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Pundi AI Unveils Data Pump To Enable Fair Monetization And Practical Application Of AI Datasets

July 8, 2025
in Metaverse
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by
Alisa Davidson


Revealed: July 08, 2025 at 6:48 am Up to date: July 08, 2025 at 6:48 am

by Ana


Edited and fact-checked:
July 08, 2025 at 6:48 am

To enhance your local-language expertise, generally we make use of an auto-translation plugin. Please notice auto-translation might not be correct, so learn unique article for exact info.

In Transient

Pundi AI’s new Knowledge Pump function permits dataset house owners to tokenize and pretty monetize AI datasets as tradable on-chain belongings, supported by built-in AI instruments for transparency and community-driven funding mechanisms.

Pundi AI Unveils Data Pump To Enable Fair Monetization And Practical Application Of AI Datasets

AI knowledge platform, Pundi AI launched a brand new function known as Knowledge Pump, aimed toward facilitating equitable monetization and sensible utility of AI datasets. The function leverages an idea acquainted within the Web3 ecosystem by changing datasets into liquid, tradable on-chain belongings ruled by neighborhood possession rules.

Knowledge Pump permits people or organizations holding dataset copyright NFTs to mint ERC-20 tokens that characterize entry to their knowledge. These tokens can bear a neighborhood funding part and subsequently be traded on decentralized exchanges corresponding to PancakeSwap. Additionally it is doable for a number of customers to generate separate tokens from the identical dataset, reflecting shared possession rights.

The platform incorporates a structured launch framework that allows dataset holders to determine funding targets, distribute tokens, and contain early contributors. This mirrors the mechanics of honest launches seen in platforms like Virtuals, however applies them particularly to datasets utilized in AI improvement. Creators might also impose participation circumstances, corresponding to requiring contributors to keep up a sure stability of Pundi AI Factors earlier than becoming a member of a marketing campaign.

Every dataset comes with an built-in AI Agent designed to permit customers to question, summarize, and consider the dataset’s high quality and relevance. Not like task-executing brokers, this technique focuses on delivering clear insights into knowledge utility.

The platform employs a bonding curve mannequin to find out token pricing dynamically all through crowdfunding and launch. This mannequin is carried out solely on-chain by way of automated algorithms, eradicating the necessity for guide pricing selections and offering steady liquidity alongside real-time worth adjustment.

In an effort to deal with dangers corresponding to Miner Extractable Worth (MEV) exploitation and unauthorized liquidity pool creation, Knowledge Pump makes use of separate good contracts for the crowdfunding and post-launch phases. These safeguards are deployed throughout blockchain networks like BNB Good Chain (BSC) to keep up safety and shield liquidity contributions.

The function is designed for accessibility, enabling dataset house owners to interact with the system with out requiring superior programming expertise or technical infrastructure administration. All the course of is dealt with by Knowledge Pump, permitting contributors to concentrate on enhancing the standard and worth of their knowledge belongings.

Table of Contents

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  • Understanding Knowledge Pump: Key Options And Performance
      • Disclaimer
      • About The Creator

Understanding Knowledge Pump: Key Options And Performance

Throughout the Knowledge Pump framework, contributors and communities are supplied with mechanisms to find out how their datasets are monetized, enabling ongoing income technology past conventional one-time licensing fashions. The system additionally helps transparency and validation by means of an embedded AI Agent, which permits real-time querying and evaluation of dataset high quality.

For builders and AI practitioners, the platform gives entry to datasets which are each verifiable and tied to clear possession credentials. The inclusion of built-in AI Brokers permits customers to guage and extract related insights from the information previous to acquisition, which may contribute to the event of AI fashions with improved accuracy and decreased situations of hallucination.

The method for using Knowledge Pump includes connecting a supported pockets and confirming possession of a dataset non-fungible token (NFT). Customers can then generate an ERC-20 token, configure crowdfunding parameters, and make the asset obtainable for neighborhood engagement. Upon profitable completion of the funding part, the token turns into tradable on decentralized exchanges corresponding to PancakeSwap, the place pricing is managed by means of an on-chain bonding curve. At this stage, the related AI Agent is activated, remodeling the dataset into an interactive, on-chain useful resource with ongoing utility.

Disclaimer

According to the Belief Challenge tips, please notice that the knowledge offered on this web page isn’t meant to be and shouldn’t be interpreted as authorized, tax, funding, monetary, or every other type of recommendation. You will need to solely make investments what you may afford to lose and to hunt impartial monetary recommendation in case you have any doubts. For additional info, we advise referring to the phrases and circumstances in addition to the assistance and assist pages offered by the issuer or advertiser. MetaversePost is dedicated to correct, unbiased reporting, however market circumstances are topic to vary with out discover.

About The Creator


Alisa, a devoted journalist on the MPost, makes a speciality of cryptocurrency, zero-knowledge proofs, investments, and the expansive realm of Web3. With a eager eye for rising traits and applied sciences, she delivers complete protection to tell and interact readers within the ever-evolving panorama of digital finance.

Extra articles


Alisa Davidson










Alisa, a devoted journalist on the MPost, makes a speciality of cryptocurrency, zero-knowledge proofs, investments, and the expansive realm of Web3. With a eager eye for rising traits and applied sciences, she delivers complete protection to tell and interact readers within the ever-evolving panorama of digital finance.








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