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.
Decipher currently supports web applications. You install a lightweight SDK (compatible with Sentry or PostHog) to start collecting session data. Native iOS and Android support is on the roadmap but not yet available.
You can create tests in three ways: describe what you want to test in plain language, record your screen using the Chrome extension, or let the AI agent observe real user sessions and propose tests for critical flows automatically.
Decipher's agent automatically updates test steps and selectors when your UI changes. You get notified about meaningful adjustments, but tests continue passing without manual intervention.
Decipher uses vision AI to watch real customer sessions. When it detects a failure like a broken flow, dead click, or error state, it creates an alert with the session replay, affected accounts, network/console context, and an option to generate a regression test.
Decipher integrates with GitHub, Sentry, Linear, Asana, and popular CI/CD pipelines. You can also connect it to coding agents like Claude Code and Cursor for AI-assisted bug fixing.
Yes. Decipher is SOC 2 Type II audited, uses AES-256 encryption for all data, and masks sensitive information on the client side before it reaches their servers.
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