Stop choosing between no QA, an expensive hire, and a raw AI tool.
Loadify AI gives product teams a managed QA layer: human testers, AI-assisted coverage, cloud or on-premise deployment — for less than keeping a full-time QA engineer on payroll.
Cloud or on-premise · human review included · cheaper than in-house QA
QA cycle
Release 2.7 checkout audit
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The real pain: QA becomes expensive exactly when you start shipping faster.
Offer
Use Loadify AI instead of adding another full-time QA seat.
You get a managed QA process, not just software access: our team uses AI tooling to find scenarios faster, validates issues by hand, and keeps regression coverage useful.
QA people without a full-time hire
A real QA team checks critical user journeys when you need coverage — without salary, hiring, onboarding, vacation, or idle time.
AI tools with human validation
AI helps expand scenarios and regression ideas, but humans confirm bugs, prioritize severity, and write reports your developers can act on.
Cloud or on-premise
Use our managed cloud service for speed, or deploy the QA workflow inside your infrastructure when data, compliance, or enterprise policy requires it.
Comparison
Three options. One is built for lean teams.
Loadify AI is positioned between hiring and buying a tool: lower fixed cost than a full-time QA engineer, more accountability than a self-serve AI platform.
Full-time QA hire
Upside
Deep product context
Risk
Hiring delay, idle time, management overhead, one person capacity
AI QA platform
Upside
Fast test generation
Risk
Your team still validates bugs, writes prompts, fixes flaky tests
Loadify AI
Upside
People + AI tooling + reports
Risk
Best for defined release flows, not replacing your whole QA org
How Loadify AI works
Choose cloud or on-premise
Start fast in our cloud, or run the workflow inside your infrastructure for sensitive products.
Share key flows
You give staging access, builds, and the business-critical scenarios that must not break.
We test with AI-assisted coverage
QA engineers expand scenarios with tooling, validate bugs manually, and prioritize what matters.
You get regression memory
Findings become reusable checklists or automated checks instead of one-off screenshots in chat.
Sample report
Every finding is actionable, not a vague note.
A sample of the report format clients receive after an audit or release QA cycle.
LOADIFY-AI-184
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Mobile evidence attached
Regression candidate
Ready for retest
Pricing
Cheaper than a QA hire. More accountable than a raw AI platform.
Start below the cost of one part-time QA engineer. Upgrade only when you need more release coverage or on-premise control.
Cloud Audit
For teams that need a fast pre-release check without hiring QA.
Managed Cloud QA
For teams shipping weekly who cannot justify a full-time QA hire yet.
On-Premise QA
For sensitive products that need the QA workflow inside their own infrastructure.
Final scope depends on number of flows, platforms, environments, data sensitivity, and release frequency. The benchmark: stay materially cheaper than one in-house QA seat.
Why this beats the alternatives
Before you hire QA, test Loadify AI for one release.
Send the product, choose cloud or on-premise path, and see whether a managed QA layer removes the pain cheaper than another employee.