PLATFORM
The agentic AI testing platform. One place to write, heal, and run tests across web, mobile, API, and AI agents.
Multi-app studios in one workspace is executed by QASyn's autonomous agents for complete platform overview & unified architecture. Each run captures per-step PNG evidence, DOM context, calibrated confidence and an immutable audit record.
Context Graph knowledge engine is executed by QASyn's autonomous agents for complete platform overview & unified architecture. Each run captures per-step PNG evidence, DOM context, calibrated confidence and an immutable audit record.
Autonomous QASyn pipeline is executed by QASyn's autonomous agents for complete platform overview & unified architecture. Each run captures per-step PNG evidence, DOM context, calibrated confidence and an immutable audit record.
MCP server for AI coding agents is executed by QASyn's autonomous agents for complete platform overview & unified architecture. Each run captures per-step PNG evidence, DOM context, calibrated confidence and an immutable audit record.
Physical Playwright execution is executed by QASyn's autonomous agents for complete platform overview & unified architecture. Each run captures per-step PNG evidence, DOM context, calibrated confidence and an immutable audit record.
Immutable evidence trail is executed by QASyn's autonomous agents for complete platform overview & unified architecture. Each run captures per-step PNG evidence, DOM context, calibrated confidence and an immutable audit record.
How QASyn executes complete platform overview & unified architecture end-to-end.
Connect QASyn to the systems that describe complete platform overview & unified architecture: repositories, environments, issue trackers and identity.
Crawl the live application, map DOM flows and author target-specific test cases with QASyn Vision AI grounding.
Execute in a real Playwright browser and capture step PNGs, traces, network failures and calibrated visual decisions.
Gate the release with impact analysis, self-healing retries and a signed quality report before merge.
| Dimension | QASyn autonomous agents | Legacy scripts / recorders |
|---|---|---|
| Authoring | ✓ Crawl the live DOM and generate target-specific cases | Hand-written selectors and brittle recordings |
| Maintenance | ✓ QASyn Vision AI re-grounds selectors with abstention control | Manual selector repair after every UI change |
| Evidence | ✓ Real per-step PNG, expected result and audit metadata | Screenshots bolted on after failures |
| Release decision | ✓ Impact analysis, PR gate and calibrated risk score | Pass/fail output with no blast-radius context |
| Governance | ✓ Model, token and skill controls per workspace | Shared credentials and no usage telemetry |
Quality score
96/100
Coverage
94%
Faster triage
4.2×
Manual QA avoided
$24.8K
How does self-healing work?
When a selector fails, QASyn scores every candidate element (0.2 Tag + 0.4 Attributes + 0.3 Text + 0.1 Position). Above 0.45 it repairs the selector in place and flags the step HEALED.
Which browsers are supported?
Chrome, Firefox, Safari (WebKit) and Edge on a parallel cloud grid, plus iOS 14+ and Android API 21+ devices.
Autonomous quality engineering, grounded in visual proof. Crawl, author, heal and gate every release.