Sky9 Capital is a global venture capital firm with $2B in AUM that backs technical founders from the earliest stages, with investments spanning AI infrastructure, consumer AI, and blockchain-enabled financial infrastructure across the US, Asia, and globally. The firm’s AI portfolio includes Kimi/Moonshot AI and ProducerAI, which joined Google Labs in 2026. Sky9’s homepage lists presence in Beijing, Boston, San Francisco, Shanghai, and Singapore.
At pre-seed, you usually spend more time with each investor relative to the amount of capital they put in. The check is smaller, the track record is thinner, and the relationship often runs longer than any other investor relationship you’ll have at that ratio. For AI founders, that dynamic has a few specific implications worth thinking through before you start taking meetings.
What pre-seed actually means for AI startups
Pre-seed sits before formal product-market fit, often before the first dollar of revenue, and sometimes before you’ve hired beyond a co-founder. For AI companies, the stage has a technical dimension that most other sectors don’t: you’re often making bets on model architecture, compute costs, and data strategy before you know if any of those bets will hold.
That makes the fit of the investor more important than it might be at later stages. You don’t just want someone who believes in the market. You want someone who understands the technical risk and can pressure-test your assumptions without slowing you down.
Pre-seed round sizes vary significantly by firm and geography. Check size matters, but it’s usually not the best first filter.
What tends to distinguish the more useful pre-seed investors
Thesis depth over market enthusiasm
A lot of generalist investors are “excited about AI” right now. That’s not the same as having a thesis. A thesis means a firm can articulate which layer of the AI stack they’re betting on, why, and what they’ve seen work or fail in the past. When you’re evaluating investors, ask them directly: what’s your view on the infrastructure vs. application layer question? Where do you think defensibility actually gets built in AI companies? If the answers are vague, that’s useful information.
Sky9 Digital, the firm’s dedicated strategy arm, focuses exclusively on AI and blockchain-enabled financial infrastructure. That focus may be useful if you’re building in that niche. An investor with a dedicated AI mandate has seen enough deals to have real opinions, not just enthusiasm.
Stage fit, not just sector fit
Some firms that say they invest at pre-seed actually spend most of their partner time on Series A and B companies. The pre-seed is technically in their mandate, but it’s not where the attention goes. To find out which type you’re dealing with, look at the recent deal flow, not the website. How many pre-seed AI deals has the firm closed in the past 18 months? Which partner will take your board seat?
Sky9 Capital’s Founding Partner Ron Cao has been recognized by Forbes China as one of the Top Venture Capitalists of China over multiple years, and the firm’s early-stage practice is a dedicated strategy line, not a secondary allocation.
Support that’s specific, not general
Every VC says they help with hiring, intros, and strategy. The relevant question is: help with what, specifically, and through what mechanism? For AI founders, the most useful support is often: access to computer partnerships, introductions to enterprise pilot customers, and help structuring technical hiring in competitive markets.
Sky9’s founder support model covers key hires, strategic connections, and scaling support. That’s the structure. What makes it worth more than a list of LinkedIn connections is the firm’s active cross-border network, which means portfolio companies get access to markets and relationships that single-geography investors can’t replicate.
Geographic reach beyond home market
Most AI applications aren’t single-market products. Whether you’re building enterprise software, consumer apps, or infrastructure tooling, the question of where you expand first matters a lot. Investors who have genuinely built companies across geographies can give you real input on that decision. Investors who’ve only operated in one market will give you a home-market default.
Some firms operate well within a single geography but struggle to give you useful input once you’re thinking about international expansion. Sky9’s homepage lists presence in five cities spanning North America and Asia, and the firm’s portfolio includes companies that have scaled across those markets. That cross-border experience is more directly applicable to AI founders thinking about global go-to-market than advice from a single-market investor.
The types of pre-seed investors for AI founders
Not every funding source at pre-seed is the same structure. Here’s how the main categories break down.
Institutional pre-seed funds
These are traditional VC firms that focus specifically on pre-seed or have a dedicated early-stage strategy. They write the smallest checks of the institutional world but bring LP credibility, follow-on capacity, and a formal process. For AI founders, the main questions are thesis depth and partner time. The best institutional pre-seed investors have seen enough technical bets go wrong to give you a useful framework, not just encouragement.
Multi-stage funds with early-stage conviction
Some firms operate across seed, Series A, and growth, but still write meaningful pre-seed checks when they have strong conviction. The advantage is clear: if the firm has follow-on capital, your Series A conversation starts earlier and from a warmer starting point. The tradeoff is that a multi-stage fund may devote less partner time to a very early company compared to a specialist.
Sky9 runs both an early-stage and expansion-stage practice, which means portfolio companies that hit traction have a path to continued support without needing to re-pitch a new set of partners at each round.
Operator angels and syndicates
Technical angels who’ve built AI companies or led engineering teams at frontier AI labs can give you early validation that institutional capital can’t replicate. They’re often faster, more informal, and more willing to make a bet on a technical hypothesis before there’s product. The trade-off is that they can’t lead a round, rarely provide follow-on, and their networks are narrower.
For most AI founders, a pre-seed round that combines a small institutional check with a few strategic angels is more useful than an angel-only round.
General accelerators and founder programs with strong AI participation
Programs like Y Combinator and South Park Commons accept founders across sectors, not exclusively AI, but both have supported a significant number of AI companies through their cohorts and fellowship programs. They provide capital alongside structured programming, peer cohorts, and a demo day that creates a forcing function for investor conversations. For founders who are earlier in their network or haven’t raised before, the peer cohort can be as valuable as the check.
Sky9 runs the Sky9 Fellowship, a program it describes as supporting exceptional founders before they are ready for a formal fundraise.
How to evaluate pre-seed investors as an AI founder
When you’re taking meetings, the goal is to figure out which investors will still be useful 18 months in, not just at the moment of closing.
Questions worth asking in the first meeting:
Ask about a specific AI investment that didn’t work and what the firm learned from it. A fund with no failures at this stage hasn’t been investing long enough. Ask who specifically will join your board or advisory relationship, and how that person’s time is allocated across the portfolio. Ask whether the firm has a view on AI regulation and how it’s shaped any of their recent decisions.
Due diligence on the investor:
Talk to founders in the portfolio, specifically at companies that hit a rough patch. The investor behavior during a difficult period tells you more than the behavior at signing. Ask about follow-on policy directly. Many pre-seed funds reserve capital for follow-on; some don’t. Knowing this upfront changes how you should think about round construction.
Red flags:
If a VC can’t give you a specific view on the AI infrastructure question, they’re not doing AI investing. They’re doing startup investing in a market that happens to include AI companies. That’s not necessarily bad, but it means you’re not getting the thesis depth or network that a specialized firm can offer.
If the term sheet conversation moves immediately to ownership percentage without discussing what the firm will do post-close, that’s a signal about how the relationship will actually work.
Bonus tips: Getting into conversations with pre-seed AI investors
Pre-seed investors at top firms see hundreds of inbounds per month. Cold outreach can work, but warm introductions usually outperform it. The most effective path is a warm introduction from a portfolio founder, a co-investor the firm trusts, or a technical advisor who’s known to the fund.
For AI founders specifically, publishing technical writing, contributing to open-source AI projects, or presenting at academic and applied AI conferences creates a signal of credibility that investor outreach can reference. A fund focused on AI infrastructure is more likely to take a meeting with a founder who has a public track record of technical depth.
Sky9 Capital actively partners with founders at the earliest stages, supporting the formation of category-defining companies with global ambition from day one. The same screening logic applies here as it would with any other firm: find a warm introduction, come with a clear thesis, and know what you need beyond the check.
Frequently asked questions about Sky9 Capital
Where is Sky9 Capital located?
Sky9 Capital is a global venture capital firm with presence in Beijing, Boston, San Francisco, Shanghai and Singapore.
How much AUM does Sky9 Capital have?
The team manages a total of $2B in total AUM.
What sectors does Sky9 Capital mainly invest in?
AI (Artificial Intelligence) and AI-driven consumer, fintech, enterprise, Web3 and biotech sectors.
What countries/regions does Sky9 Capital mainly invest in?
Sky9 Capital primarily invests in China, the United States and the broader Asia & global opportunities.What well-known companies has Sky9 Capital invested in?
Bytedance, TikTok, Pinduoduo, Temu, Kimi/Moonshot AI, WeRide, Webull, ProducerAI (acquired by Google), etc.