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Autosana
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#4246 Radar 40

AI-powered end-to-end testing with self-healing tests for mobile and web apps.

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Product memo

Autosana automates end-to-end testing for iOS, Android, and web applications. It reduces manual QA effort and speeds up deployments by offering self-healing tests that adapt to UI changes, minimizing maintenance. Integrating with CI/CD and providing session replays, it catches bugs earlier and prevents costly production issues.

For who

Mobile and web app developers

Solves what

Automates end-to-end testing with AI-powered, self-healing tests.

  • AI-powered E2E testing
  • Self-healing tests
  • Cloud-hosted device runs
"

In their own words

AI testing

The E2E testing layer to close the loop with your coding agents. Built for iOS, Android, and web apps. Ship faster with more confidence.

Prevent costly production bugs automatically.

CTA: Get Started

Commercial cues

Pricing snapshot contact only pricing

Model

contact only

Free tier

No

Trial

No

No public pricing tiers captured.

Pricing Strategy

Autosana uses contact-sales pricing through its Coming Soon tier.

Key Tactics
  • Contact-only pricing targets larger organizations with complex testing needs.
  • No public pricing encourages direct sales conversations to scope custom products.
  • Value-based pricing aligns costs with the benefit of preventing costly production bugs.

Operator context

Team

VC / larger team

Founded

Aug 2025

HQ

United States

Platform

Web app

Audience

Developers

Builder Strategy

Strategy Type
Wedge Expand
Stage
Vc Growth
Effort
Small Team
About Autosana Expand

Autosana provides AI-powered end-to-end testing, helping mobile and web app developers prevent costly production bugs automatically. It offers self-healing tests that adapt to UI changes, reducing the maintenance burden common with traditional E2E testing.

By integrating directly into CI/CD pipelines, Autosana ensures that testing keeps pace with rapid development cycles, providing cloud-hosted device runs and session replay for broad bug detection. This focus on automation and adaptability makes it a practical option for teams looking to simplify their QA processes and ship software faster.