Sequoia Paid Two Prices for One AI Lab, 70x Apart, in Weeks

Bloomberg reported on 22 October 2026 that venture firms are racing to invest in Emulate, an AI startup founded by Google DeepMind alumni that is three months old and has no official website or product, pushing its valuation into the billions. According to TechFlow’s summary of the report, investors paid rising prices inside the same funding round.

Forbes documented the same structure in June with figures from company filings. David Silver’s Ineffable Intelligence first raised $11 million from Sequoia and others at about $55 million before the new money, then about a month later raised $1.1 billion at $4 billion before the new money. Sequoia invested at both prices. Forbes wrote: “That’s over 70 times the price for the same company, just weeks apart.”

Business Pill · SCALING LAWS

A short Business Engineer explainer on scaling laws: why AI labs keep building bigger. It teaches the general idea only and says nothing about any company or investor in this piece.

What Was Reported

Bloomberg’s headline on 22 October was “AI Frenzy Sees Venture Capitalists Backing the Same Startup at Distinct Values”, and its web address describes tranched two-step rounds. TechFlow’s summary says the competition meant “different valuations for the same company within a single financing round.” We could not read Bloomberg’s full article, so its figures for Emulate’s round are not in this piece.

A tranche is one slice of a funding round. In a two-step round, a first group of investors buys shares at a lower price and a second group, sometimes including the first, buys later at a higher one. The headline valuation is usually the higher price.

Forbes says Ineffable’s first price came from “company filings”. The second tranche was paid by investors including Lightspeed, Index Ventures, DST Global and Sequoia. A person familiar with the deal told Forbes the majority of Sequoia’s money went in at the higher valuation. Sequoia and Ineffable declined to comment to Forbes.

The publicly reported number was $1.1 billion at a $5.1 billion valuation, called Europe’s largest seed round. Forbes reports Ineffable had “no near-term plans to launch products”. The gap between $55 million and $4 billion is about 73 times on our arithmetic, which matches Forbes’ “over 70 times”.

The Table: Billions Before a Product

We put the reported rounds of four young AI labs side by side, each with its age, its product status and who led. Rows marked “talks” are reported negotiations, not closed rounds.

Flapping Airplanes said on 21 October it had raised a $1 billion Series A at a $6 billion valuation, four times the $1.5 billion valuation of its January seed, TechFundingNews reported. “It still has no product on sale.” That is a rise of $4.5 billion in about nine months, or about $500 million a month on our arithmetic.

Tranches are not limited to labs without products. Forbes reported that Baseten, which provides infrastructure and compute to companies running AI tools, raised $1.5 billion “across two tranches, one at a $11 billion valuation and another at a $13 billion valuation.”

Why Investors Accept Two Prices

Forbes gives reasons from both sides. Labs need large sums for computing, so lead investors asked for better terms in return, Wing VC partner Zach DeWitt told Forbes. He said “the market’s so hot right now that you have no other choice really if you want to get exposure to some of the best companies.”

Foundation Capital partner Jaya Gupta told Forbes: “In a market where fundraising runs on vibes, a billion-dollar headline is worth a lot more than an accurate one.” Amplify partner Sarah Catanzaro told Forbes that a startup’s actual worth is usually the blended valuation, a weighted average across the tranches, and that this number usually goes unreported.

Sequoia partner Shaun Maguire, replying on X to Mercor chief executive Brendan Foody, wrote that other investors pay more for hot AI companies: “That’s multiples above what we’re willing to pay.” Forbes reports that corporate investors such as Nvidia, Google or Microsoft are said to be less sensitive to price because their checks soon turn into chip contracts and cloud deals.

Forbes also describes the risk to employees. Employees who join after a round is announced can get option prices close to the higher valuation rather than the blended one. “They’re taking more of the risk and capturing less of the upside,” Gupta told Forbes.

The Structural Read

As we read it, the money is raised early because the work needs computing first. Forbes reports that building an AI lab “requires tons of GPUs, meaning they need to raise massive amounts of capital right out of the gate to carry out serious research.”

As we read it, the first tranche buys ownership and the second buys the headline. Forbes writes that Sequoia gets “to back a star-studded team with just a concept at a lower price, getting more ownership that helps justify their investment and generate returns.”

As we read it, the number missing from the announcements is the blended price. Catanzaro told Forbes that the blended valuation usually goes unreported, so outsiders see the higher price only.

Three Implications

FOR FOUNDERS AND EARLY BACKERS Forbes reports that a first-tranche investor such as Sequoia in Ineffable’s case could see up to a 70x markup on paper before its own investment had settled.

FOR LATER INVESTORS As we read it, the later tranche carries the higher price, so its return depends on the lab growing into the headline valuation.

FOR EMPLOYEES WEIGHING OFFERS Forbes reports that people who join after a round is announced can get option prices close to the higher valuation rather than the blended one.

The Business Engineer Lens

This story maps onto the Business Engineer framework The AI Capex Map.

The framework sets out to map the financing of AI: “How the money flows, where it cracks, what it buys, who can absorb it, and what happens when revenue can’t catch up.”

As we read it, tranched rounds sit at the start of that flow: money raised before a product, at two prices, much of it spent on computing. The framework was published in May 2026 and does not discuss Emulate, Ineffable or tranched rounds.

What Is Not Established

We could not read Bloomberg’s 22 October article in full; the Emulate details come from its headline, its web address and TechFlow’s summary. Neither the size nor the prices of Emulate’s tranches are in what we read, and Emulate has not commented in any source we read. The FT figures for Emulate and the Bloomberg figures for Mirendil describe talks, and we have not seen either round confirmed as closed.

Forbes did not give Ineffable’s blended valuation, and we have not calculated one. The 73 times and $500 million a month figures are our arithmetic.

Connecting the Coverage

On 17 September we covered the FT report on Emulate’s talks at around $3.7 billion in our first Emulate piece. On 21 October we reported Flapping Airplanes’ $1 billion round as an update in our piece on Legora’s round, and on 22 October we covered Mirendil’s first model in our piece on the ex-Anthropic lab. On 21 October we also reported that Ineffable Intelligence was the first customer for Google Cloud’s Vera Rubin instances, in our piece on Google’s Rubin build.

What’s new today, as we read it, is Bloomberg naming the two-step structure for a three-month-old lab while it is still raising.

The Bottom Line

As we read it, the reported valuation of a young AI lab is often the price paid by the last investors in, not the whole round. Ineffable’s two prices, $55 million and $4 billion before the money, sat in one round about a month apart, according to Forbes, and Bloomberg now reports the same structure at Emulate.