AI Native - Unified QA Platform
Other tools run your tests. GroundQA learns from them. Real traffic, QA corrections, and execution history feed an intelligence layer that generates better tests, better data, and better assertions — every cycle. Your team's expertise compounds instead of evaporating.
Core Capabilities
Most tools generate tests from specs alone. GroundQA combines your API spec with real traffic patterns and QA corrections to generate tests that reflect actual production behavior — and improve every cycle.
GroundQA builds a dependency graph from your API spec and real traffic — mapping every data flow, workflow, and relationship. Your QA team enriches it with domain knowledge. The result: a system model that gets smarter with every correction.
The same learning engine that tests your APIs evaluates your AI agents. Track behavior patterns, detect drift over time, and catch failure modes before they reach users.
Execute your full test suite with configurable parallelism. Results feed back into the intelligence layer, so every run makes the next one better.
Built for QA-driven teams
Built for QA leaders and engineering managers at fast-growing teams who need testing that scales with their velocity — not against it.
A platform that learns from your team's domain knowledge and turns it into better tests automatically. Unified coverage, governance, and improvement tracking.
Ship faster knowing every deploy is validated by tests grounded in real traffic — not just schema definitions. Fewer production incidents, less firefighting.
Get intelligent API tests in minutes — grounded in how your system actually behaves, not just what the spec says. Tests adapt as your code evolves.
Evaluate agent behavior, track drift over time, and validate safety guardrails with built-in evaluation frameworks that learn from past failures.
The problem
Every other tool in your stack generates the same static tests forever. Your team's expertise goes in, but nothing comes back out.
APIs change. Tests break. Your team rewrites them. Repeat forever. Unlike GroundQA, Postman and Playwright never learn from the pattern — so you start from scratch every time.
Existing tools test endpoints in isolation. They don't know that changing /users breaks /orders breaks /invoices. GroundQA maps every dependency — so cascading failures are caught before deploy.
Random Faker data. Template assertions. Synthetic scenarios that don't match how users actually behave. Your tests pass — but production still breaks. Because the tests aren't grounded in real behavior.
Postman, Playwright, and Cypress will never learn from your team. You need a platform that gets smarter every time it runs.
See how it works →Why GroundQA
For QA leaders and engineering teams who need testing that scales with their velocity — GroundQA is the API testing platform that improves over time. Unlike Postman, Playwright, or mabl, every test run and QA correction makes the next cycle smarter.
Every correction your QA team makes — adjusting an assertion, refining test data, flagging a false positive — feeds back into the system. Future test generation automatically reflects what your team taught it. Your expertise compounds.
Tests built from API specs alone miss how users actually use your system. GroundQA ingests real traffic patterns and builds tests that reflect production reality — not synthetic assumptions.
Stop generating random Faker data that tests nothing real. GroundQA uses ML-guided data generation based on real usage distributions, dependency-aware linking, and realistic negative scenarios.
GroundQA vs. the rest
Static tools run what you write. GroundQA learns, adapts, and improves — every sprint.
GroundQA
Use cases
For developers
First-class CLI, SDK, and API support. Every run feeds the intelligence layer. Every sprint, your tests get smarter.
# .github/workflows/groundqa.yml
name: GroundQA Tests
on: [push, pull_request]
jobs:
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: groundqa/action@v1
with:
api-key: ${{ secrets.GROUNDQA_KEY }}
suite: full
parallel: true// Run tests via REST API
const response = await fetch('https://api.groundqa.ai/v1/runs', {
method: 'POST',
headers: {
'Authorization': `Bearer ${API_KEY}`,
'Content-Type': 'application/json'
},
body: JSON.stringify({
suite: 'api-regression',
parallel: true,
notify: ['slack', 'email']
})
});// TypeScript SDK
import { GroundQA } from '@groundqa/sdk';
const gqa = new GroundQA({ apiKey: process.env.GQA_KEY });
// Generate tests from OpenAPI spec
const suite = await gqa.generate({
source: './openapi.yaml',
includeEdgeCases: true,
authFlow: 'oauth2'
});
// Run with dependency ordering
const results = await suite.run({ parallel: true });
console.log(results.summary);# Install & run from terminal
$ npm install -g @groundqa/cli
$ groundqa init
$ groundqa generate --source ./openapi.yaml
✓ 183 tests generated across 47 endpoints
$ groundqa run --parallel --report
✓ 247 passed ⚠ 3 warnings ✗ 0 failed
✓ Report saved → ./groundqa-report.htmlSecurity & compliance
Your code and test data never leave your infrastructure. GroundQA is built for teams that take security seriously.
Deploy on your own infrastructure. Keep test data and API credentials fully within your network.
Encryption at rest and in transit. API keys and secrets are hashed — never stored in plaintext.
Granular role-based access control — owner, admin, member, viewer — with per-project permissions.
Immutable audit trail of every action. Track who did what, when, across your entire organization.
Multi-tenant architecture with strict per-organization data isolation. Your data never crosses boundaries.
Invite-link management, project-level grants, and member controls — built for teams that take security seriously.
Early access
We're onboarding teams in batches. Join to get early access, priority support, and help shape the first learning QA platform.
FAQ
The opposite. GroundQA is built to amplify your QA team's expertise. AI handles the repetitive work — test generation, data enrichment, regression detection. Your QA team reviews, corrects, and enriches. Every correction makes the system smarter. Your team's domain knowledge becomes a compounding asset, not tribal knowledge that walks out the door.
Those tools are static — they run what you write and never improve. GroundQA learns from real traffic patterns, QA corrections, and execution history to continuously generate better tests, smarter data, and sharper assertions. It's not just automation — it's a QA intelligence system that gets smarter every sprint.
Yes. Import existing collections and suites directly. GroundQA merges them with its own intelligent tests — filling coverage gaps your existing suite missed and improving over time.
A living model of how your system actually behaves — built from your API spec, real traffic patterns, and QA team corrections. It maps every dependency, data flow, and workflow. As your system evolves and your team provides feedback, the graph gets smarter — powering increasingly accurate test generation.
Yes — using the same intelligence layer. GroundQA evaluates agent behavior, safety, and reliability. Track drift over time, catch failure modes, and validate guardrails — all with the same learning system that improves from your team's feedback.
Every QA correction — adjusting an assertion, refining test data, flagging a false positive — feeds back into GroundQA's intelligence layer. Future test generation reflects what your team taught it. Combined with execution history and traffic pattern analysis, the system continuously improves test quality, data realism, and assertion accuracy.
GroundQA is free during early access. We'll introduce transparent pricing tiers (Free, Pro, Enterprise) before general availability, with a generous free tier for small teams.
Get in touch
Whether you want a demo, enterprise deployment support, or help understanding how GroundQA learns from your system — we're here.
hello@groundqa.ai