Investment Director at AppWorks
Check size: Firm-level: AppWorks publishes a US$200K to US$15M per-deal range across Seed through Series C, with capacity to lead or follow and reserve capital for follow-ons. This is not Sophie's personal allocation range.
Sophie backs Asian founders applying AI to transformative products and organizational models. Her current work spans personalized AI, gaming, agentic systems, and AI-enabled work; her broader investment record also favors founders digitizing large Southeast Asian industries. Her public-market background informs a disciplined lens on balanced growth: product-market fit first, steadily improving margins, an explicit path to profitability, and evidence strong enough to resist FOMO.
Show the technological shift and the specific behavior, workflow, or organizational cost it changes. Bring live experiments, usage and retention, product-market-fit evidence, unit economics, margin trajectory, burn, and a credible profitability path. Explain why the Asian team or ecosystem has a global advantage, what tacit knowledge the system captures, and why the AI product creates an outcome rather than another tool or copyable interface.
Founders who stay ahead of a technological shift, learn through rapid real-world experiments, possess deep domain or founder history, and can use Asia's talent, hardware, or market advantages to address a global opportunity. She also looks for strategic thinking, relentless execution, strong product-market-fit evidence, and improving margins.
Her published framework is explicit: cash-burning models without a credible path to profitability, growth without improving margins, weak product-market fit, fundraising driven by FOMO, and expansion that ignores survival. Her AI writing also suggests caution toward copying a visible organizational shape without building the underlying shared machine and operating discipline.
Replace fear-of-missing-out decisions with stage-appropriate evidence: PMF and non-destructive burn at seed, a credible profitability plan at Series A, and improving or strong profitability metrics by Series B and beyond.
Identify which execution and coordination costs AI removes, reorganize people around outcomes, preserve craft learning through guilds, and build a shared operational machine before assuming a flatter org chart creates productivity.
Start with a domain where expert knowledge and repeated feedback can be encoded into a personalized companion, then verify engagement, expert-quality improvement, community distribution, and expansion beyond the first persona or use case.
“Balanced growth means growth plus a path to profitability — growth with at least steadily improving margins.”
— https://appworks.tw/winter-fundraise/
“We believe there's a huge opportunity for personalised AI in every vertical.”
— https://appworks.tw/why-we-invested-justin-marcel-gabriel-the-trio-of-gamer-engineer-and-founder-of-clout-kitchen/
AI changes coordination costs and organizational shape by moving execution into a shared machine, embedding people in outcome teams, and turning functional departments into off-path craft guilds.
Personalized AI can encode expert knowledge into vertical companions, while gaming gives Southeast Asian teams an early global adoption wedge and rapid feedback loop.
In tighter markets, investors can wait for stronger evidence; startups should focus on their best product-market fit, cut burn, and pair growth with improving margins and a path to profitability.
+ 153 more investments. View fund →