About FinCatch

Revolutionizing financial research with AI-powered insights and autonomous equity research.

Our Mission

At FinCatch, we're building the future of financial research. Our mission is to democratize access to institutional-grade market intelligence by combining cutting-edge AI technology with deep financial expertise.

We believe that every investor deserves access to real-time, comprehensive analysis that was previously only available to elite hedge funds and investment banks. Through our autonomous AI agents and vast knowledge graph, we're making that vision a reality.

Meet Our Team

We're a passionate team of investors, engineers, and AI researchers dedicated to transforming how the world approaches financial research.

Lok Kan Chan

CEO & Co-Founder

MFin UNSW Sydney, CPA Australia, ex-Credit Suisse, ex-KPMG

Harry Lui

CTO & Co-Founder

PhD in Mechanical Engineering (Scientific Computation) @ HKUST

Michael Lee

COO & Co-Founder

MAcc CUHK, MA (QAB) CityU, CPA Australia, ex-BOC, ex-SMTB

Austin Cheung

Senior AI Engineer

MSc (BA) HKU, PhD student in Information Systems @ HKUST

Chirag Engineer

Senior AI Engineer

BEng in Mechanical Engineering @ HKUST

Harsh V. Gupta

AI Engineer

BEng in Computer Engineering @ HKUST

Shahitya Shammo

AI Engineer

BEng in Computer Science @ HKBU

Chris HC Nguyen

AI Research Engineer

PhD in Mechanical Engineering @ HKUST

Our Technology

AI-Powered Agents

Our autonomous AI agents work 24/7 to analyze market events, financial data, and news across 1,500+ stocks, delivering insights faster than any human research team.

Knowledge Graph

Our proprietary knowledge graph connects millions of data points across companies, events, and market trends to uncover hidden patterns and opportunities.

Real-Time Analysis

Process and analyze market events as they happen, ensuring you never miss a critical trading opportunity or risk factor.

Scalable Infrastructure

Built on modern cloud architecture to handle billions of data points and deliver insights at institutional scale with consumer-friendly speed.

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