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Explore
Agents navigate your product like a real user, discovering screens, states, flows, and unexpected paths.
Building the next generation of QA
Software testing that thinks.
AIQA Labs is building autonomous AI agents that explore applications, execute real user workflows, find failures, and turn them into actionable engineering feedback.
◆ Built for modern web applications, agentic workflows, and engineering teams.
$ aiqa run checkout-flow
✓ Discovering application routes...
✓ Signing in as test user...
✓ Adding product to cart...
! Unexpected state detected
AI FINDINGHigh confidence
Checkout CTA becomes unresponsive
Agent reproduced the failure after quantity update and captured the affected state.
✓ Evidence package generated
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Designed for teams that ship fast
Web AppsAPIsAI AgentsCI/CDRegression
The problem
Test cases are written for what you expect.
Real users don't follow the happy path. AIQA Labs is being built to continuously explore the paths your team didn't think to write down.
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Reason
AI evaluates what happened against the intended behavior instead of relying only on brittle selectors and assertions.
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Reproduce
When something looks wrong, the agent works to reproduce the failure and preserve the relevant evidence.
✓
Report
Turn findings into concise, developer-ready reports with steps, context, evidence, and likely impact.
The workflow
From intent to evidence.
Give an agent a goal. Let it investigate. Keep humans in control of what ships.
01
Define
Describe the user goal, feature, risk area, or regression you want investigated.
02
Explore
The agent interacts with the application and adapts as it encounters new states.
03
Investigate
Potential failures are checked, repeated, and correlated with available evidence.
04
Ship feedback
Receive a structured finding your engineers can understand and act on.
Use cases
Built around the way software breaks.
01 / Regression
Find what changed.
Run high-value journeys after releases and focus attention on behavior that no longer matches expectations.
Release→Agent→Evidence
02 / Exploratory
Test beyond the script.
Let agents investigate edge cases and paths conventional test suites may miss.
03 / AI products
Test the agentic layer.
Exercise conversational and tool-using systems where behavior depends on context, state, and model decisions.
04 / Triage
Give engineers the why.
Package reproduction context and supporting evidence so investigation starts with signal instead of noise.
About AIQA Labs
QA should become more autonomous as software becomes more complex.
AIQA Labs is an early-stage product initiative focused on applying capable AI agents to software quality engineering.
We're starting with web application testing and expanding toward continuous, evidence-driven quality workflows across the modern engineering stack.
Evidence over noise
Human control
Reproducible findings
Developer-first output
VS
Founder
Vaibhav Saraff
Founder, AIQA Labs
AIQA Labs is being built by Vaibhav Saraff with a focus on making software quality engineering more autonomous, evidence-driven, and useful to modern engineering teams.
The initial focus is autonomous testing for web applications and AI-powered workflows, with the longer-term goal of helping teams investigate software behavior continuously rather than relying only on manually authored test cases.
Early access
Want to see what an AI testing agent can find?
We're building with early users. Tell us what you test today and where it hurts.