DGrid AI Is Worth $700M on Paper. Its Token Float Is 15%.

DGrid AI launched with DGAI up 93% and a $700 million fully diluted value, but only 15% of the token trades and the $20M revenue was membership fees.

Ramy Morton Altcoins

DGrid AI listed its token on August 25 and the chart did what launch charts tend to do. DGAI ran to about $0.70, up roughly 93 percent in a day, as the DGrid AI network went live billing itself as a marketplace for AI inference across distributed nodes. At that price the circulating market cap sits near $105 million. The fully diluted value is close to $700 million. Those two numbers sit far apart, and the distance between them is most of the story.

Only 15 percent of DGAI is actually trading

Of a fixed one billion supply, about 150 million tokens circulate. That is the 15 percent behind the $105 million market cap. The other 85 percent is spoken for but not yet in the market, which is how a token worth $105 million today carries a $700 million valuation on paper. If the phrase is unfamiliar, that headline number is the fully diluted value, the price of every token as if all of them traded at once.

The published allocation, on BNB Chain, breaks down like this.

AllocationShareTokens
Nodes and rewards50%500M
Community15%150M
Team10%100M
Investors10%100M
Airdrops8%80M
Initial liquidity7%70M

Half the supply is earmarked for node operators and emissions that arrive over time. A thin float over a large locked balance is a familiar shape in this corner of the market. CHIP jumped 26 percent on a GPU-lending thesis while 80 percent of its supply stayed locked, and the overhang eventually mattered more than the pitch.

The $20 million in revenue was membership fees

The figure repeated across the launch coverage is $20 million in revenue before listing. It is real money and it is verifiable on a public BNB Chain treasury wallet. What it is not is inference revenue. According to the launch reports, the sum came from the DGrid AI Genesis premium program, which signed up more than 13,000 paying members at an average of about $1,580 each. Multiply those and you land near $20.5 million.

Members buy network access, hardware credits, monthly token credits, model services, and a membership NFT. So the $20 million measures how many people paid to join, not what the network earned once it started routing AI requests. That distinction is the one worth holding onto, because a token's price and what its network actually earns are separate facts. MANTA showed the extreme version, where the unlocks were nearly finished and the chain earned about $13 a day. Big top-line numbers can also mask a falling token: Huma Finance moved $12 billion in volume while its token fell 82 percent.

What sits under the price

DGrid AI raised a $5 million seed in July, backed by Waterdrip Capital, IoTeX, Paramita, and Zenith Capital. The token generation event landed in mid-August, and the DGrid AI sale priced DGAI near $0.705. That last detail cuts against the 93 percent headline. By ICO Analytics' reckoning the current price is roughly a 1x return on the sale, so the pop everyone cited runs off the listing floor rather than off what early buyers paid.

Decentralized AI has produced loud debuts before, and not all of them held up under a second look. Covenant AI went as far as calling Bittensor decentralization theater. The honest read on DGrid AI is that the membership money is genuine and on-chain, the network is live, and the valuation is still leaning on the 85 percent of supply that has not arrived. The number to track from here is not the launch-day candle. It is whether inference volume and node count climb toward a $700 million valuation before those locked tokens start unlocking into the float.

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Ramy Morton
Author

Ramy Morton

Ramy Morton is Coinliva's Markets & On-Chain Analyst. He covers crypto markets with a focus on price action, ETF flows, derivatives positioning, stablecoin movements, and exchange reserves. His analysis is built on primary data sources including Glassnode, CryptoQuant, Coinglass, and ETF issuer disclosures.