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AI crypto companies: 314 of 581 name an AI product

By NAUT Research · · 7 min read

314 AI crypto companies of 581 AI-tagged projects name an AI product in their own description. Logos: Mind Network, ChainGPT, Kaito, aiPump, Hive Intelligence, UnifAI Network, Aiden Labs, 375ai, Astra Nova, Almanak, DeFAI, Pentagon Games.

NAUT tracks 314 AI crypto companies whose own description names an actual AI product, out of 581 published project rows carrying NAUT's AI sector tag, read on 4 November 2026. This page profiles 24 of them, the 4 highest-scoring rows in each of 6 categories, with the NAUT page for every company so a BD team, a founder or an investor can go straight to its team.

How this list was built: on 4 November 2026, NAUT read every live company row tagged AI. 684 rows carry the tag. 581 of those are published project rows with a description, and 314 of the 581 (54%) name an AI product, agent, model or AI infrastructure in that description, so the other 267 are left out of every count below. The 314 sort into 6 categories by what the description says the product does, plus 122 that name an AI product and match none of the 6 patterns. 192 of the 314 have a live token. Trust score is the score each company's own NAUT page shows on 4 November 2026, out of 10. Anyone listed can ask NAUT to remove their page at https://naut.so/legal/data-deletion.

Which AI crypto companies are on NAUT, and in what category?

The 314 split as follows. The Profiled column is how many of each category appear in the tables below, which take the 4 highest trust scores per category. In every table below, the What it does column is the company's own NAUT description, cut to its product.

Category Projects Profiled here
AI agents and automation 74 4
AI infrastructure and compute 71 4
AI-powered DeFi and trading 16 4
AI content, companions and social 14 4
AI gaming 10 4
AI data and analytics 7 4
No category match 122 0

AI agent crypto projects are the largest group at 74 rows, and with AI infrastructure they hold 145 of the 314 between them, so a BD team selling developer tooling, compute or data has the widest field there. The 3 smallest categories, AI data and analytics, AI gaming and AI content, hold 31 rows in total, which is a list short enough to work end to end in a day.

AI agents and automation: 4 of 74

Project What it does Trust score
AI agents and AI traders on Hyperliquid, Solana and Base 6.89
Unified API making blockchain data usable by AI agents 6.71
AI-native infrastructure for agentic finance 6.49
All-in-one AI platform for investment and project ratings 6.47

AI infrastructure and compute: 4 of 71

Project What it does Trust score
Says it is the first FHE infrastructure keeping data and AI encrypted 7.28
AI data network backed by robotics maker Rice Robotics 6.36
AI infrastructure protocol on Solana 6.12
Web3 data sampling and auto-labelling AI infrastructure 6.11

AI-powered DeFi and trading: 4 of 16

Project What it does Trust score
AI model for Web3: no-code contracts, audits and trading 7.25
AI-run automation for DeFi yield farming 6.40
AI DeFi platform with portfolio analysis and autonomous investing 6.39
DeFi trading and portfolio management on intents and AI 6.10

AI data and analytics: 4 of 7

Project What it does Trust score
AI-powered structured data on crypto news and sentiment 7.07
Edge data intelligence network on Solana 6.46
AI crypto and NFT analytics with real-time alerts 5.66
Pays verified contributors for the human layer of AI 5.64

AI content, companions and social: 4 of 14

Project What it does Trust score
AI co-pilot turning plain language into on-chain transactions 6.06
Decentralised AI character protocol on Solana 5.99
Open-source AI for fast photo and video generation 5.92
AI content engine for Web3 games, apps and communities 5.74

AI gaming: 4 of 10

Project What it does Trust score
Web3 metaRPG using AI for a player-centric experience 6.46
Web3, AI and XR platform for making games 6.17
Says it is the first modular chain for AI in gaming 5.91
AI agents for gaming and engagement on TON 4.95

Live AI crypto tokens sit on 192 of the 314 rows, and on 22 of the 24 profiled here. Aiden Labs and G-Agents AI do not, which makes them the 2 rows here where a token listing, market making or launchpad pitch still has something to sell.

Which AI crypto companies score highest on NAUT trust?

Highest NAUT trust scores among the 24, score out of 10 on 4 November 2026
  1. Mind Network7.28
  2. ChainGPT7.25
  3. Kaito7.07
  4. aiPump6.89
  5. Hive Intelligence6.71
  6. UnifAI Network6.49
  7. Aiden Labs6.47
  8. 375ai6.46
  9. Astra Nova6.46
  10. Almanak6.40

Ranked by the trust score each company's NAUT page showed on 4 November 2026. The 10 highest run from 7.28 at Mind Network down to 6.40 at Almanak, and the full set of 24 runs down to 4.95 at G-Agents AI. The score moves with how much verified data NAUT holds on a company, so a high row usually also carries a team to contact.

Which AI crypto companies have raised, and who backed them?

NAUT put 1 funding claim for each of 10 of the 24 companies to a source outside NAUT on 4 November 2026. 6 came back with a figure the source itself showed, and those 6 are below. 3 are left out because the runner could not find the quoted line on the page it read, and 1 came back contradicted. The remaining 14 of the 24 had no funding claim checked at all, so this table is a sample and never the full picture for all 24.

Company Raised Named investors Source date
$15M MH Ventures, Selini Capital, Mysten Labs 1 Sep 2025
$10.8M across 4 rounds Dragonfly, The Spartan Group, Sequoia, Mirana Ventures 22 Jun 2023
$10M since 2022 Delphi Ventures, Strobe Capital and HackVC (leads), with 6MV, ARCA, Primal and EV3 9 Oct 2025
$10M across 2 private rounds Saudi Telecom Group, NEAR Foundation, MH Ventures, YGG, Solana Foundation and 10 more 17 Jun 2025
$4.7M None named: the source says a consortium 5 Aug 2025
$3M M31 Capital (lead), Base Ecosystem Fund, MH Ventures 1 Jun 2025

For Kaito, the ICO Drops page showed "Total Raised $10.8 M In 4 rounds from Dragonfly, Spartan Group, Sequoia". ChainCatcher reported HeyElsa's $3M round as led by M31 Capital, and reported Everlyn's $15M round for on-chain video. The PublicAI row names 5 of the 15 firms The Block lists across its 2 rounds. Every investor named here is the one that source names rather than the whole backer set, and NAUT's own record of backers for these rounds can hold more or fewer names.

NAUT also checked the stored X handle for 3 of the 24 against the live account on 4 November 2026. All 3 matched: @Chain_GPT for ChainGPT, @KaitoAI for Kaito and @mindnetwork_xyz for Mind Network. The other 21 handles were not checked against the live account.

What this tells a BD team

  • The field is wider than the AI tag suggests. 314 rows name an AI product, so a list built off the tag alone carries 267 rows that do not, and a first pass over any AI prospect list should read the description.
  • 2 categories hold the volume. AI agents and automation (74) and AI infrastructure and compute (71) are where a tooling, compute, data or audit seller has the most doors.
  • 192 of the 314 have a live token, so exchange listing, market making, custody and compliance pitches land on a different half of the list than a pre-token pitch does.
  • The 2 pre-token rows profiled here, Aiden Labs and G-Agents AI, are the launch-services targets in this cut.
  • 6 of the 24 have a funding figure a source outside NAUT showed, from $3M at HeyElsa to $15M at Everlyn, which is a direct read on what each can spend.
How a BD team can work the 314
  1. Pick the categoryAI agents (74) and AI infrastructure (71) hold 145 of the 314 rows.
  2. Cut by token192 of the 314 have a live token, so a listing or market-making pitch has 192 doors and a launch pitch has the rest.
  3. Open the NAUT pageEvery row here links to its page, which lists the team NAUT holds.
  4. Reach the right personVerified Telegram, email and LinkedIn sit on the person's NAUT page on any paid plan.

What this tells a founder raising an AI round

  • Your competitive set is countable. 16 rows name AI-powered DeFi or trading, 7 name AI data and analytics, so a deck that claims a crowded or empty field can be checked against the count.
  • The highest trust scores in this cut, 7.28 at Mind Network and 7.25 at ChainGPT, sit with companies that have a lot of verified data on file, which is the bar a new row is measured against.
  • Raises in this sample cluster around $10M: Kaito at $10.8M, 375ai at $10M and PublicAI at $10M, all from sources dated between June 2023 and October 2025.
  • The investors named in those checked rounds, among them Dragonfly, Sequoia, Delphi Ventures, HackVC, Saudi Telecom Group, MH Ventures, Selini Capital, Mysten Labs and M31 Capital, are a starting target list for an AI round, and each has its own NAUT page with its team.
How a founder can use this list before a raise
  1. Place yourselfFind your category among the 6 and read how many rows share it, from 7 to 74.
  2. Read the comparablesThe 6 checked raises here run from $3M to $15M, with 3 of them at about $10M.
  3. List the backersEvery firm named in those rounds has its own NAUT page.
  4. Find the partnerOpen the fund's NAUT page for its team, then request the warm intro.

How to reach the decision makers at these AI crypto companies

Each of the 24 project links above opens that company's NAUT page, which carries the team NAUT holds for it, every person's role, and which channels NAUT has on file. The 6 companies with a source-checked raise are the quickest to qualify, since the round size, and for 5 of them at least 1 named investor, are already on this page. NAUT's data shows which channels exist on a person before you spend anything, and the verified Telegram, email and LinkedIn values unlock on any paid plan.

Related reading on NAUT: DeFAI projects: 13 of 63 on NAUT, 7 with a live token and AI crypto investors: 44 backers, 18 rounds, $317.6M since July.

Can you pull this data through the NAUT API?

Yes. The call behind this page is GET https://api.naut.so/v1/projects?sector=AI&limit=100 with an Authorization: Bearer $NAUT_KEY header, which pages through the AI-tagged project rows, and adding &token=launched returns the token-live cut. A single company and its team comes back from GET https://api.naut.so/v1/projects/kaitoai. Each data call costs 5 credits, so the Essential plan at $49 a month and its 3,000 credits covers 600 calls, with plans at naut.so/pricing and the parameters at naut.so/docs/api. Verified Telegram, email and LinkedIn for the people at these companies unlock on any paid NAUT plan, so start a 7-day trial to reveal them.

AI crypto companies FAQ

What are the top AI crypto projects?

By the trust score NAUT showed on 4 November 2026, the highest-scoring AI crypto projects among the 24 profiled here are Mind Network at 7.28, ChainGPT at 7.25, Kaito at 7.07, aiPump at 6.89 and Hive Intelligence at 6.71. They come from 4 different categories: AI infrastructure, AI-powered DeFi, AI data and AI agents.

How many AI crypto companies does NAUT track?

As of 4 November 2026, 314 of the 581 published project rows that carry NAUT's AI sector tag name an actual AI product, agent, model or AI infrastructure in their own description. The largest categories are AI agents and automation with 74 rows and AI infrastructure and compute with 71.

Which AI crypto companies have a live token?

192 of the 314 have a live token on NAUT's record as of 4 November 2026. Among the 24 profiled here, 22 do, and the 2 that do not are Aiden Labs and G-Agents AI.

Where can I find the decision makers at these AI crypto companies?

On NAUT. Each of the 314 AI crypto companies has a NAUT project page listing the team NAUT holds, and the same data comes back from GET https://api.naut.so/v1/projects/<slug> at 5 credits a call. Verified Telegram, email and LinkedIn for those people unlock on any paid NAUT plan, so start a 7-day trial to reveal them.

Sources

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