
Decipher AI recently launched!
Founded by Rohan Das & Michael Rosenfield
Decipher AI is an error-monitoring platform that analyzes runtime data with AI to help companies identify, prioritize, and resolve bugs. Reach out to the founders via email or book a demo here if you’re interested in saving engineering time, fixing bugs faster, or giving your users a more reliable product.
Dealing with software bugs can be a real headache. Even with modern monitoring tools, it's tough to figure out how an error even relates to the user and then how to fix the bug quickly. Here are a few things they’ve observed that contribute to the challenge:
Decipher provides error monitoring built from the ground up with AI. Whenever an error occurs, it helps engineers figure out what went wrong, the user impact, and how to fix it.

With just a few lines of code, Decipher will automatically capture all the information you need to debug an issue, including logs, request bodies, local variables, and more.

Decipher analyzes relevant session replays, runtime data, and source code to figure out how the bug actually impacts users. Alerts and issues in a dashboard are now as high-signal as customer pings.

Looking at the system-wide runtime data, Decipher generates a summary of the issue and kickstarts an investigation into the root cause. This gives you a sense of how long a fix will take and get you started.
Decipher is in active use by their customers!