Quash
AI-Powered Mobile QA Testing Platform For Scriptless Test Automation
by Brisk Labs Private Limited · Bengaluru, Karnataka, India · Founded 2023
What is Quash?
Quash is an AI-native mobile testing platform built for QA teams who need to ship faster without writing scripts. Powered by the Mahoraga execution engine, it lets testers describe app flows in plain English and run them on real Android and iOS devices, cloud infrastructure, or local emulators.
The platform covers the full QA lifecycle — test generation via Megumi AI agent, intent-driven execution, backend API validation, CI/CD integration, and detailed AI-written execution reports.
Used by QA engineers at companies like Groww, Netskope, and Amazon, Quash replaces brittle selector-based frameworks with an autonomous agent that self-heals across UI changes.
Quash — AI-Powered Mobile QA Testing Platform For Scriptless Test Automation Whether you're evaluating Quash for your team or comparing it to alternatives in the AI Code Tools category, this in-depth review covers everything: features, pricing, real user reviews, pros and cons, integrations, and direct comparisons against competitors.
Key Features 8
Who Is Quash For
Pros & Cons
- Truly Scriptless Mobile Execution
- Inline Backend Validation
- Multi-LLM Model Selection
- Strong Compliance Posture
- Cloud Concurrency Capped On Lower Tiers
- iOS Real Device Fleet Is Enterprise-Only
- Windows Support Added Recently
Frequently Asked Questions
5 questionsMahoraga is Quash's on-device AI agent that auto-installs on Android and iOS devices. It detects UI elements via accessibility APIs, executes plain English test steps autonomously, handles popups and dynamic loading states, captures step-by-step screenshots, and records the full session — all without requiring selectors or scripts.
Yes. Quash supports inline backend validation, allowing teams to define API, database, or response validations referenced by a slug directly within a test flow. Mahoraga fires these validations mid-execution, catching backend failures that the UI alone would never surface.
When UI elements shift between builds — due to layout changes, ID changes, or updated components — Mahoraga's self-healing engine detects the new element context and continues execution without test failure. All healing events are logged in the execution report for traceability.
Yes. Quash ships a native MCP (Model Context Protocol) server that lets AI agents like Claude Code, Cursor, and Claude Desktop trigger test runs, poll execution results, and retrieve reports using plain language commands — enabling fully autonomous QA pipelines with no human in the loop.
Quash supports multiple LLMs including GPT-4o, Claude Sonnet 4, Claude Opus 4, Claude Opus 4.5, and Gemini Pro. Teams can select the model and even adjust temperature from settings, giving control over the trade-off between execution speed and reasoning depth on complex app flows.
Who is Quash for?
Quash is most useful for Mobile QA Engineers, SDETs And Automation Testers, Product Managers Validating App Flows and DevOps Teams Running CI/CD Pipelines.
Quash pricing
Quash uses a freemium model: a usable free tier with optional paid upgrades. Headline pricing: Free trial available (100 agent minutes), Starter from $79/mo. For the current tier breakdown and any limits, see the pricing section above or check the vendor's pricing page directly — limits and prices change.
What's New
monthlyQuash MCP lets teams run mobile app tests directly from AI agents like Claude Code, Cursor, or Claude Desktop using plain language — handling test generation, execution, and reports on real devices and emulators.
Mahoraga now records execution trajectories and replays them as self-healing scripts without calling the LLM, completing reruns in approximately one-third of the original execution time with zero LLM overhead.
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Quash Pricing
Free trial available (100 agent minutes), Starter from $79/mo
- 800 Test Minutes/Month
- 1 App Under Test
- 1 Concurrent Cloud Session
- 2 User Seats
- 3,500 Test Minutes/Month
- 2 App Projects
- 3 Concurrent Cloud Sessions
- 5 User Seats
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