Decipher AI is a QA automation platform backed by Y Combinator (W24) that uses AI agents to generate, run, and maintain end-to-end tests for web applications. Show it your product through a screen recording, Chrome extension, or natural language prompt, and it builds reliable test coverage in minutes. Tests self-heal when your UI changes, so you never chase broken selectors. Decipher also monitors live user sessions with vision AI, flagging real bugs with session replays, network logs, and customer impact data. Built for engineering and product teams shipping fast with coding agents.

• AI Test Generation: Describe a test in plain language, record your screen, or use the Chrome extension to generate full E2E test coverage in minutes.
• Self-Healing Tests: When your UI changes, Decipher automatically updates test steps and selectors so tests stay reliable without manual maintenance.
• Live Bug Detection: Vision AI watches real user sessions and flags bugs with session replays, network calls, console logs, and customer impact analysis.
• Vision + DOM Validation: Checks whether each step truly worked using both visual understanding and DOM-level verification, reducing false positives.
• Managed Infrastructure: Tests run on cloud-hosted browsers with parallelization, retries, and environment management handled for you.
• Plain Language Failure Reports: When tests fail, Decipher explains why in plain language, whether the flow changed, a real bug exists, or a dependency failed.
• CI/CD and Tool Integrations: Plug-and-play with GitHub, Sentry, Linear, Asana, and your existing test suite for automated test runs and real-time alerts.
• AI-Assisted Bug Fixing: Hands structured context to coding tools like Claude Code or Cursor to draft pull requests and propose fixes automatically.

• Eliminate the Test Maintenance Burden: Self-healing tests mean you stop wasting hours updating broken selectors and chasing flaky tests.
• Fast Test Creation: Generate full E2E coverage from a screen recording or text description in minutes instead of writing Playwright scripts manually.
• Real Production Bug Detection: Catches issues affecting real users with full context including session replay, logs, and impact scope.
• No Infrastructure Management: Managed cloud browsers handle parallelization, retries, and environments so your team focuses on shipping.
• Enterprise-Grade Security: SOC 2 Type II audited, AES-256 encryption, and client-side data masking before anything hits their servers.

• High Price Point: With the Pro plan starting at approximately $250 per month and Enterprise tiers requiring custom quotes, the pricing may be a barrier for early-stage startups.
• Current Web-Only Support: No native iOS or Android app testing support yet (mobile is on the roadmap but not available today).
• AI Accuracy Dependency: Self-healing and vision-based validation rely on AI interpretation of UI changes, which may not be perfect for all edge cases.
• Opaque Enterprise Pricing: Enterprise tier requires contacting sales, with no publicly listed pricing for larger teams.

• Fast-Shipping Engineering Teams: Your team uses AI coding agents and ships multiple times a day, but QA can't keep up. Decipher generates and maintains tests at the speed you deploy, catching regressions before they reach users.
• Replacing Manual Playwright Maintenance: Decipher removes the need to constantly fix brittle selectors by automatically updating tests when the UI changes.
• Production Bug Triage and Prioritization: A customer reports a vague issue but you can't reproduce it. Decipher surfaces the exact session replay with network calls, console errors, and shows how many other users are affected so you can prioritize accurately.
• Preventing Regressions After Bug Fixes: After fixing a production bug, you need a test to ensure it never happens again. Decipher creates a regression test in one click from the bug's session replay, adding it to your automated suite.
• Onboarding New Engineers to QA Workflows: New engineers can create tests using plain language instead of learning complex frameworks, making QA coverage easier to scale.