Crypto exchange MNX takes on OKX, BitGet offering pre-IPO futures for AI giants
MNX is offering a different way to trade the future valuations of private AI companies, including OpenAI, Anthropic and DeepSeek.
A new cryptocurrency exchange will allow investors to speculate on the valuations of private artificial intelligence (AI) giants like OpenAI and Anthropic when they go public.
MNX, which was developed by Manifold Markets, went live on Tuesday offering futures contracts tied to OpenAI, Anthropic, DeepSeek and Moonshot. The platform, built on MegaETH blockchain, raised $6.4 million from investors led by Village Global in June.
Larger crypto exchanges, including OKX and Bitget, already offer contracts that let traders bet on the value of private AI companies without owning their shares.
Unlike Bitget’s perpetual futures which never expire, MNX offers contracts with expiration dates at the end of 2027 and incur no recurring funding fees. OKX also offers contracts with no expiration dates, but uses a different funding mechanism.
The investment is a bet that financial markets have yet to catch up with the enormous amounts of money flowing into artificial intelligence, according to Village Global.
"AI is driving one of the largest investment cycles in history, despite the financial infrastructure around it remaining quite underdeveloped," said Max Killberg of Village Global. He said the firm sees an opportunity to develop financial markets around AI, rather than simply back another prediction market.
Manifold Markets co-founder Stephen Gruggett told CoinDesk that MNX’s approach is better suited to private companies such as OpenAI and Anthropic, whose shares trade infrequently and are difficult to price.
"OpenAI, Anthropic secondaries are illiquid and hard to price," he said. "A perp based on an illiquid, stale price is worse than meaningless: it doesn't behave the way investors expect; it's easy to manipulate; and it may have a very high and unpredictable funding rate."
Traders can also use up to three times their available funds, increasing both potential profits and losses.
Prices are determined by trading activity on MNX rather than an external price feed. If a company remains private when its contract expires, the exchange uses publicly available valuations from funding rounds, investment funds or secondary markets. As a last resort, MNX can determine the settlement price itself, subject to a published review princess.
That means traders could end up settling their bets at a price different from what investors might actually pay for shares in a private transaction.
The exchange does not currently serve U.S. customers, although Grugett said it plans to obtain the necessary licenses.
MNX also aims to offer markets around the wider AI economy, including company revenue, employment, housing, the AI supply chain and computing capacity.
AI has become a huge sponge for investment capital, although exposure to the boom is concentrated in a handful of tech companies. The largest U.S. hyperscalers are expected to spend at least $800 billion this year and more than $1 trillion the next, Bitcoin Suisse’s Crypto Wealth Management Report 2026 shows.
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Asanat Analysis — Why it matters
MNX's pre-IPO futures product targeting AI unicorns signals growing institutional appetite for synthetic exposure to private company valuations outside traditional venture channels. By competing directly with OKX and BitGet—established derivatives platforms—MNX is capitalizing on crypto's structural advantage: 24/7 markets with minimal regulatory friction compared to traditional pre-IPO trading platforms. This echoes the 2021 FTX/Alameda play on illiquids, though with different risk mechanics.
The inclusion of OpenAI, Anthropic, and DeepSeek reflects where capital-markets logic now intersects AI hype. Pre-IPO derivatives create pricing discovery mechanisms, but they also concentrate tail risk: if any of these companies' valuations reset sharply (regulatory scrutiny, funding rounds at lower valuations, or operational setbacks), these contracts become worthless. The arbitrage between crypto-native pricing and eventual public-market debuts—if those occur—may be substantial. This product class tests whether derivatives platforms can sustainably trade unverified valuations of private entities without becoming venues for information asymmetry and legal liability.