In this week’s episode of The Fund AI Pod, host Iain Carey speaks Hojun Choi, co-founder and CEO at LinqAlpha, an AI-native research platform purpose-built for public markets investors. LinqAlpha helps hedge funds and asset managers eliminate research friction by deploying multi-agent AI systems that ingest structured and unstructured data, run quantitative analysis via coding agents, and synthesize insights across asset classes.

In this episode, we go deep into multi-agent AI architecture in the front office, addressing hallucinations risks, categories of agent use cases, why agents bridge the gap between discretionary and systematic investing, front office AI adoption types, and more.

Sponsor

This episode is brought to you by:

zentia Consulting - helping asset managers, funds, service providers and enterprises identify and implement their top AI and automation use cases. They can build or co-build solutions for you, provide AI training, build governance oversight programs, and offer off-the-shelf pre-packaged agents.

https://www.zentia.io/

Follow on LinkedInGuest (Hojun Choi): https://www.linkedin.com/in/hojunchoi1214/

Guest's Firm (LinqAlpha): https://www.linkedin.com/company/linqalpha/

Host (Iain Carey): https://www.linkedin.com/in/iaincarey/

Website & Platforms

www.thefundaipod.com

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Chapters

00:00 Introduction to Hojun and LinqAlpha

03:15 Multi-agent architecture

09:59 Three categories of agent use cases

12:15 Agent deployment and MCP architecture

13:52 Addressing hallucinations concerns

18:33 Avoiding AI herd effect and enhancing capabilities

23:07 New and existing manager AI starting points

26:32 Agentic AI in operations

28:01 Real-world use cases of AI agents

30:45 The future of the front office with AI

32:40 Categories of AI adoption types

37:58 Integrating LinqAlpha into users’ set-up

40:17 Types of clients and needs

43:00 Key takeaways and contacting Hojun and LinqAlpha