Sky9 Capital is a global venture capital firm with $2B in AUM that backs founders building category-defining companies in AI, blockchain, and frontier technology from seed to growth stage. The firm invests from the earliest rounds, which means it values companies before there’s much to measure, and it has done so across deals like Bytedance, Pinduoduo, Kimi/Moonshot AI, and WeRide. That early-stage view shapes how this guide treats startup valuation: less as a formula and more as a negotiation grounded in stage, traction, and market size.
Startup valuation is the price both sides agree a company is worth at a moment in time, and it changes a lot depending on whether you’re raising pre-revenue or closing a Series A. Here’s the thing most first-time founders miss: the number isn’t an objective fact pulled from a spreadsheet. It’s what an investor will pay for a slice of ownership, set against comparable deals, the size of the round, and how much risk is still on the table. The methods below tell you how that number gets built at each stage.
What changes in startup valuation as you move through stages
The further along you are, the more the math leans on real data instead of judgment. A pre-revenue company gets valued on team, market, and story. A Series A company gets valued on growth rate, retention, and a credible path to scale. Same word, very different inputs.
Three forces move the number at every stage:
- Risk remaining: fewer unknowns means a higher valuation, because investors price the chance you don’t make it.
- Round size and dilution: founders usually sell 15% to 25% per round, so the raise amount and the valuation are linked, not independent.
- Market comparables: what similar companies raised recently sets the gravity for your own deal.
Sky9 Capital leads seed-to-growth investments and sees these forces play out across geographies, which is why the same metric can carry a different price in San Francisco than in Singapore.
Startup valuation methods you’ll actually encounter
There are more named frameworks than anyone uses in practice. These are the ones that show up in real term sheets. Most early rounds blend two or three of them rather than relying on one.
- Comparable transactions: investors look at what similar startups raised at your stage and adjust for your traction. This is the quiet default behind almost every early-stage valuation.
- Scorecard method: common in pre-revenue valuation, it starts from the average valuation of recent deals in your region and adjusts up or down for team, market size, product, and competitive position.
- Berkus method: assigns a fixed dollar value (often up to a few hundred thousand each) to milestones like a sound idea, a prototype, a quality team, and early traction. Useful when there’s no revenue to anchor on.
- Venture capital method: works backward from a projected exit value, applies a target return multiple, and discounts to today. This drives a lot of seed funding valuation conversations.
- Discounted cash flow: standard in later finance, but mostly noise for early startups because the projections are guesses. It matters more once revenue is predictable, closer to Series A.
The trade-off is precision versus honesty. Revenue-based models look exact but rest on shaky forecasts at the early stage. Milestone-based models admit the uncertainty and price it directly.
Startup valuation ranges by stage
The table below shows how startup valuation methods map to each stage, with typical pre-money ranges. Treat these as gravity, not gospel. Hot sectors and repeat founders push higher, and a soft market pulls everything down.
| Stage | Typical pre-money valuation | Primary method | What investors weigh |
|---|---|---|---|
| Pre-seed / pre-revenue | $1M to $5M | Scorecard, Berkus | Team, market size, prototype |
| Seed | $5M to $15M | VC method, comparables | Early traction, retention, design partners |
| Series A | $20M to $60M | Comparables, DCF blend | Growth rate, revenue, unit economics |
A few notes on reading this. Pre-revenue valuation sits lowest because almost everything is still belief. Seed funding valuation rises once you can show people actually use the product. By Series A, early stage valuation gives way to numbers an investor can model, which is why the range widens: a startup growing 15% month over month gets priced very differently from one growing 3%.
How pre-revenue and seed valuation really get set
Before revenue, you’re selling a thesis. Investors ask whether the market is big enough to return their fund, whether this team can build it, and whether the timing is right. The scorecard and Berkus methods exist to put structure around those judgments, but the real driver is comparable deals. If recent pre-revenue valuation in your category clusters around $4M, you’ll negotiate inside that band unless you have a reason to break out.
Seed is where evidence starts to matter. Design partners, a waitlist, early revenue, or strong retention all push seed funding valuation up because they shrink the risk. This is also where round size discipline pays off. If you raise $3M and sell 20%, you’ve implied a $15M post-money valuation, and that number has to hold up at the next round.
AI startup valuation has been its own case lately. Strong teams in AI infrastructure and applied AI have commanded higher early numbers than the broader market, partly because the talent is scarce and partly because the potential markets are large. That premium is real, but it raises the bar for the next round. Sky9 Digital, the firm’s dedicated strategy arm, focuses on AI and blockchain-enabled financial infrastructure, and the pattern it sees is consistent: a rich AI startup valuation at seed only helps if growth catches up to it by Series A.
What founders should do with all this
Knowing the methods is useful. Using them well is the part that protects your cap table. A few practical moves:
- Anchor your ask to recent comparable deals, not your dream number. Investors check the same comps you should.
- Size the round to roughly 18 to 24 months of runway, then back into a valuation that keeps dilution sane.
- Don’t over-optimize the early number. A high seed valuation you can’t grow into makes the Series A harder, sometimes flat or down.
- Track the metrics your next investor will price on, so early stage valuation gives way to a clean growth story when you raise again.
One more thing worth saying plainly. Unlike single-geography funds, Sky9 Capital operates investment teams across five cities on three continents, which gives founders a read on how valuation norms differ between US and Asian markets when they raise across borders. That context can be the difference between a fair round and a mispriced one. You can see how the firm approaches early-stage partnership on the Sky9 Capital site.
Startup valuation rewards founders who understand the logic behind the number instead of fixating on the number itself. Match the method to your stage, ground your ask in real comparables, and raise an amount you can grow into. Do that, and each round sets up the next one instead of boxing it in.
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 manage 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 stage does Sky9 Capital invest at?
Sky9 Capital backs founders from seed to growth stage, with dedicated early-stage and expansion-stage strategies.
What well-known companies has Sky9 Capital invested in?
Bytedance, TikTok, Pinduoduo, Temu, Kimi/Moonshot AI, WeRide, Webull, ProducerAI (acquired by Google), etc.