About LaunchPT
I'm Martin Hynie, and I help teams ship faster—without regret—by architecting systems that make uncertainty visible, risks legible, and adaptation continuous.
The Journey
After years as an engineering leader in highly regulated spaces, I moved to Berlin to focus on what matters most: helping teams navigate the complexity of AI systems with confidence.
Transitioning into ML and AI leadership, I witnessed firsthand how early shortcuts deeply impact scrappy teams' ability to adapt to market changes, emergent risks, and evolving technology. I've worked with teams building non-deterministic agentic products where understanding emergent behavior isn't optional—it's survival.
My work spans fintech, healthtech, and complex SaaS—industries where regulatory demands meet rapid innovation. I write code, design architecture, and work directly with teams to build systems that can explore, explain, and adapt.
The Approach
Most teams treat evaluation as something to bolt on later. I architect it into the foundation. When you build systems that surface what's actually happening—not what you hope is happening—you can pursue ambitious goals aggressively.
This isn't about adding process. It's about engineering visibility into uncertainty, making risks legible, and building systems that adapt as you learn. Elegance and mastery with comfort in complexity and emergence.
Speaking & Writing
I host Ghost in the Code, a podcast exploring explainable AI, emergent behavior, and building systems you can trust.
I also speak at conferences and write about AI architecture, evaluation as product, and the hidden complexity between demo and durable.
Let's Work Together
Whether you need a quick audit, a comprehensive architecture sprint, or ongoing advisory support, I'm here to help you move fast without regrets.

Location
Berlin, Germany
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What Clients Say
"Working with Martin and LaunchPT was game-changing. He guided our AI strategy from the ground up—helping us architect a platform where AI isn't just a feature, it's the foundation. Martin's insight into data structuring, agent orchestration, and model integration ensured we can adopt the latest AI models seamlessly without heavy refactoring. His technical depth and practical direction gave us long-term flexibility, faster iteration, and a smarter product roadmap."