When a $2 Billion Seed Round Is Normal: Real Funding Data from 1,190 Startups

TL;DR

We verified the funding data of 1,190 startups currently hiring on our platform. The results show that traditional funding stage labels have become nearly meaningless: $2B seed rounds, $900M Series A rounds, and 40% of all early-stage funding going to $100M+ deals. Our data, combined with industry benchmarks from Carta and Crunchbase, reveals a market where a handful of AI-adjacent megadeals are distorting the entire venture landscape.

Our Data: Median Funding by Stage

We maintain verified funding data for 1,190 companies — all actively hiring, spanning Pre-Seed through Series G+. Here's what the numbers show:

Stage	Companies	Median Round Size	Median Total Raised	Industry Benchmark*
Pre-Seed	21	$0.6M	$1.5M	~$0.7M (Carta)
Seed	191	$6.1M	$7.5M	$3.1-4.0M (Carta/Pitchwise)
Series A	443	$20M	$28.1M	$12-15M (Crunchbase)
Series B	201	$50M	$85.4M	$38-40M (Pitchwise)
Series C	109	$100M	$200M	~$80M (Pitchwise)
Series D	49	$130M	$375M	$96.5M (Pitchwise)
Series E	20	$260M	$759M	—
Series F	7	$300M	$958M	—

*Industry benchmarks from Carta State of Private Markets 2025, Crunchbase H1 2024, Pitchwise 2026

Why our numbers are systematically higher: Our sample is biased toward AI and high-growth tech companies — the kind that are actively hiring. According to Pitchwise, AI/ML seed rounds carry a 1.3x premium over the broader market, and AI Series A valuations are 1.7x the overall median per Carta.

This isn't a flaw — it's a feature. If you're job-hunting at startups, these are the companies you'd actually work at.

The Mega-Seed Phenomenon

The most striking finding: "Seed" no longer means what you think it means.

Seed Rounds Over $100M in Our Database

Company	Seed Amount	Date	Founder Background
Thinking Machines Lab	$2,000M	2025-06	Mira Murati (ex-OpenAI CTO)
AMI Labs	$1,030M	2026-03	Yann LeCun (ex-Meta Chief AI Scientist)
Humans&	$480M	2026-01	Ex-Anthropic, xAI, Google researchers
Unconventional AI	$475M	2025-12	Naveen Rao (ex-Databricks AI, sold Mosaic ML for $1.3B)
Periodic Labs	$300M	2025-09	—
Genesis AI	$105M	2025-07	—

The pattern is unmistakable: "Seed" just means "first round." It says nothing about size, maturity, or product readiness.

As Crunchbase noted about Thinking Machines Lab's $2B seed:

"It's not even close. The next-largest U.S. seed financings have all been in the $200 million to $450 million range."

Investor Ashish Saboo called it:

"Expensive FOMO... beyond pre-revenue. It's pre-everything. Pure bet on human capital."

Series A: The New Hundred-Million-Dollar Club

Our data shows 17 companies that raised $100M+ Series A rounds:

Company	Series A Amount	Date	Sector
Pacific Fusion	$900M	2024-10	Nuclear Fusion
Tempo	$500M	2025-10	Blockchain/Payments
Lila Sciences	$350M	2025-10	AI/Biotech
Ricursive Intelligence	$300M	2026-01	AI Chip Design
Liquid AI	$250M	2024-12	AI Infrastructure
Fundamental	$225M	2026-02	AI/Data Analytics
Upscale AI	$200M	2026-01	AI Infrastructure

Pacific Fusion's $900M Series A used a milestone-based structure where funds unlock as the company hits targets — a structure borrowed from biotech. But critics noted:

"As soon as a milestone is missed (which is almost inevitable when working on challenging science and engineering), that will force revaluations and renegotiations. Therefore, any money beyond what is unlocked is not actually guaranteed."

Ricursive Intelligence went from $35M Seed to $300M Series A in just 2 months, reaching a $4B valuation four months after founding.

The 50/1 Rule: Half the Money, One Percent of the Companies

The most important number from 2025 venture capital:

"50% of all the venture capital raised in 2025 went to 1% of the companies." — Crunchbase Predicts 2026

In Q1 2026, this concentration intensified further. Crunchbase reported:

"Investors poured $300 billion into 6,000 startups globally in the quarter... AI shattered records, with $242 billion — 80% of total global venture funding — going to companies in the sector."

"Four of the five largest venture rounds ever recorded were closed in Q1 2026, with OpenAI ($122B), Anthropic ($30B), xAI ($20B) and Waymo ($16B) collectively raising $188 billion, or 65% of global venture investment in the quarter."

Our employee count data illustrates what this concentration means in practice:

Stage	Most Common Employee Bucket	Second Most Common
Seed	11-50 (60%)	1-10 (39%)
Series A	11-50 (67%)	51-200 (25%)
Series B	51-200 (60%)	11-50 (27%)
Series C	51-200 (43%)	201-500 (39%)
Series D	201-500 (43%)	51-200 (31%)

Translation: a typical Seed company is still a 15-person team — even when it has $475M in the bank.

The AI Distortion Field

According to Kruze Consulting citing PitchBook data:

"AI/ML deals captured 65.6% of all VC deal value in 2025 ($222B out of $339B), up from 47.2% in 2024 and just 10% in 2015."

Crunchbase's year-end analysis found:

"In AI, 58% of funding was in megarounds of $500 million or more."

"The two largest foundation companies, OpenAI and Anthropic, alone captured 14% of global venture investment this year."

What does this mean for non-AI startups? A Series A crunch is real. Axios reported:

"Only 15.5% of companies that raised seed funding in Q1 2023 had secured a Series A by Q1 2025."

"46% of all seed transactions in Q1 2025 were bridge rounds" — the highest proportion ever recorded by Carta.

What Stage Labels Actually Mean Now

Based on our data and external research, here's what the labels actually indicate in 2026:

Label	What It Used To Mean	What It Means Now
Pre-Seed	Friends & family, $50K-$500K	Still mostly small, $0.6M median
Seed	First institutional check, $1-3M	First round of any size ($0.25M to $2B)
Series A	Product-market fit, $5-15M	Second round of any size ($0.25M to $900M)
Series B	Scale, $20-40M	Third round, roughly $50M median
Series C+	Growth/pre-IPO	Actual growth stage, $100M+

As Crunchbase's Joanna Glasner put it:

"The stereotype of a round at this stage — a small, risky bet on an unproven founder — may need some updating."

What This Means for Job Seekers

If you're evaluating startup job offers, here's what our data suggests:

Funding amount alone tells you nothing about company maturity. A $500M "Seed" company might have 10 employees and no product. A $15M Series A company might have 100 employees and $10M ARR.
Look at employee count, not funding stage. Our data shows employee count is a far better indicator of company maturity than funding round labels.
The safest bet is Series B-C with 51-200+ employees. These companies have proven product-market fit AND have the capital to grow.
Be cautious with mega-funded early-stage companies. History shows that massive early funding doesn't guarantee success — Inflection AI raised $1.3B but was effectively acqui-hired by Microsoft within a year.

This analysis is based on FastAI Jobs' verified database of 1,190 actively-hiring companies as of April 2, 2026. Browse companies by funding stage at fastaijobs.com/companies.

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