What is Antimetal?
Antimetal is an AI system that helps engineering teams understand, diagnose, fix, and prevent production issues by reasoning across logs, metrics, alerts, code, and past incidents.
It plugs into your existing stack and acts as an infrastructure intelligence layer, turning production data into explanations, reducing noise, and building a persistent understanding of how your systems behave over time.
What Antimetal Does
Antimetal automates incident investigation and production debugging, while building a persistent understanding of how systems behave over time.
It plugs into your existing tools and reasons across large volumes of production data, connecting signals across logs, metrics, alerts, code, and incidents.
Instead of each incident being investigated in isolation, Antimetal:
- Identifies likely root causes
- Recommends fixes and next steps
- Filters noise and highlights meaningful signals
- Learns from past incidents and team actions
- Builds a shared knowledge base across systems and engineers
Engineers don't just resolve incidents faster. They build a deeper understanding of their systems with each investigation.
Where Antimetal Fits
Antimetal sits on top of your existing observability and infrastructure stack.
- Observability tools: collect and display data
- Antimetal: reasons across that data to explain what happened and what to do next
Unlike traditional tools that surface data for each incident, Antimetal retains context across incidents, reducing noise and ensuring knowledge is not siloed within individual engineers.
The Problem
Debugging production systems is still manual.
Engineers must search across logs, metrics, and alerts, correlate signals, and test hypotheses during incident response. This leads to slow resolution (high MTTR) and repeated investigation of similar issues.
How Antimetal Works
Antimetal acts as an automated investigator.
- Ingests logs, metrics, alerts, code changes, and incidents
- Builds context across systems and time
- Reasons about likely causes
- Recommends fixes or next steps
It improves over time by learning from team actions and past incidents.
Example
An alert fires for increased latency.
Antimetal:
- Detects a recent deployment
- Correlates database latency and errors
- Identifies a query change
- Recommends rollback or fix
The engineer starts with an explanation instead of raw data.
Antimetal is an AI system for reasoning about production systems, helping teams fix issues faster, reduce noise, and build a shared understanding of their systems over time.
For more on how AI systems investigate and resolve incidents, see What is AI for Incident Response?.