Introducing GroundQA: AI-Native QA for APIs and AI Agents

Divya vijay — Tue, 12 May 2026 11:04:34 +0000

Introducing GroundQA: AI-Native QA for APIs and AI Agents

GroundQA — the unified QA platform for teams shipping APIs and AI agents. This post explains what GroundQA does, why we built it, and where it's headed.

Our official domain is groundqa.ai. GroundQA is built by Selqor Labs.

The problem

Modern engineering teams have to test three different things, often in three different tools:

Web APIs — REST endpoints, GraphQL, gRPC. Postman, Insomnia, custom scripts.
AI agents — LLM-based bots, RAG pipelines, agentic workflows. Standalone evals, manual prompts, hope.
Scale behavior — load, throughput, latency under stress. JMeter, k6, Locust.

Each tool has its own model, its own UI, its own test data, and its own report format. Coverage gaps fall between the cracks. QA engineers spend more time stitching tools together than catching real bugs. And none of these tools improve over time — they just sit there until you manually update them.

What GroundQA does

GroundQA is one platform for all three. Same engine, same UI, same dashboard.

API testing

Import your OpenAPI/Swagger spec, or record production traffic, and GroundQA auto-generates test cases that match real usage patterns. Dependency graphs are built automatically: when endpoint B consumes data from endpoint A, GroundQA understands that relationship and tests them as a chain.

AI agent testing

GroundQA evaluates AI agent behavior across the dimensions that actually matter in production. You can test an end-to-end flow where an API call invokes an AI agent and validate both the API response and the agent behavior in a single test run. That's the "unified" part of unified QA.

Scale testing

Generate load profiles from real traffic patterns, run thousands of parallel test executions, get latency percentiles and throughput metrics in the same reporting view as your functional tests.

What makes GroundQA different

The thing that genuinely changes the workflow is that GroundQA learns. Every test run, every QA correction, every failure your team triages — it all feeds back into the system. Test generation gets sharper over time. False positives get suppressed. Edge cases that your team manually flagged once start showing up automatically in future generations.

Static tools like Postman, Playwright, and Cypress never improve. GroundQA does.

For QA teams that need to self-host

GroundQA offers a self-hosted deployment for enterprise customers with strict data-residency or air-gapped requirements. You deploy on your own infrastructure, keep test data and API credentials inside your network, and get full feature parity. Zero external API calls in controlled environments.

Where we are

GroundQA is currently in pre-launch with a waitlist on groundqa.ai. We're shipping with a small group of design partners across fintech, AI infra, and developer tools. If you're running QA on a team that ships APIs + AI agents and you want to talk, hello@groundqa.ai.

DEV Community: Divya vijay

Introducing GroundQA: AI-Native QA for APIs and AI Agents

Introducing GroundQA: AI-Native QA for APIs and AI Agents

The problem

What GroundQA does

API testing

AI agent testing

Scale testing

What makes GroundQA different

For QA teams that need to self-host

Where we are

Links