The New Series A Test: Revenue, Repeatability, and Reality

Startup funding now tells two very different stories. Huge checks are flowing into artificial intelligence, yet far fewer young companies are making it from seed to Series A. The gap points to a tougher question for founders: can they turn early excitement into repeatable revenue?

Global startups have closed at least 114 Series A rounds worth $100 million or more so far this year, Crunchbase reported in late September, and more than 70% went to AI companies. At the same time, U.S. startups closed 272 Series A rounds in the third quarter, down about 28% from 377 a year earlier.

Seed funding held up better, with 984 rounds compared with 1,059. The median U.S. seed round reached about $3 million last year, three times its 2018 level, but larger seed checks have not translated into more Series A progress. Only 24% of companies that raised a $1 million-plus seed in 2023 moved past seed, and just 16% of the 2024 cohort has done so. Through 2020, that figure was 55% or higher.

Series A Has Become a Revenue Test

Series A investors now expect $2 million to $3 million in annual recurring revenue, and sometimes $4 million. The trip from seed to Series A has also stretched past two years, giving investors more time to examine whether growth comes from a real sales process or from the founders’ personal networks.

Atomic shows what that path can look like. The New York-based supply chain planning software company, founded in 2023, raised a $3 million seed in April 2025, led by Madrona and DVx Ventures. About 17 months later, Atomic closed a $12.5 million Series A led by Madrona and Klass Capital.

The lesson is simple: the Series A bar is now a revenue bar, which makes it a go-to-market problem first. A company at $2 million in ARR with a sales process a new hire can run is a better candidate than one at $3 million built on founder-led deals nobody else can repeat.

MGV’s process reflects that shift. The work starts with a session called Sales Jumpstart, followed by workshops on outbound reach, qualification, customer profiling, the funnel, objection handling, hiring assessment, compensation plans, fundraising, deck building, storytelling, and investor introductions, with mentoring alongside.

MGV co-founder and managing partner Marc Schröder is committed to establishing the firm as the premier venture firm for world-class tech entrepreneurs to accelerate their visions. Under Schröder’s stewardship, MGV has swiftly ascended to a top-quartile firm, surpassing the performance of 95% of venture funds.

A Frothy Market With Uneven Access

At this year’s TechCrunch Disrupt, three investors offered advice on raising a round, along with a warning from Shailendra Singh, a managing director at Peak XV. “Seed and venture, I’ve never seen it as dysfunctional as it is now,” Singh said, calling the current market one of the hardest he has seen.

Singh said companies now sometimes try to close a round with as many as three different prices at once. “[I]’s a crazy sign of market froth,” he said. Jahanvi Sardana, a partner at Index Ventures, gave the practice a name: “We’re calling it the ‘tranchopalooza,’” referring to rounds split into separate chunks.

The market also rewards founders who can recruit. “Founders who can attract very high-quality talent have an advantage,” Singh said. Janelle Teng Wade, a partner at Bessemer, said capital is flowing into defense, robotics, and AI infrastructure, while foundational model companies move toward vertical integration and take on more of the technology stack themselves.

That still leaves room for neo-clouds that rent out AI computing power and neo-labs focused on AI research. Teng Wade recalled how her firm evaluated Anthropic in its early days, when its margins were negative and it was spending heavily on compute. One partner believed AI would be “bigger than everything we’ve ever expected in terms of price premium on the frontier models,” becoming a substitute for other types of software.

The source says Anthropic is now preparing an IPO at a valuation of around $2 trillion and told investors this month that it was profitable on an adjusted basis, though that measure excludes some costs. The source also says Jeff Dean’s new AI science startup is seeking a valuation as high as $50 billion, OpenAI cofounder Ilya Sutskever’s Safe Superintelligence is worth $32 billion, and Mira Murati is raising a round for Thinking Machines Lab at around $40 billion.

Neolabs Face the Biggest Debate

Those valuations have created a growing divide over whether neolabs can make their economics work against frontier labs with formidable resources. A VC at a top firm called neolabs the most hotly debated investment type: some investors say nobody should back them, while others say investors should back little else because software is dead and companies must own models or hardware.

Menlo Ventures partner Matt Murphy called neolabs the most overhyped sector. “The opposite thing you want to do is start a match with a bonfire,” Murphy said. “That’s the risk of what’s going on now with companies raising such large rounds.” Still, investors know most startups will burn enormous sums on compute and talent without becoming profitable, while a rare winner could become a foundational AI company worth hundreds of billions or more.

Rosenberg said, “We’re confident that the best neolabs will attract ongoing support,” adding that talent continues to move from incumbents and academia into founder roles. Radical and New Enterprise Associates wrote a bullish view in June, while Andrew Schoen said some neolabs were finalizing billion-plus-dollar equity rounds that were moving smoothly and quickly.

There are only 130 U.S. tech companies, public or private, valued at $10 billion or more. That is roughly 20 to 30 new companies per decade for the last five decades, yet 42 decacorns have been minted privately this year with a quarter still to go. Menlo partner Venky Ganesan quipped that there was more AUM in the room than in many countries, given the attendees’ net worth and investment capital.

Singh urged founders to present clean, honest data. “If you ever show a chart which shows cumulative revenue or cumulative ARR, that is a massive red flag,” he said. “It means that your time series data is not good because cumulative data is a big lie.” He warned of “false positives” because “it can’t be that every company is going to be successful.”

“This is as optimistic as I’ve seen the venture world in two decades,” Singh said. “I think 2027 will be different. I think we will see a correction.” His advice was blunt: building a company is one of the “most excruciatingly difficult things” one can do, so founders should not rush, should watch for weak product-market fit, and should hold the bar high. “Deal with it,” he said.

Sardana warned founders not to let fundraising shape the product. “It feels like [founders are] deciding what to build based on what’s getting funded, which is really scary,” she said. Teng Wade offered a different fundraising lesson: “I would say just be audacious in your ask,” then see how the market responds and tailor from there.

Funding Activity Beyond the Big Rounds

Business Wire listings from October 20 through October 29, 2026, show how broad the activity has become. Dren Bio announced $350 million in financing to advance Dibotatug toward commercialization and accelerate its broader pipeline on October 29. Daversa was named to Fortune’s 2026 Best Workplaces for Women List, while Synthflow launched Vector, a long-horizon AI agent for lenders that does not stop when the call ends, both on October 28.

On October 27, HoloMD appointed Silicon Valley entrepreneur Irene Lang as CEO and cofounder to accelerate commercialization of continuous precision psychiatry. Powerful Medical received a CPT Code for AI ECG heart attack detection weeks after FDA De Novo Authorization of Queen of Hearts, and Listen Labs launched Listen Twins, AI models that predict how real customers behave.

Formic raised $50 million to scale physical AI across American manufacturing, while Chapter acquired Ridgeway to expand its leadership position in AI and transform retirement for American seniors, both on October 22. Ultra Security emerged from stealth with a $10M seed round to secure autonomous runtimes, and Hephaestus exited stealth after raising $17.2M to supply rare-earth-free HTS superconductors and build low-cost fusion power, both on October 21. On October 20, Resolight shared first standard support for Nanosecond OCS to enable a step change in AI workload economics.

The message across the market is hard to miss: capital remains available, but it is not available on equal terms. For most startups, a big seed round is no longer the finish line or even proof of momentum. The next test is measurable revenue, a repeatable sales engine, and a business strong enough to survive when the froth fades.

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