# Composal vs QA.tech

By Composal. Sources reviewed: 2026-10-15.

QA.tech emphasizes change-triggered dynamic testing across web and mobile. Composal combines user-authored browser Scenarios with Discovery and Deep Scan, attaching recordings and reproduction steps to Findings.

## Composal

Composal sends AI browser agents to use your running web app and check the outcomes you care about. Define journeys as plain-English Scenarios, map existing flows with Discovery, or explore for bugs with Deep Scan. Runs keep recordings and reproduction steps so your team or coding agent can investigate a Finding.

[Verify documentation](https://composal.ai/docs/verify)

## QA.tech

Dynamic agentic QA for web and mobile releases

QA.tech describes autonomous agents that exercise web and native mobile apps on pull requests, using visual interaction to report product behavior.

[Official product or project documentation](https://qa.tech/)

## Where each fits

Choose QA.tech when automated pull-request coverage across web and native mobile is the primary requirement. Choose Composal when teams want to direct web journeys and open-ended exploration from a shared QA workspace.

## Try this evaluation

Connect each product to the same preview and ask it to verify an invoice workflow after a code change. Compare what gets selected for the PR, discovered beyond the expected path and returned as developer-ready evidence.

### Coverage

Which user outcomes must this release prove, and which specialist checks must stay in your existing stack?

### Setup

Who prepares accounts, test data, permissions and access to the deployment being tested?

### Evidence

Can the engineer reproduce a reported failure from the recording and steps, without asking the tester to investigate again?

### Ownership

Who updates the checks when the product changes, and can the team review what a passing result actually proves?

## Sources and scope

Prepared by Composal with AI-assisted research using the linked first-party product pages and documentation. These are workflow comparisons, not independent benchmarks or an exhaustive feature inventory. A documented capability is not a guarantee for every plan or environment; validate your own requirements in a trial.

- [QA.tech](https://qa.tech/)
- [Composal Verify](https://composal.ai/docs/verify)
- [Composal Deep Scan](https://composal.ai/product/deep-scan)

No comparative speed, price or accuracy score is claimed here. Product names belong to their respective owners.

## Related comparisons

- [Composal vs Octomind](https://composal.ai/compare/composal-vs-octomind.md)
- [Composal vs Autonoma](https://composal.ai/compare/composal-vs-autonoma.md)
- [Composal vs MagicPod](https://composal.ai/compare/composal-vs-magicpod.md)

[All comparisons](https://composal.ai/compare.md)