Good point here by @mtorygreen. Think generally, many don't (yet) understand how big and diverse the DeAI stack actually is.
Wondering what I mean?
1) Application/UX Layer:
@Infinit_Labs (agentic UX layer + strategy market)
@AIWayfinder (agent-driven UX automation)
@HeyAnonai (AI-driven DeFAI platform)
+++
2) AI Agent Infra Layers & Frameworks
@TalusNetwork (onchain coordination hub for AI agents)
@TheoriqAI (swarm coordination framework)
@Spectral_Labs (intelligent onchain agents)
@gizatechxyz (non-custodial algorithmic agents)
+++
3) AI-native Execution Layers
@NEARProtocol (AI-native high-performance blockchain)
@wardenprotocol (intelligent apps with native AI integrations)
@ritualnet (sovereign chain for AI)
+++
4) Inference & Open Intelligence Layers:
@opentensor (darwinian AI network)
@AlloraNetwork (self-improving ML network)
@SentientAGI (open-source AGI)
@Fetch_ai (world’s first Web3 LLM)
+++
5) Data Collection + Marketplace Layer:
@OpenledgerHQ (attributable data market + SLM finetuning)
@oceanprotocol (tokenized data market for AI)
@Hivemapper (decentralized map data)
@grass (data collection incentive infra)
@vana (open network for data sovereignty)
+++
6) GPU/Compute Layer:
@ionet (largest decentralized GPU aggregator)
@akashnet_ (decentralized compute network)
@AethirCloud (decentralized compute network)
@theblessnetwork (edge compute network)
+++
7) Privacy Layer:
@ArciumHQ (High-performance, parallelized MPC network)
@nillionnetwork (MPC-powered AI inference focused blind compute)
@zama_fhe (leader in the FHE game, co-processor network coming)
@inconetwork (modular privacy layer supporting TEE + FHE)
+++
8) Storage & DA Layer:
@eigen_da (hyperscale DA layer secured by Ethereum)
@0G_labs (AI-native L1 for storage, compute & scale)
@celestia (modular data availability layer)
+++
Note that there are many, many more projects for all these categories, this is just for exemplification purposes, stay tuned for a revised ecosystem overview in full.
When people talk about DeAI, there’s something they always forget:
Data.
Models are only as good as the information they’re trained on, and decentralized networks are emerging to supply it.
Two tokens to watch: $GRASS (web data) and $HONEY (map data)
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