Mala Gaonkar - Founder of SurgoCap Partners | Podcast | In Good Company
TL;DR
Mala Gaonkar, founder of SurgoCap Partners, explains her firm's strategy to outperform the market over 3-5 year cycles while minimizing capital loss (not volatility) through concentrated investments in "truly great businesses" with long-duration moats, leveraging data science to debias decision-making across four technology-intersecting verticals.
🎯 Investment Philosophy & Strategy 3 insights
Duration as the core differentiator
SurgoCap defines risk as permanent loss of capital rather than volatility, seeking businesses with very long-duration competitive moats capable of compounding returns over 3-5+ year cycles.
Four vertical concentration
The firm concentrates capital exclusively in enterprise data/technology, financial services, healthcare services, and industrial technologies—sectors where technology disruption creates durable market leadership.
Incremental ROIC discipline
Quality is measured by the combination of high incremental returns on invested capital multiplied by the dollars that can be deployed at those returns, while carefully weighing execution risk against existing business scale.
⚡ Technology Disruption in Non-Tech Sectors 3 insights
Old technologies disrupting new ways
Gaonkar identifies significant opportunities where established technologies—such as lithium-ion batteries invented in 1976 or GPUs originally designed for gaming—are now disrupting traditional industries like automotive and driving AI adoption.
AI's underappreciated medical applications
Medical imaging accuracy and speed have improved approximately 70% through AI, while robotic surgery—currently penetrating 300 million annual global surgeries—is reducing errors and training time through haptic feedback and mapping software.
Real-time data moats resist AI disruption
Financial data providers handling real-time pricing for FX, fixed income, and equities possess durable advantages because real-time requirements and embedded compliance workflows make them difficult to displace with LLMs.
🧠Data-Driven Process & Debiasing 3 insights
System 2 over System 1 thinking
Drawing from Kahneman and Tversky, the firm prioritizes methodical, logical analysis over intuitive gut reactions, utilizing rigorous checklists to combat confirmation bias, availability bias, and FOMO.
Modern data verification tools
SurgoCap leverages automated survey bots, machine learning tracking, and web scraping to monitor product adoption and tech stacks—capabilities that were manual and cost-prohibitive during Gaonkar's early career in the late 1990s.
Thoughtfully missing out
The firm maintains strict circle-of-competence boundaries, preferring to miss opportunities outside their expertise rather than compromise on quality, valuation, or emotional discipline.
đź‘Ą Organizational Structure & Sourcing 3 insights
One pizza box team size
SurgoCap maintains a deliberately small investment team—smaller than Amazon's two-pizza rule—to foster cross-border collaboration, creative idea generation, and effective human collaboration that Gaonkar believes degrades at larger scales.
Edge-focused idea generation
The best ideas emerge from obscure industry trade shows, private market networks, and ongoing surveys of AI developers in non-tech industries rather than mainstream financial sources or established power players.
Asymmetric time horizons
Long positions target 3-5+ year durations based on business quality and moat sustainability, while short positions are catalyst-driven with sub-nine-month timeframes requiring fundamentally different analytical muscles.
Bottom Line
Investors should concentrate capital only in businesses with genuine long-duration moats where technology is structurally disrupting non-traditional industries, while rigorously applying data-driven checklists to remove emotional bias and maintaining the discipline to stay within one's circle of competence even when facing FOMO.
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