AxioMyth is an AI-assisted, no-code test automation platform that verifies entire cross-system workflows on one visual canvas.
Most testing tools stop at the browser. The screen says "order placed," so the test passes. But the database never updated, the email never sent, and the API returned an error nobody checked.
AxioMyth tests the whole workflow. Browser steps, API calls, database queries, and third-party system checks live on one canvas with branching, looping, and parallel execution. The test fails where the system fails, not just where the screen looks wrong.
Tests are built visually by dragging actions onto a workflow canvas. A desktop app records live browser sessions and converts them into reusable page objects automatically. No scripting required.
When a test fails, the AI Helper diagnoses the failure and proposes a fix. It never modifies tests on its own. Every suggestion requires human approval with a full audit trail.
Every customer gets a dedicated database with encrypted credentials and server-side role-based access control.
Built for QA engineers, SDETs, and engineering managers who need confidence that a green test suite means a working system.
A startup from India that is founded by Samir Tripathy, Prathamesh Ghorpade.
Cross-System Workflow Testing
Verify UI, API, database, storage, email, and third-party systems in a single test run on one canvas
Visual Workflow Builder
Build tests by dragging actions with branching, looping, and parallel execution paths. No code required
Browser Recorder
Record live browser sessions via the desktop app and convert them into reusable page objects
AI-Assisted Diagnosis
AI Helper analyzes failures and proposes fixes. Nothing runs without human approval. Full audit trail
Parallel Execution
Run test branches in parallel on Playwright with live per-step status, video, and screenshots
Per-Tenant Data Isolation
Dedicated database per customer. Encrypted credentials unreadable even by AxioMyth. Server-side RBAC
CI/CD Integration
Trigger test runs from your pipeline and feed results back into your release workflow
Most testing tools verify the UI in isolation. The screen says "order placed," so the test passes. But the database never updated, the confirmation email never sent, and the payment API returned an error nobody checked. AxioMyth tests the whole workflow on one visual canvas. Browser steps, API calls, database queries, file storage checks, and third-party system validations run together in a single test. When something breaks, you know exactly where and why. The AI Helper diagnoses failures and proposes fixes, but it never changes anything without human approval. Every proposal is logged in a full audit trail. And every customer gets a dedicated database with encrypted credentials that not even AxioMyth can read.
No-code recorders like Katalon and Testim verify what the screen shows but can't check what happened behind it. Hand-coded frameworks like Playwright and Selenium give you full control but take months of framework plumbing before you test anything. AI-agent tools promise speed but run as black boxes nobody trusts. AxioMyth sits at the intersection: a visual canvas where you build tests by dragging actions, with cross-system verification across UI, API, database, and third-party systems in one run. When you outgrow no-code, your tests are built on Playwright, not a proprietary format you can't escape. And the AI assists rather than takes over. You stay in control.
QA engineers and SDETs who need to verify that backend systems actually work after the UI says they did. Manual testers moving into automation who want a visual interface without giving up verification depth. Engineering managers who own release quality and need confidence that a passing test suite means a working system. Enterprise teams that require tenant isolation, audit trails, and human oversight of AI.
The test execution engine is built on Playwright with support for parallel branch execution.
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