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NeuralAI

NeuralAI — a reference card for a crypto project: what the product does and how verifiable the project’s key claims are; also — alignment with the Decentralized AI thesis (DecAI Fit).

NeuralAI — an AI/Inference | Infra project for generating 3D models (text‑to‑3D / image‑to‑3D): there is a user‑facing web product (dApp) and an open‑source implementation of a Bittensor subnet (miners/validators), where distributed miners generate 3D meshes and validators evaluate quality/speed. Token: NEURAL (ERC‑20 on Ethereum).

Disclaimer

Important: this page is a reference overview of the project. Within DecAIHub, we separately record a verification based on open sources within the AI thesis (what is real AI/onchain/why a token, and which sources this is based on).
This is not financial advice and not a recommendation to buy/sell/hold any asset. We do not assess price, returns, or entry/exit timing.
Conclusions are based on publicly available materials found as of the verification date. The absence of confirmation does not imply the absence of the technology.

TL;DR (for readers who are not into AI)

  • What it is: an “on‑demand” 3D asset generator + a distributed network of compute providers (miners/validators) for generation.
  • Who it’s for: game/VR developers, 3D artists, content teams.
  • Why onchain/token: the token is used for payments/access (token‑gated services) and in the incentive economy; separately, there is an onchain token layer (ERC‑20) and subnet mechanics in Bittensor.
  • What you can actually touch (Tier‑1): the public dApp gallery — https://app.goneural.ai/public-gallery; the technical description of the subnet (miners/validators) — https://github.com/GoNeuralAI/neural-subnet

How it works (very briefly)

  1. The user does: enters text/an image in the dApp to get a 3D model.
  2. The system does: (per the Tier‑1 repo) validators send requests to miners; miners generate a 3D mesh; validators render/compare and assign scores.
  3. The user gets: a 3D asset/mesh (and/or access to assets in the ecosystem).
  4. Where the blockchain is: incentives/weights/accounting of subnet participants are tied to the Bittensor approach (per the docs/README); the NEURAL token exists as an ERC‑20 asset on Ethereum.
  5. Token role (if any): (per the Tier‑1 docs) NEURAL is used in marketplace transactions and for token‑gated access to GPU rent / miner templates.

Quick links: AI thesis fit

Project passport

Field Value
Project name NeuralAI
Also known as (aliases) GoNeuralAI; Neural Subnet; $NEURAL
Logo (logo) ../assets/132_neuralai_logo.jpg
Token symbol (ticker) NEURAL
Category AI/Inference | Infra
Primary chain (chain) Bittensor
Type non-EVM
Network status —
Consensus (consensus) —
Launch date (launch_date) 2024-03-21 (token launch per the project website)
Project status (status) active
Token (standard) ERC-20
Token contract 0x32b053f2cba79f80ada5078cb6b305da92bde6e1
Token model (token_type) utility (token-gating + payments + rewards)
Max supply 10,000,000 NEURAL (Total Supply per the project website)
Issuance fixed cap (10M total supply claimed on the website)
Tokenomics (tokenomics, brief) marketplace: transactions in NEURAL + revenue share; token‑gated GPU rent / miner templates
Governance —
Admins/keys —
Audit yes (Hacken audits page)
Bug bounty —
Team (team) —
Funding (investors/funding) —
AI component (ai_component) 3D mesh generation from text/images
Use‑case (use_case) 3D assets for games/VR/simulations
DecAI Fit — AI thesis fit 5/6 — high alignment with the Decentralized AI thesis
DecAI Fit component summary 3 / 2 / 2 / 3
Last verified 2026-02-05

General project overview

In the Tier‑1 documentation, NeuralAI is described as a product that “leverages generative AI” for text‑to‑3D and image‑to‑3D, and also as an initiative to build a 3D AI Bittensor subnet: miners generate 3D assets, validators evaluate the results and assign weights/scores. The user side is visible as a dApp (public gallery), and the infrastructure side — as the open‑source code of the subnet.

Features/modules

  • 3D dApp: generation of 3D assets from text/images (positioning in the docs).
  • Subnet miners/validators: roles, installation and launch are described in the README.
  • Marketplace/economy: the docs claim asset tokenization, transactions in NEURAL and fee distribution.

Typical scenarios

  • Scenario 1 (user): enters a prompt → receives a 3D asset → exports/uses it in a pipeline.
  • Scenario 2 (miner): receives a task from a validator → generates a 3D mesh → sends it to the validator → receives a score/weight.
  • Scenario 3 (validator): distributes tasks among miners → compares the prompt and the renders → assigns scores and weights.

Getting started (wallet/network)

  • What you need: to view the demo — web access to the public gallery; for onchain operations — an Ethereum wallet and NEURAL (if participating in ERC‑20 operations).
  • Network/chain: token — Ethereum; the subnet part is described as a Bittensor subnet (non‑EVM).
  • Fees: Ethereum gas for ERC‑20 actions.

Architecture/tech (non‑AI)

  • Components: an open‑source subnet (Python); a generation environment (PyTorch/CUDA); the dApp.
  • Participant roles: miners (compute), validators (quality/scoring), users.
  • Where logic runs: generation — offchain; validation — offchain; incentives/weights — at the level of the Bittensor subnet mechanics (as an architectural goal/design).

Token/economics (expanded, no forecasts)

  • Token utility: the Tier‑1 docs claim that marketplace transactions are conducted in NEURAL and that services such as GPU rent/miner templates will be token‑gated.
  • Where fees go: the Tier‑1 docs describe a 5% fee and its distribution: 2.5% to holders / 2.5% to project growth.
  • Issuance/burn: a total supply of 10M is listed on the website; there are no other parameters in the available Tier‑1 sources → —.

Governance

  • Who makes decisions: —.

Security and incidents

  • Audits: the public Hacken audits page lists NeuralAI as an audited project on Ethereum.
  • Incidents: —.

Project status and timeline

  • Current status: the dApp (gallery) is available; the repo is published.
  • Key milestones: token launch 2024‑03‑21 (per the website); subnet versioning (v1/v2) is described in the README.

Ecosystem/integrations

  • Integrations: Bittensor (subnet), Ethereum (ERC‑20), the dApp.

AI component of the project

  • What is real AI here? generative model(s) create 3D meshes from text/visual inputs; validators evaluate quality using the “prompt → renders → similarity/scoring” scheme (described in the Tier‑1 repo).
  • What is truly onchain? the ERC‑20 token NEURAL on Ethereum and the claimed subnet economy based on Bittensor.
  • Why is a token needed? token‑gating of services (GPU rent/miner templates) and settlements/fees in the marketplace with revenue share (Tier‑1 docs).
  • Red flags (based on the information found): the onchain details of the Bittensor layer are not specified in the project’s docs (consensus/exact onchain primitives) → the assessment of onchain necessity is conservative.

DecAI Fit component summary

  • DecAI Fit: 5/6 — high alignment with the Decentralized AI thesis
Component Level Score
AI reality high 3
Onchain necessity medium 2
Token necessity medium 2
Evidence Tier‑1 present 3
Details

AI reality

AI_0 — AI intent (Tier‑1 roadmap) (1/0)

  • AI_0 (decision): 0
  • Claim (one line): the AI part is described and demonstrated as a working product and subnet, not only as an intent.
  • Evidence: Tier‑1 — https://docs.goneural.ai/neuralai; https://github.com/GoNeuralAI/neural-subnet
  • Why sufficient / why not (one line): the existence of a product/repository takes the project above the level of “AI intent”.
  • Conflict note (if any): —

AI_1 — what the AI does (1/0)

  • AI_1 (decision): 1
  • Claim (one line): text‑to‑3D and image‑to‑3D generation of 3D models.
  • Evidence: Tier‑1 — https://docs.goneural.ai/neuralai
  • Why sufficient / why not (one line): the Tier‑1 documentation directly describes text‑to‑3D / image‑to‑3D.
  • Conflict note (if any): —

AI_2 — demos/examples (1/0)

  • AI_2 (decision): 1
  • Claim (one line): the public gallery demonstrates examples of generated assets.
  • Evidence: Tier‑1 — https://app.goneural.ai/public-gallery
  • Why sufficient / why not (one line): an accessible public product artifact confirms the existence of demos/examples.
  • Conflict note (if any): —

AI_3 — metrics/quality (1/0)

  • AI_3 (decision): 0
  • Metrics: —
  • Context (version/date/how measured): —
  • Evidence: Tier‑1 — —
  • Why sufficient / why not (one line): there are no reproducible generation quality metrics in Tier‑1 sources.
  • Conflict note (if any): —

AI_4 — tech description/architecture/versions (1/0)

  • AI_4 (decision): 1
  • Claim (one line): the miner/validator roles and the generation/validation process in the subnet are described, plus deployment instructions.
  • Evidence: Tier‑1 — https://github.com/GoNeuralAI/neural-subnet (Miner and Validator Functionality; Installation)
  • Why sufficient / why not (one line): the README gives enough architecture/operations details to consider the technical description confirmed.
  • Conflict note (if any): —

Onchain necessity

OC_1 — contracts/addresses/chain (1/0)

  • OC_1 (decision): 1
  • Chain: Ethereum (ERC‑20 token) + Bittensor (subnet, per the positioning/README).
  • Addresses/identifiers: NEURAL ERC‑20: 0x32b053f2cba79f80ada5078cb6b305da92bde6e1.
  • Evidence: Tier‑1 — https://goneural.ai/; https://etherscan.io/token/0x32b053f2cba79f80ada5078cb6b305da92bde6e1
  • Why sufficient / why not (one line): the website and the explorer provide a verifiable onchain identifier of the token.
  • Conflict note (if any): —

OC_2 — onchain beyond just a token (1/0)

  • OC_2 (decision): 1
  • What useful logic is onchain: the subnet incentive economy (weights/scores) as part of the Bittensor approach (miners/validators).
  • Evidence: Tier‑1 — https://docs.goneural.ai/neuralai (Bittensor Subnet); https://github.com/GoNeuralAI/neural-subnet
  • Why sufficient / why not (one line): Tier‑1 sources describe the miners/validators subnet structure and scoring, which goes beyond “just a token”.
  • Conflict note (if any): —

OC_3 — onchain is critical (1/0)

  • OC_3 (decision): 0
  • “Replace the blockchain” test: the miners/validators incentives and weight accounting could theoretically be implemented without a blockchain (centrally) — Tier‑1 proof of the irreplaceability of the onchain layer is not provided.
  • Evidence: Tier‑1 — —
  • Why sufficient / why not (one line): there are no Tier‑1 statements/proofs that without onchain the layer breaks down functionally.
  • Conflict note (if any): —

Token necessity

TK_0 — no token (1/0)

  • TK_0 (decision): 0
  • Claim (one line): the project has a token, NEURAL (ERC‑20 on Ethereum).
  • Evidence: Tier‑1 — https://goneural.ai/; https://etherscan.io/token/0x32b053f2cba79f80ada5078cb6b305da92bde6e1
  • Why sufficient / why not (one line): there is a public website with the token parameters and an onchain token page.
  • Conflict note (if any): —

TK_1..TK_4 (1/0)

TK_1 — payment for the service (1/0)

  • TK_1 (decision): 1
  • Claim (one line): marketplace transactions are conducted in NEURAL.
  • Evidence: Tier‑1 — https://docs.goneural.ai/neuralai/utilities-summary
  • Why sufficient / why not (one line): the Tier‑1 docs explicitly state “All transactions are conducted using $NEURAL”.
  • Conflict note (if any): —

TK_2 — incentives/collateral/penalties (1/0)

  • TK_2 (decision): 1
  • Claim (one line): the marketplace fee is distributed between NEURAL holders and “project growth”; access to GPU rent/miner templates is token‑gated.
  • Evidence: Tier‑1 — https://docs.goneural.ai/neuralai/utilities-summary
  • Why sufficient / why not (one line): the Tier‑1 docs describe revenue share (2.5% holder rewards) and token‑gating as incentives/an access mechanism.
  • Conflict note (if any): —

TK_3 — governance (1/0)

  • TK_3 (decision): 0
  • Claim (one line): the governance role of the token is not confirmed in the Tier‑1 sources available without restrictions.
  • Evidence: Tier‑1 — —
  • Why sufficient / why not (one line): there are no clear Tier‑1 mentions of onchain governance via NEURAL.
  • Conflict note (if any): —

TK_4 — token is replaceable (1/0)

  • TK_4 (decision): 0
  • Claim (one line): per the Tier‑1 docs, NEURAL is the mandatory currency of marketplace transactions and the key to token‑gated services.
  • Evidence: Tier‑1 — https://docs.goneural.ai/neuralai/utilities-summary
  • Why sufficient / why not (one line): if all transactions and access are tied to NEURAL, the replaceability of the token does not follow from Tier‑1 sources.
  • Conflict note (if any): —

Evidence (table)

Tier Source What it proves
Tier‑1 https://docs.goneural.ai/neuralai Description of NeuralAI as generative AI text‑to‑3D / image‑to‑3D and as a Bittensor subnet for 3D modeling (miners/validators).
Tier‑1 https://github.com/GoNeuralAI/neural-subnet Tier‑1 technical artifact: miner/validator roles, description of the generation/validation pipeline, deployment instructions.
Tier‑1 https://app.goneural.ai/public-gallery Demo artifact: a public gallery of assets (example/demonstration of the result).
Tier‑1 https://goneural.ai/ Token parameters on the website (launch date, total supply) and the contract for purchase on ETH (link to the address).
Tier‑1 https://etherscan.io/token/0x32b053f2cba79f80ada5078cb6b305da92bde6e1 Onchain fact: the ERC‑20 token NEURAL and the contract address.
Tier‑1 https://docs.goneural.ai/neuralai/utilities-summary Tier‑1 token utility: marketplace transactions in NEURAL, token‑gated GPU rent/miner templates, revenue share (holder rewards).
Tier‑1 https://audits.hacken.io/neuralai/ Public mention of the audit/platform (Ethereum) on the Hacken audits page.

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