Series A Fundraising: What Investors Want to See
Series A investors fund evidence, not potential: retention that proves product-market fit, a sales motion that works without the founder, unit economics that justify more spend, and clean numbers. In Q1 2026 the median US Series A was $19.6m at a $62m pre-money valuation, but AI companies raise at far higher prices than everyone else.
- Median US Series A deal (Q1 2026)
- $19.6m (average $39.6m)
- Median US Series A pre-money (Q1 2026)
- $62m; AI $78.0m vs non-AI $42.4m
- Typical dilution
- About 18% for software rounds (Carta data)
- Plan for
- 3–6 months of process and 12+ months of runway when you start

15+ years in finance: 100+ financial models built, €40m+ raised for clients, Forbes contributor and lecturer.
Who this guide is for
This guide is for founders who have raised a seed round, have real revenue, and are deciding whether and when to raise a Series A. The seed round was about belief. The Series A is about evidence. Below is what the market looks like in 2026, what investors test, what to prepare, and a checklist to tell you whether you are ready.
What Series A really means in 2026
A Series A is usually your first priced round led by an institutional venture fund. It signals that the company has moved past proof of concept into a business that can scale with more capital.
The 2026 market is expensive and split. According to the PitchBook-NVCA Venture Monitor, the median US Series A pre-money valuation reached $62m in Q1 2026, nearly triple the $21m recorded in 2020, and the median deal size rose to $19.6m from $7.5m. The average deal was $39.6m, far above the median, because a few very large rounds pull it up. Half of all early-stage deals now exceed $10m.
The split is mostly about AI. The same report puts the median Series A pre-money at $78.0m for AI companies and $42.4m for non-AI companies, and shows AI companies moving between rounds faster: a median of 1.3 years between VC rounds in 2026, against 1.8 years for non-AI companies.
| US Series A, Q1 2026 | Figure | Source |
|---|---|---|
| Median deal size | $19.6m | PitchBook-NVCA |
| Average deal size | $39.6m | PitchBook-NVCA |
| Median pre-money valuation | $62m | PitchBook-NVCA |
| Median pre-money, AI vs non-AI | $78.0m vs $42.4m | PitchBook-NVCA |
| Median software round (6 months to July 2026) | $14.4m raised at $80m post-money | Carta, via Waveup |
| Median software dilution (same period) | About 18% | Carta, via Waveup |
Data sets disagree because they cover different samples, so treat these as ranges, not targets. A solid B2B software company without an AI angle should benchmark against the non-AI and software figures, not the headline median. These figures are US-only; if you are raising in Europe, benchmark against regional data.
Series A vs. seed: the real difference
Seed investors back founders and a market. Series A investors back a business with measurable traction.
| Dimension | Seed | Series A |
|---|---|---|
| What is being tested | Team, insight, market | Retention, repeatable sales, unit economics |
| Revenue evidence | Early customers, design partners | Recurring revenue with a clear growth trend |
| Sales | Founder-led | A process that works without the founder on every deal |
| Diligence | Light | Financial, commercial, legal and technical |
| Financial reporting | Bank and bookkeeping | Monthly accounts, cohort data, a credible model |
What investors really want to see
Behind every term sheet are three questions. Is this a real, large market? Is this the team that will win it? Can the fund underwrite a large return from this entry price? Everything in your deck and data room should answer those three with evidence.
1. Product-market fit with proof
"Customers love us" is not proof. Investors look for retention cohorts that flatten rather than decay, net revenue retention that shows customers expand, organic or referral demand, and sales cycles that shorten over time. A product-market-fit survey (asking users how disappointed they would be without the product) helps as supporting evidence, not as a replacement for retention data.
2. A repeatable go-to-market motion
Can the company grow without the founder closing every deal? Investors look for a defined ideal customer profile, a written sales process, at least one salesperson other than the founder who closes consistently, and conversion rates that hold steady across quarters.
3. Unit economics that justify scaling
The new money will mostly go into acquiring customers. Investors want to see that each customer returns more than it costs, within a reasonable time. Our guide to the LTV:CAC ratio explains how to calculate it honestly, including the gross margin adjustment many founders skip.
4. A believable path to a large outcome
Funds price your company on what it could become in five to seven years. Your financial model has to show how today's revenue becomes a much larger business through specific levers: new segments, geographies, products or pricing. "Huge market" claims without a bottom-up build do not survive diligence.
5. A team that can execute
Investors want complementary founders, a plan for the first senior hires, and evidence that you can recruit. Reference calls on the founders usually start soon after a partner gets interested.
The metrics that matter
Every Series A conversation turns on a handful of numbers. Know them cold, know the drivers behind them, and make sure they reconcile to your accounts. The ranges below are the working rules of thumb we use for B2B SaaS when pressure-testing readiness. They are not market statistics, and investors in AI or vertical software may weigh growth and efficiency differently.
| Metric | What investors read from it | Our working range for B2B SaaS |
|---|---|---|
| ARR and growth | Demand and momentum | Low single-digit millions, growing well over 2x a year |
| Gross revenue retention | Product stickiness | 85–90%+ |
| Net revenue retention | Expansion within the base | Above 100%, ideally 110%+ |
| Gross margin | Quality of revenue | 70%+ for software |
| CAC payback | Speed of return on sales spend | Under 18–24 months |
| Burn multiple (net burn ÷ net new ARR) | Capital efficiency | Under 2x |
| Customer concentration | Revenue risk | No single customer above about 15–20% |
For definitions and how to calculate each one, see our guide to SaaS financial metrics.
Building a bulletproof data room
The data room decides whether interest turns into a closed round. A messy one signals a messy company; a clean one shortens diligence. Build it before the first meeting.
- Corporate: cap table, incorporation documents, board minutes, shareholder agreements
- Financials: 24 months of monthly P&L, balance sheet and cash flow, receivables and payables aging, reconciled to the bank
- Revenue analytics: cohort retention table, ARR bridge (new, expansion, contraction, churn), customer concentration, contract value trends
- Sales and marketing: pipeline by stage, CAC by channel, payback, win/loss analysis
- Product and technology: roadmap, architecture overview, security posture
- Customers: contracts for the largest accounts, references willing to take a call
- Legal: material contracts, IP assignments, employment agreements, any disputes
- Model: three-year financial model, monthly for the first 18–24 months, with the use of funds
Our board reporting pack template covers the monthly reporting investors will expect after the round, and it is worth having it running before you raise.
The Series A pitch deck structure
The deck earns the meeting; the data and conversations close the round. Most strong Series A decks run 12–16 slides.
- Title: company, one-line description, headline traction
- Problem: who has it and what it costs them
- Solution: the product in one sentence and one screen
- Why now: the shift that makes this possible today
- Traction: revenue, growth, logos, retention curve
- Business model: pricing, contract terms, unit economics
- Go-to-market: channels, CAC by channel, sales motion
- Market: bottom-up market sizing
- Competition: an honest map and your defensible angle
- Team: founders and key hires
- Financials: history and a three-year summary
- The ask: amount, use of funds, milestones to the next round
Two slides that lose credibility fast: a hockey-stick projection with no drivers behind it, and a competition slide that claims you have no competitors.
The fundraising process: timeline and tactics
A well-run process takes three to six months from the start of preparation to cash. These phases are typical in our experience; momentum companies move faster.
| Phase | Typical duration | Key activities |
|---|---|---|
| Preparation | 6–8 weeks | Deck, data room, model, target list, warm introductions |
| First meetings | 2–4 weeks | Partner meetings, run in a tight window |
| Deep dives | 2–3 weeks | Partner meetings, customer calls, model review |
| Term sheet | 1–2 weeks | Negotiation of headline terms |
| Diligence and close | 4–6 weeks | Confirmatory diligence, legal documents, funds wired |
Run a compressed process
Competitive tension is your main source of leverage. Schedule first meetings within about two weeks, tell investors your timeline, and move second meetings together. A process that drags signals that nobody is leading.
Target the right investors
Build a list of funds that have led Series A rounds in your category recently, and find the specific partner who covers your space. Warm introductions from founders in their portfolio usually beat cold outreach.
Top mistakes that kill Series A rounds
- Raising too early. Investors talk. A failed round at weak metrics makes the next attempt harder. Wait until the numbers hold for at least a full quarter.
- Founder dependency. If only the founder can sell, recruit or fix the core system, the business does not yet scale.
- Customer concentration. One customer at a large share of revenue is a risk investors will price in or walk away from.
- Numbers that do not tie. Investors rebuild your metrics from the raw data. If their ARR does not match yours, trust goes quickly. An independent model review before you go out is cheap insurance.
- Negotiating terms alone. Liquidation preferences, anti-dilution, board seats and the option pool decide what you keep. Use experienced counsel.
- Anchoring valuation badly. Too high stalls the process; too low gives away ownership. Use recent rounds in your category and stage, not the headline median.
- Running out of time. Rounds slip. Start with at least 12 months of runway so a delay does not become a crisis.
The Series A readiness checklist
Every "no" below is a reason to fix something first.
Metrics
- Recurring revenue with a clear, sustained growth trend
- Retention cohorts that flatten, and net revenue retention above 100%
- Gross margin in line with your category
- CAC payback you can defend by channel
- At least 12 months of runway at current burn
Operations
- Monthly close completed within about 10 business days
- Clean cap table with every grant documented
- Contracts for the largest customers signed and stored centrally
- At least one senior hire outside the founders
- A documented sales process with a closer other than the founder
Materials
- Deck (12–16 slides) led by traction
- Data room covering all eight areas above
- Three-year model, monthly for the first 18–24 months
- Customer references identified and briefed
- Target list of funds with named partners and introduction paths
Team and governance
- Founders aligned on dilution, board composition and use of funds
- Experienced startup counsel engaged
- A finance lead or fractional CFO to run diligence responses
- Board ready to support the process
How we use this with clients
Ideally we start working with founders six to nine months before a Series A. The first job is a diagnostic: rebuild the key metrics from the accounting and billing data, the way an investor's analyst will, and see whether they match what the founder has been reporting. They often differ, usually on ARR definitions, churn timing or how gross margin treats hosting and support costs. Fixing that before diligence is far cheaper than explaining it during diligence.
Then we look at three things. Unit economics: CAC payback and LTV:CAC by channel, with gross margin applied, so the plan for the new money rests on numbers that hold. Cash: runway under a slower-than-planned close, and how much to raise to reach Series B milestones with a buffer. Reporting: a monthly investor-grade pack and data room that stay current, so diligence is a download, not a project.
During the round we build and defend the model, prepare the data room, and answer financial diligence questions so the founders can focus on investors. Across our work we have helped clients raise more than €40m. Our fundraising support page describes how the engagement works.
Next step
If you are six to twelve months from a Series A, now is the time to check that your numbers will survive diligence. Book a free CFO diagnostic call and we will tell you what investors are likely to question first.
Related questions
How much should I raise in a Series A?
Raise enough to reach the milestones that make a Series B straightforward, usually 18–24 months of runway plus a buffer for a slower plan. Work backward from the hiring plan and burn in your model, not from what peers raised. Raising too little sends you back to market early; raising too much raises the bar for the next round.
What dilution should I expect at Series A?
Carta's software data for the six months to July 2026 shows median Series A dilution of about 18%, as summarized by Waveup. On top of that, investors often ask for the option pool to be topped up before the round, which dilutes existing holders further. Model both together so you know your real post-round ownership.
How long does a Series A take?
Plan on roughly six to eight weeks of preparation, then three to four months from first partner meetings to money in the bank. Processes run faster for companies with strong momentum and slower for everyone else. Start when you still have at least 12 months of runway so you never negotiate from a cash deadline.
Do I need an investment banker for a Series A?
Usually not. Series A investors expect to deal directly with the founders, and the round is small relative to a banker's fee model. Experienced startup counsel and a finance lead who can build the model, run the data room and answer diligence questions add more value at this stage.
What if I do not have product-market fit yet?
Then a Series A is premature. Investors will test retention and sales repeatability in diligence, and weak signals end the process. Consider a seed extension or bridge, cut burn to extend runway, and focus on retention and a repeatable customer profile before going out again. A failed round makes the next attempt harder.
Sources
Pages opened on 2026-10-15. Market data is US-focused and moves every quarter. Carta figures are cited via Waveup's summary because Carta's own pages could not be opened. Metric ranges in the body are our working rules of thumb, not market statistics.
















