The frameworks VCs use to value pre-revenue startups aren't secret. They have names, they have structures, and knowing them before you walk into a room changes what you can negotiate.
The question of how to value a pre-revenue startup sits at the center of almost every early-stage fundraise, yet most founders let the investor arrive with a number and accept it. That number comes from somewhere. The methods have names, they have formulas, and learning them gives you leverage you didn't know you were missing.
Three frameworks genuinely circulate among serious angel investors and early-stage VCs: the Berkus Method, the Scorecard Method, and Risk Factor Summation. None produces a precise figure, and all three rely on judgment calls and regional comparables, but each is a structured argument. Knowing how the argument runs lets you build a competing case rather than sitting across the table nodding at whatever you've been handed.
Before running any of them, you need the regional baseline. According to data compiled by Carta, the median pre-money valuation for pre-seed rounds in the U.S. in 2024 was roughly $9 million, with seed rounds ranging from $12 to $15 million depending on sector. AI companies attracted premiums in that period. Consumer apps did not. These figures shift with market conditions, but knowing the current average for your sector and geography is the starting point for two of the three frameworks below, and skipping it is the most common mistake founders make before a fundraise.
Dave Berkus, a California-based angel investor who has backed more than 100 early-stage companies, developed this framework in the mid-1990s and has refined it since. The underlying logic is that a pre-revenue company has value only to the extent it has eliminated risk. Berkus identified five categories of risk that can each be scored and priced independently.
The five are: the quality of the core idea, which addresses market risk; a working prototype, which addresses technology risk; a quality management team, addressing execution risk; strategic relationships or signed partnerships, addressing market entry risk; and early product rollout or first sales, addressing production risk. Berkus originally assigned each a maximum of $500,000, for a ceiling of $2.5 million pre-revenue. That ceiling is dated. The structure is not.
What the Berkus Method gives you is a concrete vocabulary for a conversation that too often stays vague. A founder with a working demo and a signed pilot with a recognizable company scores meaningfully differently than a founder with a pitch deck and a market-size chart. Running the exercise yourself, honestly, across all five categories before your investor meeting forces you to stop claiming value you haven't actually created.
Scorecard Method: Comparing Against What's Actually Clearing
Bill Payne's Scorecard Method starts from the regional average pre-money valuation of comparable funded companies, then adjusts that base using weighted factors. The weights run roughly as follows: founding team strength at up to 30%, size of the market opportunity at up to 25%, product or technology at up to 15%, competitive environment at up to 10%, sales and marketing channels at up to 10%, need for additional investment rounds at up to 5%, and other factors including investor fit at up to 5%. Each category gets a multiplier above or below 1.0 based on how the company compares to the regional average, and the combined multipliers get applied to the baseline.
The 30% weighting on team is the most important number in the whole framework, and it's not accidental. Payne's method reflects what most early-stage investors will tell you directly: they're pricing the people as much as the idea. A repeat founder with a previous exit scores well above 1.0 here. A first-time founder in a competitive market does not, and no market-size argument fully compensates.
The method rewards founders who can anchor to a genuine comparable: a company at a similar stage, in the same sector and geography, that closed a round within the last 18 months. Those who cherry-pick the highest-profile exit in a vaguely adjacent category as their comparable tend to get corrected quickly, and the correction lands worse than if they'd never made the claim.
Risk Factor Summation
The third method is the most granular and, for many founders, the most uncomfortable. Risk Factor Summation starts with a base valuation drawn from regional comparables and adjusts it by scoring twelve categories of risk on a five-point scale from very positive to very negative. Each increment in either direction is worth roughly $250,000 in adjustment.
The twelve categories are management, business stage, legislative or political risk, manufacturing risk, sales and marketing risk, funding and capital raising risk, competition risk, technology risk, litigation risk, international risk, reputation risk, and potential for a lucrative exit.
The value here is not the arithmetic. It's that the method forces you to sit with the risks you'd usually minimize in investor conversations. A company operating in health data or financial services should score itself negatively on legislative risk, not mark it neutral because the regulation hasn't arrived yet. A startup six months from running out of runway, with no bridge in sight, needs to score funding risk accordingly. Founders who've done this exercise honestly before investor meetings find that the risk conversation in the room becomes something they're steering rather than surviving.
Running all three methods on the same company rarely produces the same number, and that gap is informative. A first-time founder with a working B2B SaaS product, a letter of intent from one customer, and a three-person team might score around $1.8 million under Berkus (limited team credit, no strategic partnerships yet), closer to $8 million under the Scorecard Method if the sector baseline is high and the team is credentialed, and land somewhere between those under Risk Factor Summation depending on technology and market risks. The spread tells you which of your strengths different investor types will weight most heavily, and it tells you where to build your argument before the meeting starts.
What VCs Are Actually Doing in the Room
Most early-stage investors aren't running one of these frameworks in a spreadsheet and presenting the output. They're using them as a rough mental scaffold, weighted toward the factors they personally prioritize, and anchoring to what comparable deals are clearing in the current market. The frameworks make explicit what usually stays implicit in the investor's thinking.
Y Combinator doesn't negotiate traditional pre-money valuations at the application stage, but the post-money valuation cap on its standard SAFE does the same work: it prices the company's risk relative to a known reference point. When Airbnb went through YC in 2009 at a valuation implying a company worth a few million dollars, the same logic applied. The gap between that number and where the company ended up is not an argument against using frameworks. It's a reminder that frameworks price current risk, not future outcomes.
The practical move is to run all three methods before any serious investor conversation. Not to pick the most flattering result, but to understand where they diverge. A high Berkus score and a weak Risk Factor score suggests you've built something real but haven't addressed what it takes to get it to market. That gap is exactly what a prepared investor will probe. Walking in having identified it yourself is the difference between a conversation you're part of and one happening to you.
Valuation is negotiation. Negotiation goes better when you understand what the other side is using to form their position. You won't always get the number you want, but you'll know why you didn't, and that's where the next round starts.
Also read: How to Bootstrap a Startup to $1M ARR Without Venture Capital • How to Find a Technical Co-Founder When You Have No Network • What Investors Look for in a Pitch Deck Is Not What Most Founders Think
