About Us
Building the Intelligence Layer for Production Reliability
Our MCP server leverages a novel, log-linearly scaling model to turn massive log streams into actionable insights for coding agents.
Our Mission
Founded in 2025, lab358 set out to solve the most painful part of the software lifecycle: debugging production errors. We realized that while coding agents were getting better at writing code, they were often blind to the messy reality of production logs.
Traditional logging tools weren't built for machines to read. We built an MCP server that ingests, compiles, and summarizes logs at scale. By using a novel log-linear scaling architecture, we enable coding agents to query and understand system behavior across billions of lines of telemetry without losing context.
Today, we empower engineers to delegate the "detective work" of debugging to their AI counterparts, moving from reactive firefighting to proactive system optimization.
Why lab358
Our Core Advantages
Log-Linear Scaling
Our model maintains constant-time retrieval performance regardless of log volume, making petabyte-scale debugging instant.
MCP Native
Built from the ground up to integrate with the Model Context Protocol, allowing any coding agent to consume production context directly.
Agentic Debugging
We prioritize automated synthesis over manual searching. Our platform summarizes complex error chains into actionable root cause reports.
Ready to Transform Your Debugging?
Join the next generation of intelligent log analysis and let your agents debug at cosmic scale.
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