence, and safe adoption of AI across your SDLC. Run crawling inside your infrastructure for maximum security and cost control.

Login Workflows (AI-driven, auditable)

Automate real-world authentication (including multi-step flows) with full visibility into what happened, why it happened, and what evidence was collected.

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Smart Crawling (discover pages, flows, and risk)

Point AionQA at a URL and it discovers pages, interactive elements, and candidate user journeys to test—fast, repeatably, and with evidence.

Learn more →

Workflow-Based Testing (journeys, not brittle scripts)

Instead of maintaining thousands of fragile tests, AionQA models your app as workflows/journeys with evidence per step.

Learn more →

Self-Hosted Runners (cheaper, faster, more secure)

Run crawling and execution inside your own infrastructure. Keep traffic local, control data boundaries, and scale compute the way your org already operates.

Learn more →

Logs & Evidence (debuggable by humans)

Every run produces a clear human-readable log trail and the artifacts needed to debug: screenshots, before/after state, and outcomes.

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CI/CD Integration (continuous confidence)

Run workflows automatically on every deployment and keep quality checks consistent across environments.

Learn more →

How AionQA Works

Three steps, plus a clear architecture you can deploy safely (including a Helper that can run in your VPC).

1

Connect your application (and choose where execution runs)

Start with a URL and an environment. For maximum security and cost control, run crawling and execution inside your own infrastructure (we encourage it). Keep internal routes and authenticated sessions within your perimeter while still getting centralized results.

2

Login workflows unlock realistic coverage

Most apps require authentication. AionQA treats login as a first-class workflow: observe page state, execute the steps once, and capture evidence so failures are debuggable. Successful sessions enable deeper crawling and workflow execution in private areas of your app.

3

Crawl, generate journeys, and ship with evidence

AionQA discovers pages and interactions, derives testable journeys, and runs them with clear artifacts. Integrate it into CI/CD so each deployment gets continuous validation and a human-readable evidence trail: what ran, what changed, what failed, and why.

User / UI
AionQA Cloud (internal)
Customer Private VPC
Target Website
External models (outside AionQA)
User Browser
(Frontend (web UI access))
Frontend
(web UI)
User BrowserWeb UI access
API
(create jobs, review results)
Frontendcreate jobs / review results
ai.aionqa.com
(model gateway / hosted endpoint)
APIresults shown to user
Job orchestration / Helper
(job dispatch + deploy/start crawler)
APIjob dispatched / watcher notified
Crawler
(deploys / starts crawler container)
Job orchestrationdeploy / start crawler
Self-Deployed AI Service
(send content / receive analysis)
Crawler
LLM Model
(local inference calls)
Self-Deployed AI Servicelocal inference calls
(in Customer VPC or outside)
Scanned Website
(crawl / scan)
Crawlercrawl / scan
page content returnedCrawler
Job orchestrationoptional external model call
OpenAI
(optional)
Self-Deployed AI Serviceoptional external model call
ai.aionqa.com ↔ Self-Deployed AI Service: optional use managed gateway (dashed); evidence upload (solid).

AionQA vs a Traditional QA Team

AionQA is built to support experienced QA teams and engineering organizations by scaling workflow discovery, execution, and evidence collection. Here is how that compares to a traditional approach.

Topic
AionQA
Traditional QA Team
Coverage growth
Discover pages and workflows first, then execute journeys with evidence.
Write tests early without a reliable map; coverage grows slowly and unevenly.
Maintenance load
Workflows are reviewed and iterated with artifacts, not guesswork.
High: selectors and timing issues require constant updates and triage.
Debuggability
Evidence-first logs + artifacts make failures actionable for humans.
CI failures often lack context; teams re-run and reproduce to understand.
Security posture
Encourages self-hosted runners so execution stays inside your perimeter.
Often blocked by network boundaries or requires bespoke infrastructure work.
Cost structure
Lower people-time spent on writing/maintaining brittle tests.
People-time dominates: test authoring, flake triage, and ongoing upkeep.
AI in SDLC
Designed for safe adoption: observable behavior and auditable outputs.
AI is bolted on later, often without governance or evidence trails.

All Features

Every feature has its own page with deeper details, including how login, crawling, and self-hosted execution work in practice.

Testing Workflow Features

Login Workflows (AI-driven, auditable)

Automate real-world authentication (including multi-step flows) with full visibility into what happened, why it happened, and what evidence was collected.

Learn more →

Workflow-Based Testing (journeys, not brittle scripts)

Instead of maintaining thousands of fragile tests, AionQA models your app as workflows/journeys with evidence per step.

Learn more →

Core Platform Features

Smart Crawling (discover pages, flows, and risk)

Point AionQA at a URL and it discovers pages, interactive elements, and candidate user journeys to test—fast, repeatably, and with evidence.

Learn more →

Chat Testing (guided requests and tooling)

A chat-oriented surface for guided testing requests and quick exploration within the project context.

Learn more →

Security & Deployment Features

Self-Hosted Runners (cheaper, faster, more secure)

Run crawling and execution inside your own infrastructure. Keep traffic local, control data boundaries, and scale compute the way your org already operates.

Learn more →

Runners & Execution Capacity

Scale execution horizontally with runners. Keep queue visibility, capacity, and status transparent for the whole team.

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Cookies Management

Inspect and manage cookies across projects to support authenticated crawling and to improve visibility into session and tracking behavior.

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Observability Features

Logs & Evidence (debuggable by humans)

Every run produces a clear human-readable log trail and the artifacts needed to debug: screenshots, before/after state, and outcomes.

Learn more →

Reports (PDF exports and scheduled delivery)

Generate reports for stakeholders: job stats, page coverage, domain health, and trends. Download on demand or schedule delivery.

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Issues & Health Center

Track overall health, issues by severity, and the latest scans so teams can spot regressions quickly.

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SDLC & CI/CD Features

CI/CD Integration (continuous confidence)

Run workflows automatically on every deployment and keep quality checks consistent across environments.

Learn more →

Schedules (automated recurring checks)

Run availability checks and recurring scans on a schedule so issues are detected without manual effort.

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Quality & Compliance Features

Compliance Checks (with fix suggestions)

Run modern web standards checks and get structured findings with suggested fixes, grouped by scope and priority.

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Optimization Features

SEO Assistant (keywords, meta, internal links)

Get an AI brief across pages for keywords, metadata, internal linking, and optimization opportunities.

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Content Optimizer (headlines, CTAs, duplication)

Review readability, CTA presence, duplication, and page-level content quality signals in one place.

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Admin & Controls Features

AI Budgets & Model Controls

Control AI usage with limits and budgeting so teams can adopt AI safely and predictably.

Learn more →

Reduce manual regression

Discover journeys and execute them with evidence so teams spend less time repeating the same checks and more time improving quality.

Ship faster with confidence

Integrate workflows into CI/CD and shorten feedback loops. Results are easier to trust because each run produces clear artifacts.

Scale with your org

AionQA is flexible: adopt it gradually, keep governance, and scale execution horizontally as your product grows.

Enterprise security by design

Run crawling and execution inside your infrastructure (encouraged). Keep internal URLs and sessions inside your perimeter while still getting centralized reporting.

Calculate Your Savings

3
$100,000
Current Annual Cost:$300,000
Cost with AionQA:$6,000
Annual Savings:$294,000

Frequently Asked Questions

Simple, Transparent Pricing

Choose the plan that fits your security, governance, and AI usage needs.

Self-Hosted

Run execution inside your infrastructure

$40/month
  • Self-host helper + runners in your VPC
  • Crawling + workflow-based testing
  • Logs, evidence, screenshots, job history
  • Pages + map visualization
  • Credentials/cookies for authenticated coverage
  • Reports, history, and shareable results
  • Schedules + CI/CD triggers
  • Core platform features included
  • Community support
Get Started
MOST POPULAR

Standard

Includes managed AI + SEO tooling

$90/month
  • AI-included
  • 20 USD of AI tokens per month
  • 3 projects
  • Managed OpenAI
  • Email support
  • 1 month free trial
Get Started

Premium

More tokens + content + email workflows

$200/month
  • 50 USD of AI tokens per month
  • On-demand AI available
  • 10 projects
  • Priority processing
  • Priority support
Get Started

Enterprise

SSO + governance + advanced capabilities

$400/month
  • 100 USD of AI tokens per month
  • 20 projects
  • Automated AI selection
  • Dedicated support
Get Started

Enterprise (Custom)

Call sales for a tailored plan

Custom
  • Unlimited usage
  • Bring-your-own-model or managed OpenAI
  • Dedicated success & solution engineering
  • Enterprise SSO and custom SLAs

AI usage

Managed plans include a monthly AI allowance (USD); overage is metered (tokens / AI actions).

Self-Hosted and Enterprise (Custom): bring your own model key; AionQA provides orchestration, observability, and audit logs.

Other features included

Every plan includes the core platform capabilities needed for testing and QA workflows.

• Crawls, journeys, and workflow-based testing
• Pages, map visualization, and evidence-first logs
• Credentials and cookies management for authenticated coverage
• Reports, history, and shareable results for teams

All plans include core platform features. Contact sales for a tailored enterprise rollout.

Ready to scale QA without scaling headcount?

Automate discovery, execution, and evidence collection. Keep humans in the loop for oversight and decisions. Self-host runners/helpers in your VPC for security and cost control.

Self-hosting supported • Built for QA and engineering teams

See AionQA in Action

Want to see how AionQA supports real QA workflows? Ask us to show you a live demo.

Global Presence

Sydney, Australia

Enterprise Security

Run crawling and execution inside your infrastructure (encouraged). Keep internal URLs and sessions inside your perimeter while still getting centralized reporting and evidence.

Self-Deployed Runners

Scale execution where it makes sense for you: VPC, Kubernetes, or isolated networks. Keep traffic local and control boundaries while still getting a consistent QA workflow and evidence trail.

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