AI is increasingly being used across crypto. From data analysis and developer tools to automation inside decentralized applications, Artificial Intelligence is becoming part of how some Web3 products are built and operated. Below is an overview of several crypto projects commonly discussed in the context of AI, including one project that says it is conducting a token sale.
AI-related crypto projects discussed in 2025
1. IPO Genie ($IPO) – AI tools aimed at private-market deal discovery (project description)
Context: Project materials cite a private-market opportunity measured at around $3 trillion annually (this figure is not the token’s market capitalization).
Token sale: Described by the project as currently open
Fundraising: The project reports $10 million raised in a whitelist phase
Focus: AI-driven discovery of private startup investments
IPO Genie says it is building a platform that uses AI to help users identify private-company opportunities and related deal information. Claims about access, eligibility, and performance have not been independently verified.
According to the project, the platform analyzes startup fundamentals, market data, and other signals to surface companies it deems relevant ahead of major public-market events. As with any model-driven approach, outputs depend on data quality and assumptions, and results are uncertain.
The team also states it has managed about $500 million in assets to date; this figure is presented by the project and has not been independently confirmed.
2. NEAR Protocol (NEAR) — Sharding and developer tooling
NEAR is a Layer-1 blockchain that uses Nightshade sharding to process transactions in parallel. The ecosystem also includes tooling and services that some developers describe as AI-assisted, such as code generation and workflow automation, depending on the products used.
NEAR’s broader stack includes the Rainbow Bridge for cross-chain transfers and Aurora, an Ethereum-compatible environment intended to support EVM-based applications.
3. Bittensor (TAO) – Decentralized machine-learning incentives
Market Cap: $3.1 billion
Bittensor is a decentralized network designed to coordinate machine-learning contributions. Participants can contribute data or compute to support model training and, according to protocol rules, may receive token incentives. For background, see: TAO tokens.
The protocol uses a mechanism to evaluate contributions and adjust rewards based on how the network scores the submitted outputs. As with other token-incentivized systems, participation can involve technical, market, and smart-contract risks.
4. Internet Computer (ICP) — Smart-contract applications and on-chain compute
Market Cap: $2.44 billion
Internet Computer, developed by the DFINITY Foundation, is designed to run Web3 applications on-chain, reducing reliance on traditional cloud infrastructure for certain workloads.
Project documentation describes ways developers can integrate algorithms into application logic that runs within the network’s smart-contract environment. Practical capabilities and performance depend on implementation details and the specific application.
5. Render (RNDR) — GPU resource coordination for rendering workloads
Market Cap: $1.84 billion
Render is a network that coordinates GPU resources for rendering-related work. The project describes a range of use cases spanning digital content production, including workloads that can incorporate AI-based image and video processing.
As with similar compute networks, actual cost, throughput, and availability depend on demand, participant supply, and the specific tooling used by creators and developers.
Common themes across these projects
Across these examples, “AI” generally refers to either (1) incentives and infrastructure for machine learning and compute, or (2) developer tooling and application features that incorporate model-driven automation. The technical approaches, maturity, and risk profiles differ widely from project to project.
Closing notes
AI-related narratives in crypto can combine real technical experimentation with marketing claims. Readers should review primary documentation and independent sources, and treat forward-looking statements as speculative.
This article contains information about a cryptocurrency token sale. This outlet is not affiliated with the project mentioned. This article is for informational purposes only and does not constitute financial or investment advice.
