AI FOR INVESTORS: A BUILDER'S PLAYBOOK FOR ENTERPRISE LLMS

I'll share hard-won, practical musings from my startup's journey building production-grade LLMs for institutional investors. We'll move beyond the hype and the "demo trap" to discuss the real-world engineering challenges. I'll cover the core tensions between API costs and performance, and the critical, complex cycle of aligning AI outputs with non-technical stakeholders in legal, brand, and compliance. We'll dive into our key solutions for the biggest production hurdles: managing messy, real-world data entropy (hint: it requires more than just vector databases), controlling model non-determinism to ensure reliable and citable outputs crucial for finance, reducing the high cost of iteration, and managing non technical stakeholder expectations

Muzahid is an AI expert and tech entrepreneur with over 15 years of experience in creating innovative AI products for regulated industries like automotive, defense, investments and legal tech. He is currently the **CTO and co-founder of Ideasouq**, an AI platform that uses an agentic system for private market investments, from startup sourcing and due diligence to compliance and portfolio management. Before this, he co-founded a startup building generative AI-powered image platform in San Francisco. Before navigating into startup world, he spent a decade in Europe, where he led a team at Audi Autonomous Driving to build one of the world's largest open-source datasets for self-driving cars. He was the founding member of Dassault AI innovation Labs, and studied Computer Science from the University of Stuttgart and Entrepreneurship from the University of Cambridge.

https://www.linkedin.com/in/muzahid-hussain/