AI unicorn tracker: private AI companies valued over $1 billion (2026)
A running, sourced list of the private AI companies carrying billion-dollar price tags — what they do, their reported valuation, who backs them, and how firm the number really is. Every figure here is a reported mark, not an audited fact, and the list moves fast.
An AI unicorn is a private company, built around artificial intelligence, that has been valued at $1bn or more. In AI, the bar has been left far behind: a handful of frontier labs are now reported in the hundreds of billions, and the interesting question is no longer whether a company is a unicorn but how firm — and how reachable — its number really is.
The table below is a curated, sourced snapshot of the largest and most widely reported names as of mid-2026. Every valuation is a reported mark from a funding round, secondary trade or press report — not an audited fact — and almost none of these companies are open to ordinary investors.
The word "unicorn" was coined in 2013 to describe how rare a private company worth $1bn was supposed to be. In AI, that rarity has evaporated. Frontier labs raise sums that would once have been whole fund vintages, and valuations that used to take a decade now compress into a single year. The result is a list that is both extraordinary and unstable: extraordinary in the numbers, unstable because those numbers are set in private, revised often, and rarely mean quite what the headline suggests.
This tracker exists to hold that list still for a moment — carefully, and with the caveats intact. We update it monthly. What we will not do is pretend the figures are more solid than they are.
- A unicorn is a private AI company reported at $1bn+. In practice, the notable names now sit far above that, into the tens and hundreds of billions.
- The value is wildly concentrated. A small cluster of frontier labs — led, as reported, by Anthropic and OpenAI — accounts for most of the total on any list.
- These figures are reported marks, not audited facts. They come from last rounds, secondary trades and press reports, each imperfect in its own way.
- Almost none are open to ordinary investors. Primary rounds go to funds, strategics and large institutions; access is the binding constraint.
- The list changes constantly. A single new round can reset a company's mark by tens of billions within weeks.
What counts as an AI unicorn
For this list we count a company as an AI unicorn when two things are true: its core business is artificial intelligence — building models, tooling, infrastructure or applied AI products — and it has been reported at a valuation of $1bn or more, whether in a primary funding round or on the secondary market. We stay with private companies; once a company lists publicly, the market sets its price daily and it leaves the tracker.
We have deliberately kept the table to a manageable set of the largest and most widely reported names rather than attempting a full census. There are, by various counts, several hundred private AI companies above the billion-dollar line worldwide. A complete list would be longer, staler and thinner on sourcing than a curated one we can actually stand behind.
The tracker
Figures below are the most widely reported valuation for each company as of the date shown, rounded to sensible precision. Where a number is a target or a round still in progress rather than a closed deal, it is marked reported, unconfirmed. Read the methodology note beneath the table before drawing conclusions.
| Company | What it does | Reported valuation | Notable backers | Reported as of |
|---|---|---|---|---|
| Anthropic | Frontier AI lab; the Claude family of models, sold to consumers and enterprises. | ~$965bn | Sequoia, Altimeter, Coatue, GIC, ICONIQ, Google, Amazon | May 2026 |
| OpenAI | Frontier AI lab behind ChatGPT and the GPT model family. | ~$852bn | Microsoft, SoftBank, NVIDIA, Amazon, Thrive, a16z | Mar 2026 |
| xAI | Frontier lab behind the Grok models, tied to X. | ~$230bn reported, unconfirmed | NVIDIA, Cisco, Fidelity, Valor, Qatar Investment Authority, MGX | Jan 2026 |
| Databricks | Data and AI platform for building and running models on enterprise data. | ~$134bn higher round reported in talks | Thrive, a16z, Insight, NVIDIA, sovereign funds | Feb 2026 |
| Anysphere (Cursor) | AI coding environment; the Cursor editor and agents for developers. | ~$50bn reported, unconfirmed | Andreessen Horowitz, Thrive, Accel, Coatue, NVIDIA | Apr 2026 |
| Figure AI | Humanoid robotics; general-purpose robots powered by in-house AI. | ~$39bn | Parkway VC, Brookfield, NVIDIA, Intel Capital, Qualcomm, LG | Sep 2025 |
| Safe Superintelligence (SSI) | Research lab pursuing safe superintelligence; no commercial product. | ~$32bn | Greenoaks, Andreessen Horowitz, Sequoia, DST, Alphabet, NVIDIA | Mar 2025 |
| Scale AI | Data labelling and evaluation infrastructure for training AI models. | ~$29bn | Meta (large minority stake), Accel, Index, Founders Fund | 2025 |
| Mistral AI | European frontier lab; open-weight and commercial language models. | ~$13bn ~$23bn round reported in talks | General Catalyst, Lightspeed, a16z, NVIDIA, ASML, DST | 2025 |
| Thinking Machines Lab | Research lab founded by Mira Murati; foundation models and tooling. | ~$12bn | Andreessen Horowitz, NVIDIA, AMD, Cisco, Jane Street | Jul 2025 |
| ElevenLabs | AI voice and audio; speech synthesis, dubbing and voice agents. | ~$11bn | Sequoia, Andreessen Horowitz, ICONIQ, Salesforce Ventures | Feb 2026 |
| Perplexity | AI-native answer engine; conversational search over the live web. | ~$20–22bn reported range | NVIDIA, SoftBank, IVP, Accel, NEA, Bessemer | early 2026 |
| Glean | Enterprise AI search and work assistant over a company's own data. | ~$7.2bn | Wellington, Kleiner Perkins, Sequoia, Lightspeed, Coatue, DST | 2025 |
Valuations are reported marks — from primary rounds, secondary trades or press reports — rounded and attributed to an approximate date. "Reported, unconfirmed" and "in talks" flags mark figures from rounds still in progress or from single-source reports. Backer lists are illustrative, not exhaustive.
The shape of the list: value clusters at the very top
The first thing the table shows is how top-heavy it is. Two labs — Anthropic and OpenAI, as reported — carry valuations an order of magnitude above everyone else, and between them account for the large majority of the total value on the list. Add the next tier and a mere handful of frontier labs hold most of the reported worth of the entire private AI sector.
This matters beyond trivia. It tells you that "investing in AI" and "investing in the frontier labs" are, at these numbers, almost the same sentence — and that the labs are precisely the companies ordinary investors cannot reach. The long tail of applied-AI companies is more accessible but carries the ordinary risks of any early-stage software business, plus the specific risk of being built on a model provider that could change terms, prices or capabilities overnight.
The value in private AI is not spread evenly across a field. It is stacked, steeply, on a few names — and those few are the hardest of all to buy.
The access problem
Look down the backer columns and a pattern emerges: sovereign wealth funds, mega-cap strategics, the largest venture firms, a few crossover institutions. That is the guest list for these rounds. Primary allocations in the biggest AI companies are private placements, negotiated directly, and generally limited to accredited or professional investors with the scale and relationships to be invited. An ordinary investor, however keen, is not on that list.
There are indirect routes — secondary marketplaces where early employees or investors sell shares, single-deal SPVs that pool smaller investors into one line, and funds that hold positions in these companies. Each comes with trade-offs: high minimums, layered fees, illiquidity, and, on secondaries, prices that may bear little relation to the last primary round. None of them turns a closed round into an open one. The scarce thing is not capital; it is the allocation itself.
This is the whole reason a syndicate exists. When the binding constraint is being allowed into the round at all, reach — relationships, reputation, the ability to be a single clean line on a cap table — is worth more than enthusiasm or even capital. That is the gap Allocation10 works in: sourcing specific, off-market allocations and bringing members in one deal at a time. We will not claim to open the very largest frontier rounds to everyone — no one can — but for the deals we can reach, access is exactly the value we add.
How firm are these numbers, really?
Less firm than they look. A private valuation is usually just the price agreed in the most recent funding round — a figure negotiated between the company and a small group of investors, often wrapped in terms that the headline number hides: liquidation preferences, ratchets, differing share classes. A "post-money valuation" is arithmetic on that price, not a market clearing everyone into and out of the stock.
The alternatives are noisier still. Secondary trades reflect what a handful of buyers and sellers agreed on a given day, sometimes at a steep discount or premium to the last round. Press reports of rounds "in talks" describe a target, not a close, and deals get repriced or pulled. And any of these can be stale within weeks — a fresh round, a change in sentiment, or a strategic shift can move a mark by tens of billions before a tracker like this one catches up.
Methodology, in brief
We include private companies whose core business is AI and which have a credibly reported valuation of $1bn or more. For each, we take the most widely reported figure as of the stated date, round it to sensible precision, and note its approximate vintage. Where a figure comes from a round still in progress or a single source, we flag it. Backer lists are illustrative. Public companies are excluded. We revisit the list monthly and correct as new information lands.
Every valuation on this page is a reported mark, not an audited fact. These numbers come from private funding rounds, secondary-market trades and press reports — each of which is imperfect, and none of which is a live market price. Figures can be stale within weeks of a new round, and several here are explicitly flagged as reported but unconfirmed. Treat the whole table as indicative and time-stamped, not precise or current-to-the-day. If you are making any decision on the strength of a number here, verify it against the company's own announcement and primary reporting first. This is educational writing, not advice or a solicitation, and capital in private companies is at risk.
Used properly, a tracker like this is a starting map, not a scoreboard. It tells you where the value is reported to sit and how it is moving — and, just as importantly, how much of that value is locked behind rounds most people will never be invited to join.
Frequently asked questions
What is an AI unicorn?
An AI unicorn is a privately held company whose main business is artificial intelligence and which has been valued at $1bn or more in a funding round or on the secondary market. The term originally described any private company valued above $1bn; in AI the bar has risen so far that many of the best-known names are now worth tens or hundreds of billions, so "unicorn" is really just the entry point to the list.
What is the most valuable private AI company?
As reported in mid-2026, Anthropic is commonly cited as the most valuable private AI company, at a reported roughly $965bn post-money valuation following a large funding round, narrowly ahead of OpenAI at a reported roughly $852bn. These are reported marks from private rounds, not market prices, and the leadership between the two has changed repeatedly, so treat any "number one" claim as of a moment in time rather than a settled fact.
Can retail investors buy shares in private AI unicorns?
Mostly no. Primary rounds in these companies are private placements sold to venture funds, strategic investors and large institutions, and are typically limited to accredited or professional investors. Ordinary investors usually cannot buy in directly. The routes that exist — secondary marketplaces, SPVs, or funds that hold the shares — carry high minimums, extra fees, illiquidity and, on secondaries, no guarantee the price reflects the company's real worth. Access is the binding constraint, not enthusiasm.
How many AI unicorns are there?
There is no single agreed count, and it changes constantly as new rounds close and definitions differ. Various trackers place the number of private AI companies valued at $1bn or more in the low-to-mid hundreds globally as of 2026. This page focuses on a curated set of the largest and most widely reported names rather than attempting a complete census.
How accurate are private AI valuations?
Treat them as indicative, not precise. A private valuation is usually the price set in the last funding round — a negotiated figure between the company and a handful of investors, often with terms and preferences that a headline number hides. Secondary-market prices and press reports add further noise. These figures are reported marks, not audited facts, and can be stale within weeks of a new round or a change in sentiment.
This article is educational and general in nature. It is not financial advice, a recommendation, or an offer or solicitation to invest. All valuations shown are reported marks drawn from funding rounds, secondary trades or press reports — not audited facts — and may be inaccurate or out of date. Private company shares are high-risk and illiquid, and you may lose all of your capital. Always verify figures against primary sources before acting on them. Capital is at risk.