DeAI Project Directory

Compute Networks

Networks that aggregate and distribute GPUGPUGraphics Processing Unit. Originally designed to render video game graphics, GPUs turned out to be exceptionally good at the massively parallel math that AI models need. Modern AI training and inference runs almost entirely on GPUs.Like a factory with 10,000 workers doing the same simple task in parallel, versus a CPU which is more like 10 workers each doing different complex tasks. AI training involves doing simple math a million times per second on a million numbers, which is exactly what the GPU factory is designed for.Read more →/CPU compute for AI workloads.

Project	TokenTokenA digital unit of value or access rights tracked on a blockchain. Tokens can represent ownership in a project, a right to use a service, a share of future revenue, or simply a tradable asset with no underlying claim.Like a physical poker chip a casino issues. The chip itself has no value. What makes it worth something is what it lets you do at the casino, what the casino has promised, and how much other people will pay you for it.Read more →	Status	Focus	Review
Akash Network	AKT	Active	Permissionless compute marketplace. 70–85% below AWS pricing. Verifiable on-chain revenue ($3.15M in 2025).	Full review
Render Network	RENDER	Active	GPU rendering and AI inference. OctaneRender moat, Hollywood adoption. Permissioned, proprietary core.	Full review
io.net	IO	Active	GPU aggregation from data centres and miners. $20M+ annualised revenue (self-reported). 2024 Sybil attack history.	Full review
Nosana	NOS	Active	Solana-based GPU marketplace for AI inference. 2M+ deployments. Zero public revenue.	Full review
Gensyn	AI	Upcoming	MLMLMachine Learning. The branch of AI where systems learn patterns from data instead of being explicitly programmed with rules. Modern AI (LLMs, image generation, recommendation systems) is almost entirely machine learning.Like teaching a child to recognise dogs by showing them thousands of pictures of dogs, instead of writing down a precise rulebook for what makes a dog. The child learns the pattern from examples rather than from instructions.Read more → training verification via Proof-of-Learning. a16z-backed. Pre-mainnet.	Full review
Aethir	ATHATHAll-Time High. The highest price a token has ever reached. ATH is usually quoted as a reference point for how far the current price has fallen (or risen) since the peak.Like the record lap time on a racetrack. It tells you what the car has been capable of at its absolute best, not what it will do today. Whether that record gets broken again depends on conditions that may or may not come back.Read more →	Active	Enterprise GPU cloud for AI and gaming. Big revenue numbers, closed source.	Full review
Theta Network	THETA	Active	Decentralised cloud for AI, media and entertainment. Enterprise validators (Google, Samsung, Sony).	Full review
Flux	FLUX	Active	Fair-launched decentralised cloud. ~8,000 nodes across 67 countries. 0.7% team allocation. Six years running.	Full review
Golem	GLM	Active	The original decentralised compute network (2016). Permissionless P2P marketplace. 82% ICOICOInitial Coin Offering. A token sale where a project sells tokens directly to the public, usually before any product exists. ICOs dominated 2017-2018 funding and are now mostly replaced by airdrops, IDOs, or fair launches.Like a company selling shares to the public before going public, except with no SEC oversight, no audited financials, and often no product at all. The 2017 ICO boom showed why those guardrails exist in traditional finance.Read more → distribution. Zero protocol revenue.	Full review
Phala Network	PHA	Active	Confidential computingConfidential ComputeHardware-enforced computation where data and code are encrypted in memory and only the authorised application can access them. The machine's operator cannot read what the application is doing even though they own the machine.Like renting space in a bank vault. The bank owns the building and runs the security, but what you put in the vault is invisible even to the bank staff. Only you have the key.Read more → cloud using hardware TEEs. Data stays private from infrastructure providers.	Full review
FLock	FLOCK	Active	Decentralised AIDeAIDecentralised AI. An umbrella term for blockchain-based projects that build AI infrastructure (compute, data, inference, models, agents) without a single central provider controlling the system.Like the difference between streaming a movie from Netflix and sharing it via BitTorrent. Netflix is fast and polished but one company controls what you can watch and what you pay. BitTorrent is messier but no single operator can shut you out.Read more → training via federated learning on Base. NeurIPS-awarded. $2.7M protocol revenue in 10 months.	Full review

Intelligence and Platform Networks

Incentivised networks for AI model trainingTrainingThe one-time process of teaching a neural network to perform a task by showing it massive amounts of example data and adjusting its internal weights until the outputs are good. Training builds the model; inference uses it.Like the years an apprentice spends learning a trade. You don't see any of the actual work, just thousands of repeated mistakes gradually becoming competence. By the end, the apprentice can do the job. The training was invisible, but the skill is now permanent.Read more →, inference and coordination.

Project	Token	Status	Focus	Review
Bittensor	TAO	Active	Largest DeAI network. Incentivised AI subnet competition. 50+ active subnets. dTAO market-driven emissionsEmissionsNew tokens created and distributed by a blockchain protocol over time as rewards to validators, stakers, or miners. Emissions fund network security and participation at the cost of diluting existing holders.Like a company that pays employees partly in newly printed shares. Every year the total number of shares goes up, which means existing shareholders own a slightly smaller slice of the same company unless the company grows faster than the printing.Read more →.	Full review
NEAR Protocol	NEAR	Active	Sharded L1L1Layer 1. A base blockchain that runs its own consensus mechanism, executes transactions, and settles its own state. Bitcoin, Ethereum, NEAR, and Solana are all L1s. Anything built on top of an L1 is technically a Layer 2 or higher.Like the foundation of a building. Nothing else can exist on top until the foundation is solid. Different L1s make different tradeoffs for what kind of building they can support.Read more → pivoting to AI. Co-founded by transformer paper co-author. Chain abstraction, 46M monthly active users.	Full review
Intelligent Internet	FC	Upcoming	Sovereign AI protocol with three-layer blockchain. Founded by ex-Stability AI CEO. Pre-launch.	Full review
Allora	ALLO	Active	Self-improving inference network using regret-based modelModelA trained neural network that takes inputs (text, images, audio) and produces outputs (more text, classifications, generated content). In DeAI the model is the thing that actually does the work.Like a very experienced apprentice who has spent years watching thousands of masters make furniture. They can't explain how they know when a joint is right, but they can make a chair that looks and functions like a Chippendale. The training is invisible. The output is what matters.Read more → aggregation on Cosmos SDKSDKSoftware Development Kit. A collection of code libraries, documentation, and tools that lets developers integrate a service into their applications without writing everything from scratch. SDKs are how projects become easy to build with.Like a plug-and-play kit for building furniture. You don't have to mill your own wood, forge your own screws, or design the joinery from scratch. The kit gives you pre-cut parts and instructions so you can assemble the thing in an afternoon.Read more →. Zero verified revenue.	Full review
ORA	ORA	Active	Verifiable AI oracle via opML. Co-authored ERC-7641 and ERC-7007. Token down 99.85%, effectively illiquid.	Full review

Agent Platforms

Platforms and protocols for building autonomous AI agents.

Project	Token	Status	Focus	Review
Morpheus	MOR	Active	Personal AI agents on decentralised compute. Fair launchFair LaunchA token launch where everyone has the same access from day one. No private sale, no insider allocation, no VC discount. Tokens are distributed by mining, staking, or open public sale at a single price.Like a 100m sprint where everyone starts behind the same line at the same time. Some runners are faster, but nobody gets to start 10 metres ahead because they paid extra. The race is decided by the run, not by who bought the best position.Read more →. Power Factor stakingStakingLocking up a cryptocurrency to help secure a blockchain network, usually in exchange for rewards. The locked tokens act as a security deposit that can be taken away if the staker misbehaves.Like putting down a large rental deposit for an apartment. You get the money back if you behave, you earn interest while it's locked, and the landlord takes it if you trash the place.Read more →. Compute marketplace live.	Full review
Olas	OLAS	Active	Multi-agent service framework across nine blockchains. 14.5M transactions, 542 daily active agents.	Full review
Fetch.ai / ASI Alliance	FET	Active	Autonomous economic agents. Merged with SingularityNET and CUDOS. Ocean withdrew October 2025.	Full review
Virtuals Protocol	VIRTUAL	Active	AI agent launchpad on Base. 17,000+ agents, $39.5M cumulative revenue. Centralised GAME inference engine.	Full review
ElizaOS	ELIZAOS	Active	Most popular open-source AI agent framework in web3. 17,600+ GitHub stars, 583 contributors.	Full review
Warden	WARD	Active	Purpose-built L1 for AI agents with verifiable inference (SPEX). Still early, token down 93% from TGETGEToken Generation Event. The moment a project's token first becomes tradeable. TGE is when vesting clocks usually start, when liquidity hits exchanges, and when public price discovery begins.Like the IPO day for a startup. Everything that happened before TGE was private valuations and paper agreements. Everything after is the public market deciding what the thing is worth in real time.Read more →.	Full review

Data Networks

Decentralised data sourcing, labelling, storage and knowledge for AI.

Project	Token	Status	Focus	Review
Ocean Protocol	OCEAN	Active	Pioneered Compute-to-Data model. Withdrew from ASI Alliance October 2025. Active litigation over $120M in disputed tokens.	Full review
Grass	GRASS	Active	Largest bandwidth-sharing DePINDePINDecentralised Physical Infrastructure Networks. Protocols that use token incentives to coordinate real-world physical infrastructure like GPU compute, wireless networks, storage, mapping sensors, or bandwidth.Like crowd-sourced ride-sharing but for physical hardware. Uber incentivises drivers with dollars. DePIN incentivises hardware operators with tokens. The network grows because individuals choose to contribute capacity in exchange for rewards.Read more →. 8.3M monthly active nodes. Scraping petabytes of web data for AI training. Entirely closed source.	Full review
Vana	VANA	Active	User-owned DataDAOs for personal data. 1.3M+ users. Strong data sovereignty architecture.	Full review
Sahara AI	SAHARA	Active	AI blockchain with real data labelling product. $51.5M raised. Blockchain not yet live.	Full review
OriginTrail	TRAC	Active	Decentralised Knowledge Graph turning data into verifiable Knowledge Assets. Best tokenomics in DeAI, real enterprise adoption.	Full review
Cookie DAO	COOKIE	Active	AI agent analytics platform. Indexes 1,500+ agents via cookie.fun. Centralised, zero open source.	Full review
Oasis Network	ROSE	Active	Privacy-first L1 with confidential smart contracts via TEE-powered ParaTimes. Best academic pedigree, worst adoption ratio.	Full review

Privacy and Inference

Privacy-focused AI inference and model servingInferenceRunning a trained AI model to produce an answer. Inference is what happens when you type a prompt into ChatGPT and get a response. The model takes your input, computes a best guess, and returns it.Like asking an expert for their opinion. The training was the decades they spent becoming an expert. The inference is the 30 seconds it takes them to answer your specific question.Read more →.

Project	Token	Status	Focus	Review
Venice AI	VVV	Active	Privacy-first AI inference. No logs, no content filtering. Stake VVV for DIEM inference credits.	Full review
Nillion	NIL	Active	Blind computation via MPCMPCMulti-Party Computation. A cryptographic technique where multiple parties jointly compute a function over their inputs without any party revealing its input to the others. Useful for shared computation on private data.Like a group of friends calculating the average of their salaries without anyone revealing their actual salary to the others. Each person contributes a piece of the answer, and the pieces combine into the result, but nobody learns anything except the average itself.Read more →, homomorphic encryptionFHEFully Homomorphic Encryption. A cryptographic technique that lets you compute on encrypted data without decrypting it. The result is also encrypted, and only the data owner can read it. FHE is the strongest form of computational privacy.Like sending a sealed box of ingredients to a chef, having the chef cook a meal inside the box without ever opening it, and getting back a sealed box with the finished meal. Only you can unseal it and see what's inside.Read more → and TEEs. Strong thesis, pre-revenue.	Full review
Sentient	SENT	Active	Open-source protocol for community-owned AGI with cryptographic model ownership (OML). Biggest VCVCVenture Capital. Private investors who fund projects at an early stage in exchange for equity or token allocations. VC rounds are typically pre-launch, at steep discounts to any future public price, with multi-year vesting.Like angel investors in a startup who buy shares before the company goes public. They take more risk because the company might fail, so they get a better price. Once the company IPOs they can sell, and the public market pays whatever price it thinks is fair.Read more → bet in crypto-AI.	Full review

DePIN and Machine Economy

Networks connecting physical infrastructure and machines to AI.

Project	Token	Status	Focus	Review
peaq	PEAQ	Active	L1 for the Machine Economy. 60+ DePINs. Machines as economic participants. Minimal revenue.	Full review
IoTeX	IOTX	Active	EVM-compatible L1 for DePIN and real-world AI. Device identity (ioID), ZK-verified data. 6+ years mainnet.	Full review

Local and Personal AI

Tools for running AI on your own hardware. No tokens, just software.

Tool	Type	Platform	Notes
Ollama	Model runner	Mac, Linux, Windows	Easiest way to run local models. OpenAI-compatible APIAPIApplication Programming Interface. A structured way for one piece of software to talk to another. In DeAI, APIs let applications request inference from a model without running the model themselves.Like a waiter in a restaurant. You don't walk into the kitchen and cook your own meal. You tell the waiter what you want, they tell the kitchen, the kitchen cooks it, and the waiter brings it back. The API is the waiter.Read more →.
LM Studio	Model runner + UI	Mac, Linux, Windows	GUI for downloading and running local models.
llama.cpp	Inference engine	All platforms	C++ inference engine. Maximum control and performance.
Open WebUI	Chat interface	Web (self-hosted)	ChatGPT-style interface for local models.
Agent Zero	Agent framework	Docker	Open-source autonomous agent. Works with any OpenAI-compatible API.

How to use this directory

This is a starting point, not investment advice. All 34 token projects listed above have full reviews using our six-point framework with both a freedom score and returns score.

The dashboard at /projects/ shows all scores, grades and quadrant positions at a glance.

Additions, corrections and suggestions: reach out on X (@ownyourmindai).