Cracking GenAI’s Black Box — 
How to Monitor & Optimize
LLM-based Products at Scale

​Generative AI is transforming industries, but for many teams, LLM-based applications remain a “black box” — difficult to monitor, debug, and scale efficiently.

How can AI teams achieve the visibility and control needed to deliver cost-effective, high-performing LLM pipelines?

Join Sohrab Hosseini (Co-founder, Orq.ai) and Mantas Urnieza (CTO & Co-founder, Evergrowth.io) as they discuss practical frameworks to manage LLM applications with confidence. 📝

​This session will explore key strategies and tools, including Orq.ai’s soon-to-be launched Traces feature, that help AI teams:

​🔍 Monitor: Gain real-time insights into system output, model interactions, and overall performance

🛠 Debug: Analyze guardrails, track retrievals, and troubleshoot issues before they impact users

📈 Optimize: Reduce costs, refine prompts, and enhance workflow efficiency through data-driven iteration

​Whether you're prototyping LLM apps or building complex AI-powered products, this webinar will equip you with actionable techniques to transform your AI systems from a “black box” into a transparent, scalable, and well-optimized engine.

​📅 Date: Thursday, February 27, 2025 | Time: 4 PM CET

​Save your spot now! 🦾