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Autonomous mobile testing

Human-like mobile regression testing at AI speed.

Upload your iOS or Android app, connect human-readable test cases, and let AI agents execute them across virtual devices — with video, logs, screenshots, and failure reasoning for every run.

  • No automation code required
  • iOS + Android
  • 5 to 100+ parallel agents
  • Traceable run evidence
FlashTest Test Runner
FlashTest Test Runner interpreting a natural-language test case, showing the active execution state and an evidence panel with logs
Natural-language test intent
Virtual iOS and Android devices
Parallel AI agents
Video, logs, and failure reasoning

See FlashTest in action

From test case to traceable result.

Watch FlashTest interpret a mobile test, execute the workflow, and return the evidence your team needs to review the result.

What the demo shows, in text

  1. Understands intent

    Reads the human-readable test case.

  2. Executes the flow

    Drives the app across virtual devices.

  3. Captures evidence

    Video, screenshots, and logs per run.

  4. Explains failure

    Shows reasoning when a step does not pass.

How it works

From app build to a result your team can review.

  1. 01

    Upload the app

    Add an iOS .ipa or Android .apk / .aab build.

  2. 02

    Connect test cases

    TestRail, Qase, plain text, Markdown, CSV, or REST API.

  3. 03

    Interpret test intent

    Agents reason about what each case is trying to prove.

  4. 04

    Execute in parallel

    Independent cases run across virtual iOS and Android devices.

  5. 05

    Review evidence

    Every run returns pass/fail with its full context attached.

Test intent, not fragile selectors

It reasons through tests. It does not just replay them.

FlashTest interprets what each test is trying to prove and navigates the interface the way an experienced tester would. When labels move or layouts change, the agent adapts to the intent instead of depending only on a fixed selector.

Example test step

“Log in with a valid user”

  • Finds the relevant login controls
  • Interacts with them in context
  • Recognizes the expected outcome
  • Captures the state when the outcome is not reached

Parallel AI agent architecture

Scale regression testing instantly.

Run 5, 20, or 100+ AI agents in parallel across virtual iOS and Android devices. Each agent executes an independent mobile test while FlashTest brings the results and evidence back into one reviewable run history.

  • Massive reduction in regression time
  • Faster CI/CD pipelines
  • Shorter release cycles
  • Higher deployment confidence

Illustrative parallel execution view

20 agents

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Test sources → execution queue → 5 / 20 / 100+ AI agents → evidence-backed results

Dynamic AI network virtualization

Put backend behavior under test control.

FlashTest can dynamically shape the network conditions around a mobile workflow so teams can reproduce difficult scenarios, reduce dependence on unstable environments, and test before every backend dependency is complete.

Network control surface

Mobile app
FlashTest network layer
Backend / synthetic

Inject latency

Illustrative scenario

Latency: +1500 ms

  • Stable test execution
  • Deterministic regression suites
  • Elimination of flaky backend dependencies
  • Reliable testing before backend completion

Delayed API response

Loading state, timeout handling, and recovery

WebSocket interruption

Reconnection behavior and state consistency

Synthetic backend failure

User-facing error handling and evidence capture

Inputs in, evidence out

Your existing test intent in. Reviewable evidence out.

FlashTest consumes the test intent your team already owns and executes it — no need to replace your test-management source of truth to start a pilot.

Existing test sources

  • TestRail
  • Qase
  • Plain text
  • Markdown
  • CSV
  • Custom REST API

Every run returns

Pass/fail status
Video recording
Step-by-step execution log
Screenshots
Network logs
AI reasoning
Failure explanation
Device and timing information
Run detail
FlashTest run detail for a failed test, showing the captured UI state, execution timeline, and failure details

Built by mobile quality operators

Deep mobile automation experience, turned into a product.

FlashTest is led by Igor Dorovskikh and Anton Prokuda, practitioners who have built, scaled, and taught mobile test automation, release infrastructure, and quality engineering.

Portrait of Igor Dorovskikh, Co-Founder and CEO of FlashTest AI

Igor Dorovskikh

Co-Founder & CEO

15+ years across mobile engineering, QA, release management, and leadership; founder of Engenious and Engenious University.

LinkedIn

Anton Prokuda

Co-Founder & CTO

Senior iOS and test-automation engineer with deep XCUITest, Swift, CI/CD, and network-stubbing experience.

Frequently asked questions

More questions? See the full FAQ on Product.

See how FlashTest handles a real mobile workflow.

Start with one test suite, one application build, and a focused pilot. We will show you the execution and the evidence before discussing a broader rollout.