■ About us
AI coding agents promise 10x developer productivity. But without the right context, they go
off the track, generating code that breaks your standards and rules, violates compliance,
and creates technical debt.
We've built Straion to fix that.
Our founding team spent years at Elastic, Dynatrace, and Netlify building tools that help engineering teams understand what's happening in their systems.
We learned something important: AI coding agents without the right rules go in the wrong direction—fast.
When AI coding agents started reshaping how software gets built, we saw the same pattern emerge. Teams adopting Claude Code and Cursor were flying blind—their AI had no context about organizational standards, security requirements, or architectural patterns.
The result? Engineers spending more time course-correcting AI than actually shipping.
We knew there had to be a better way.
Straion was born from a simple insight: AI coding agents don't need more capabilities—they need the right context. Our ML-powered platform ensures your AI knows your rules before writing a single line of code.
We're a small, focused founding team with deep roots in developer tooling and observability platforms.
Our backgrounds span Elastic, Dynatrace, Netlify, and other companies where we learned what it takes to build tools that engineering teams actually love using.
Previously at Netlify, where he designed and operated the build system handling millions of deploys. Built AI-powered diagnostics to help customers understand and fix failed builds faster. Deep experience in infrastructure, developer tools, and platform engineering.
Previously at Elastic and Dynatrace. Led the development of AI-driven observability workflows and managed international teams at Elastic. Sharp eye for user experience with a passion for turning complex ideas into clean, intuitive interfaces.
Previously Senior Product Architect at Dynatrace, where he led frontend platform architecture. 15+ years in software development and consulting, focused on building scalable, reusable systems and aligning technical architecture with real-world business constraints.
If you're excited about reliable AI software development, let’s talk.