The Immune System
for AI-Era Software
Continuously detect and diagnose production failures at runtime—human-crafted or AI-engineered. Close the loop from code generation to immunity.
Built by researchers and engineers from
The Core Problem
The Industry's Reliability Gap
AI agents generate code at 10× velocity. Non-deterministic failures are scaling even faster. Diagnosing them? Still 1× and manual.
The Heisenbug Dilemma
Non-deterministic crashes and silent failures are scaling faster than our ability to fix them. Every new AI-generated module adds surface area that traditional debugging cannot keep up with.
The Bottleneck
Traditional observability cannot handle the chaos of highly concurrent, non-deterministic systems. System reliability is the final bottleneck for fully autonomous software.
Our Platform
Three Pillars of Reliability
A comprehensive solution that records, diagnoses, and learns from every production failure.
Watcher
Deterministic Recording
Zero-privilege execution capture with <5% overhead. No more “cannot reproduce” — what happens in production can be perfectly replayed.
iReplayer
Automated Root-Cause Analysis
A novel “in-situ” diagnosis system combining record-and-replay with binary and dynamic analysis. Pinpoints the exact root cause without human involvement.
RLEF Engine
Continuous Learning
Close the loop. Production failures transform into structured reward signals to fine-tune and evolve AI coding models continuously.
How It Works
Zero Friction Deployment
Deploy across your entire infrastructure without touching a single line of source code.
Runtime Injection
Our technology works directly with your existing binaries. No recompilation needed.
Record Everything
Capture execution deterministically with minimal overhead in production.
In-Situ Diagnosis
Automatically replay and analyze failures to pinpoint root causes in-situ.
Proven Science
Rooted in World-Class Research
Our technology isn't built on hype—it's built on a decade of peer-reviewed research published at the most selective systems conferences in the world.
Dthreads: Efficient Deterministic Multithreading
ACM Symposium on Operating Systems Principles
DoubleTake: Fast and Precise Error Detection via Evidence-Based Dynamic Analysis
International Conference on Software Engineering
POMP: Postmortem Program Analysis with Hardware-Enhanced Post-Crash Artifacts
USENIX Security Symposium
iReplayer: In-Situ and Identical Record-and-Replay for Multithreaded Applications
ACM SIGPLAN Conference on Programming Language Design and Implementation
Watcher: In-Situ Failure Diagnosis
ACM SIGPLAN Conference on Object-Oriented Programming, Systems, Languages, and Applications
About Us
Building the Future of Software Reliability
Teyon.ai was founded by systems researchers and engineers with decades of combined experience in deterministic replay, program analysis, and AI systems. We're on a mission to make autonomous software trustworthy.
Years of Research
Core Products
Runtime Overhead
Ready to close the loop?
Join the companies building reliable autonomous software.
No commitment required. Let's discuss your reliability challenges.