Gal Kleinman

Mad respect for Gal Kleinman. This guy’s the real deal in the AI startup world. He’s a tech nerd turned AI innovator who’s been crushing it since day one.

So, Gal’s from Israel, based in Tel Aviv-Yafo, and has a solid engineering background. Before jumping into the startup scene, he was at Checkpoint, one of the big cybersecurity players. That’s where he cut his teeth on tough tech problems, especially around security and reliability. But what really sets him apart is his obsession with AI and how to make it trustworthy.

Fast forward, he met his co-founder Nir Gazit at Fiverr – yeah, the freelance gig platform. They clicked over a shared passion for tech and AI, and that’s how Traceloop was born. They launched this in early 2023 during Y Combinator’s Winter batch – which, no surprise, crushed it. Traceloop is all about LLM observability – basically making sure AI agents do what they’re supposed to do, consistently, and reliably. Think of it like a health monitor for AI, helping teams test, troubleshoot, and improve their models automatically. It’s super critical because as AI gets more complex, you gotta know what’s actually happening under the hood.

Gal’s been in the generative AI game from the jump – early days of GPT, he’s been deep in multi-agent architectures and tackling the messy problems of evaluation and reliability. This guy’s not just building tech; he’s trying to solve the trust problem in AI, making sure that these systems can actually be used safely in the real world.

What’s crazy is, his process shows he’s all about solving big, real-world problems. He’s not just in it for the hype; he genuinely cares about making AI dependable and transparent. That’s why he jumped into startups, why he’s pushing the envelope with Traceloop. He saw the bullshit in AI’s “trust us” time and decided to build something that actually makes AI safe and reliable.

Bottom line: Gal Kleinman is a tech guy with a mission. He’s been through the cybersecurity grind, which gave him that sharp eye for reliability. Then he jumped into AI, and now he’s building tools that could be game-changers for how we trust and use AI systems at scale. No cap, he’s one of those founders who’s shaping the future of AI safety and performance – and he’s just getting started.