--- title: "On-Prem & Cloud QA Execution" description: "Run the same QA agent on your own infrastructure or in hosted environments, matched to security policy and scale." url: https://www.callstack.com/services/on-prem-cloud-qa-execution updated: 2026-11-09T15:58:31.601Z --- # On-Prem & Cloud QA Execution Run the same QA agent on your own infrastructure or in hosted environments, matched to security policy and scale. _[Agentic Delivery](/agentic-delivery) › [AI-Driven QA & Testing](/capabilities/ai-driven-qa-testing)_ **The same QA agent, wherever policy allows** Where QA runs is a security decision, not a tooling constraint. We deploy the same agentic QA infrastructure on-premise, in your cloud, or hosted - same agents, same checks, different boundary. ## AI-Driven QA & Testing - Industry runs on our tooling · 50M+ OSS downloads / month - 100+ Enterprise projects delivered - React Foundation Founding Member · 300+ commits to React Native · Contributing since 2016 - Expensify uses agent-device for bug evidence. Its usage story covers collecting evidence from mobile apps and profiling. - ~6x Faster prototyping · 60+ Components mapped with full coverage · Figma · Claude · Server · Tailwind · Tokens · React · Cursor · ESLint - 3.7× Lower task cost vs Opus 5.5 - Testing Library · Testing utilities in our open-source toolkit for checking React Native behavior. ## What you get: One QA stack, your deployment rules. - **On-premise deployment** Agents, runners, and devices inside your network; code and data never leave. - **Private cloud setup** The QA stack in your AWS, GCP, or Azure account, under your IAM and controls. - **Hosted execution** Managed environments when speed matters more than residency. - **Hybrid routing** Sensitive suites on-prem, scale workloads in the cloud, one orchestration layer. - **Local model options** QA agents backed by self-hosted LLMs where external inference is off the table. - **Consistent results everywhere** Identical checks and reporting regardless of where execution lands. ## Scope → Build → Scale: Design QA that keeps delivery moving. ### Scope (1 WEEK) We select a product workflow, define where agents act, and agree the controls and success measures. - Workflow and owners defined - Baseline and controls agreed - Token budgets confirmed ### Build (1-12 MONTHS) We connect context, agents, and verification to your tools, then run the workflow on your product backlog. - Running on your product backlog - Speed and quality measured - Business impact validated ### Scale (AS NEEDED) We document the workflow, transfer ownership, and extend it across teams and products based on results. - Your team owns the workflow - Expand based on results - Full knowledge handover ## What shipping at AI speed looks like. - [Building an Agentic SDLC for a Web Launch in Under One Month](/case-studies/building-an-agentic-sdlc-for-a-web-launch-in-under-one-month): 3x estimated delivery acceleration - [Engineering AI Loops for a Cross-Platform Design System](/case-studies/engineering-ai-loops-for-a-cross-platform-design-system): 60+ components mapped with full Code Connect coverage - [Migrating Questrade Edge Mobile to a Faster, More Scalable Architecture](/case-studies/migrating-questrade-edge-mobile-to-a-faster-more-scalable-architecture): 33% fewer re-renders across most features - [Enhancing Application's Performance for Expensify](/case-studies/enhancing-applications-performance-for-expensify): 5x faster message sending time **QA that fits your security model.** On-prem, cloud, or hybrid: same agents, same evidence, your rules. [Add QA agent](/contact) > Their engineers proved to be a crucial part of our mobile app relaunch project. > > — Brian Aznar, Engineering Director, Major League Soccer We’ll connect you with the right expert within 24 hours. ## Let’s find the right path for your product. **What leaves our network in each mode?** On-prem: nothing - code, devices, and inference stay inside. Private cloud: everything stays in your account. Hosted: build artifacts and test traffic, under the retention terms you approve. **Can this run air-gapped?** Largely, yes. With self-hosted models and an internal device lab, the stack operates without external calls; the trade-off is model capability versus the hosted frontier. **What is the cost difference?** On-prem trades subscription spend for hardware and setup; it wins at sustained scale. We model both against your test volume before you commit. **Who operates the on-prem stack?** You own it after handover, with runbooks and optional maintenance agents. Most teams run it with a fraction of one engineer's time. **Does hybrid complicate reporting?** No. One orchestration layer routes suites by policy and merges results into a single view, wherever they executed. **Can we move between modes later?** Yes. The stack is the same in every mode, so starting hosted and moving on-prem - or the reverse - is a routing change, not a rebuild. ## Open source - [Agent Device](https://agent-device.dev/): CLI to control iOS and Android devices for AI agents - [React Native Testing Library](https://github.com/callstack/react-native-testing-library): Simple and complete React Native testing utilities that encourage good testing practices - [Reassure](https://github.com/callstack/reassure): Performance testing companion for React and React Native - [React Native Harness](https://github.com/callstackincubator/react-native-harness): Harness brings Jest-style tests to real native environments so you can test TurboModules like you would test your React Native app: with JavaScript. - [Rozenite](https://github.com/callstackincubator/rozenite): Plug-and-play panels for React Native DevTools. Install, enable, and start debugging in minutes.