Compare / Dapper Labs vs Liquid AI
DAPPER LABS
Dapper Labs created CryptoKitties — the game that introduced the world to NFTs and accidentally crashed the Et…
LIQUID AI
Almost every AI company is building a bigger version of the same transformer that powers ChatGPT. Liquid AI de…
AT A GLANCE
FUNDING HISTORY
Dapper Labs
Liquid AI
BUSINESS MODEL
Dapper Labs
Platform and marketplace — Dapper Labs builds NFT products and earns revenue from primary sales (minting new NFTs and selling them to users), marketplace transaction fees (5% on peer-to-peer trades), and licensing fees paid to sports leagues for using their IP. The company also built the Flow blockchain, which it controls and operates.
Revenue is heavily tied to NFT trading volume and new user acquisition. The licensing deals with NBA, NFL, UFC, and LaLiga give Dapper Labs exclusive rights to create digital collectibles from official content — a massive competitive moat when the market is hot, and a significant cost burden when the market cools.
Liquid AI
Liquid AI builds foundation models, the big general-purpose brains that power chatbots and other AI tools. The difference is efficiency.
Their models, called Liquid Foundation Models, are designed to do more with far less memory and computing power. Companies pay to use them, either through a cloud API or by running the models on their own machines.
That second option matters. A bank or a hospital often cannot send private data to someone else's server.
Liquid AI lets them keep the model in-house. The pitch to a customer is basically this.
You get strong AI without renting a mountain of expensive chips.
HOW THEY STARTED
Dapper Labs
Roham Gharegozlou was running a blockchain company called Axiom Zen when his team launched CryptoKitties in November 2017 — a game where users could buy, breed, and trade digital cats as NFTs on Ethereum. It went so viral that it congested the entire Ethereum network and accounted for 25% of all Ethereum traffic.
CryptoKitties proved that people would pay real money for unique digital assets, but it also proved that Ethereum couldn't handle consumer-scale applications. Gharegozlou spun out Dapper Labs in 2018 to solve both problems: build consumer NFT products AND build a blockchain (Flow) that could actually handle millions of users.
The NBA came calling in 2019, licensing their highlights for what became NBA Top Shot. When Top Shot launched in October 2020, a LeBron James dunk clip sold for $208,000.
By February 2021, Top Shot was processing $50 million in daily transactions. The NFT boom had arrived and Dapper Labs was at the center of it.
Liquid AI
Liquid AI is a spinout from MIT's Computer Science and Artificial Intelligence Laboratory, better known as CSAIL. The core science came from Ramin Hasani, who spent his PhD studying the nervous system of a tiny worm called C.
elegans. That worm has just 302 neurons and still manages to move, hunt, and react to its world.
Hasani and his collaborators asked a simple question. What if you built an AI that worked more like those neurons and less like a giant static network?
The answer was the liquid neural network, a model whose internal wiring keeps adjusting even after training is done. The team incorporated the company in 2023.
Daniela Rus, who runs CSAIL and is one of the most respected robotics researchers alive, came on as a co-founder. So did Mathias Lechner and Alexander Amini, both longtime research partners of Hasani.
HOW THEY GREW
Dapper Labs
Licensing deals with major sports leagues gave Dapper Labs content that no competitor could replicate. NBA Top Shot specifically targeted sports fans, not crypto enthusiasts — a much larger addressable market.
The custodial wallet and credit card payments removed every crypto friction point, making it possible for someone with zero blockchain knowledge to buy an NFT in two minutes. Pack drops with limited supply created urgency and excitement similar to physical trading card releases.
Building the Flow blockchain gave Dapper Labs control over transaction costs and speed, avoiding Ethereum's congestion and gas fee problems. Celebrity involvement (Michael Jordan, Kevin Durant, Will Smith all invested) generated press coverage and credibility.
Liquid AI
The growth angle is size, or the lack of it. Most frontier models are so heavy they only run in data centers.
Liquid AI aims for models light enough to run on a phone, a car, or a factory robot. That opens doors the giants cannot easily reach.
The AMD partnership pushes the same idea. AMD makes chips, and it wants efficient models that show off its hardware.
So AMD led the Series A and became both an investor and a distribution partner. Liquid AI also releases open models to researchers, which builds a following before the sales team ever makes a call.
THE HARD PART
Dapper Labs
The NFT market collapsed. NBA Top Shot's monthly sales fell from $224 million in February 2021 to under $5 million by late 2022.
The $7.6 billion valuation from 2021 looks nearly impossible to justify with current revenue. Massive layoffs — the company cut over 50% of staff in multiple rounds through 2022 and 2023.
The Flow blockchain never achieved the developer adoption needed to become a major ecosystem — most NFT activity stayed on Ethereum and later Solana. Licensing deals with sports leagues require minimum guarantees regardless of volume, creating fixed costs that hurt when revenue drops.
Regulatory risk — the SEC has investigated whether NBA Top Shot moments are unregistered securities. And the core question: are digital sports highlights a lasting collectible category or were they a pandemic-era novelty?
Liquid AI
The honest problem is Goliath. OpenAI, Google, Anthropic, and Meta have raised tens of billions of dollars between them.
Liquid AI has raised under $300 million. The transformer architecture those giants use is battle-tested and improving fast.
Liquid AI has to prove its different approach not only works but keeps working as models get bigger. Betting against the most successful design in AI history is bold.
It is also the kind of bet that ends in either a great acquisition or a quiet shutdown, with not much room in between.
THE PRODUCTS
Dapper Labs
NBA Top Shot — officially licensed digital basketball highlights ("moments") sold as NFTs. Users buy packs, trade moments, and complete challenges.
NFL All Day — same concept applied to American football highlights. UFC Strike — officially licensed UFC fight moments as NFTs.
LaLiga Golazos — Spanish soccer league highlights as digital collectibles. Flow blockchain — Dapper Labs' own blockchain designed for consumer applications, used by NBA Top Shot and other products.
Dapper Wallet — custodial crypto wallet that works with credit cards, removing the complexity that makes normal crypto wallets unusable for regular people.
Liquid AI
The main products are the Liquid Foundation Models, a family that ships in several sizes so a customer can pick the smallest one that does the job. The second generation, LFM2, arrived in 2025, including LFM2-VL vision-language models built for phones, laptops, wearables and embedded chips.
The company has leaned hard into on-device AI rather than the cloud. The focus is always the same.
Match the quality of a much larger model while using a fraction of the memory and power.
WHO BACKED THEM
Dapper Labs
Investors include Andreessen Horowitz, Coatue Management, GV (Google Ventures), Samsung, and celebrity investors including Michael Jordan, Kevin Durant, and Will Smith. The $7.6 billion valuation was reached in a 2021 funding round.
Liquid AI
It started with a $37.5 million two-stage seed in December 2023 at a $303 million valuation, from OSS Capital, PagsGroup, Automattic (the company behind WordPress), Samsung Next and others. Angels included GitHub co-founder Tom Preston-Werner, Shopify's Tobi Lütke and Red Hat co-founder Bob Young.
Then AMD Ventures led the $250 million Series A in December 2024, which is unusual because AMD is a chipmaker, not a typical venture fund. That backing gave Liquid AI both money and a hardware ally.
When a major chip company writes the lead check on an efficiency-focused model maker, it signals a bet that the future of AI is not just bigger, it is leaner.