The AI-native operating system for venture.

They invest in early-stage startups (angel to Series A) with a focus on helping founders achieve their ideals, not purely financial returns. They emphasize '共好、共享、共榮' (mutual benefit, sharing, and prosperity) and aim to create social value.

Singapore

Integrated private markets: we back established businesses with strong fundamentals and selected early-stage companies across Asia, investing equity with a private-debt overlay. We can control, co-invest, or structure — every transaction runs through its own SPV with institutional discipline.

I invest at the intersection of creativity, consciousness and culture, backing founders building where human potential meets technological advancement - with a specific focus on superintelligence. Their core belief is that AI will transform every industry, but human ingenuity remains supreme, so the winners of this cycle will be companies using AI to augment and elevate human capability rather than replace it. We focus on early-stage (mostly pre-seed and seed) and secondary opportunities.

Back founders going after big markets (big business needs a big TAM to grow into). In consumer and fintech, we look for execution excellence and deep local operating knowledge. For AI, we back technical founders and preferably has good/exceptional track record in the space. Across all of it, what I'm really underwriting is ambition and paired with the ability to execute on it.

Taipei, Taiwan

We want to invest in early-stage founders that want to go global, move fast, are adaptable, open-minded, and resilient.

I invest in one sentence. Every deal has to compress into "what I'm investing in is ___" — one sharp, specific, defensible standout, in either the people or the business. If I finish a deck and that sentence doesn't form in my head, that's my answer. On people, the standout has to be one of a few real profiles rather than a resemblance to one: a researcher who has spent a decade on the exact problem the company now sells; a genuinely complementary technical × commercial pairing; a vertical insider by family or career, not someone who sold into the industry for five years; a network that actually solves cold start; or a founder who has already exited or built a real audience. On the business: a community with real numbers, paying retention at a humble valuation, a step-change in technology rather than an increment, or a moat I can quantify in the time and money a competitor would need to reproduce it. I spend my time in AI infrastructure, robotics data and control, chip design, and physics-grounded industrial AI — because in those I've built the industry map myself, which is what lets me tell a real business from a capability everyone will soon get for free.

New York City

They back founders before there is a deck or a company, providing architecture, people, introductions, launch support, and hours in exchange for a small agreed stake, with capital coming as the portfolio earns it. They focus on AI products and enterprise AI that has to actually work.

Ricochet Capital invests in 'almost-yes' deals: high-quality startups that reached the due diligence stage at leading VC funds but were passed for reasons like portfolio conflicts, timing, partner politics, or IC dynamics. They aim to be the hedge against other funds' bias, taking a contrarian stance in the same asset class.

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