[PRESS RELEASE – London, United Kingdom, June 25th, 2025]
RoboCorp, a crypto-powered search and alternate platform, has unveiled the world’s first know-how that allows anybody to earn cryptocurrency utilizing their on a regular basis information and the data they possess. This groundbreaking announcement comes as tech trade leaders challenge that AI brokers and tokenized property may create a worldwide market alternative exceeding $1 trillion.
YouTube hyperlink: https://www.youtube.com/watch?v=WSAHuGjGxj4
The platform launch coincides with widespread criticism over worth distribution practices which have operated within the digital financial system for 20 years. Firms like Google, which generated over $350 billion in income in 2024, and OpenAI, valued at $ 300 billion, construct income from user-generated content material and information whereas offering restricted direct compensation to contributors.
As generally noticed, person search information contributes to algorithm enhancements valued within the billions, content material creators share tutorials and experience on platforms producing substantial advert income, and artists from studios like Ghibli have reportedly been included into AI coaching datasets price billions. These contributors sometimes obtain restricted direct monetary compensation for his or her contributions.
RoboCorp.co goals to essentially disrupt this mannequin by creating what the corporate describes because the knowledge financial system. The platform allows anybody to transform their information, experience, and inventive contributions into income-generating digital property utilizing the corporate’s proprietary infrastructure – the Worth Stack.
The system operates by way of Promptyf.ai, a revolutionary platform that options Knowledge Search know-how. It connects information and data seekers straight with expert-created options whereas guaranteeing creators obtain rapid compensation for his or her contributions. Contributors robotically earn $DAAC every time their contributions are accessed and utilized by others.
$DAAC is RoboCorp’s purpose-built cryptocurrency designed particularly for data transactions. In contrast to speculative tokens, $DAAC derives worth from precise platform utilization, enabling micro-transactions that conventional cost programs can not deal with effectively.
“We’re constructing a brand new financial system: the knowledge financial system,” says Jonathan Miller, founder and CEO of RoboCorp.co “Our know-how makes it potential to remodel each particular person on earth right into a data contributor immediately, capturing and using their experience in ways in which have been beforehand unattainable.”
Utilizing RoboCorp’s Worth Stack system, anybody can remodel their experience into income-generating property by way of six asset varieties:
● Knowledge – On a regular basis data like purchasing patterns and searching habits
● Area-Pushed Brokers – Automated, immediately deployable instruments
● Widgets – Interactive problem-solving interfaces
● Utilities – Full enterprise options combining a number of AI Brokers and Enterprise Logic
● Media – Artistic works that generate ongoing royalties
● Fashions – Customized-trained AI fashions
In follow, an on a regular basis web person may use Promptyf.ai Studio to bundle their purchasing patterns and social media exercise as a Knowledge asset that market analysis firms license for client conduct evaluation. Every time companies entry these insights to enhance their merchandise or promoting methods, the person earns $DAAC tokens, probably producing passive earnings from a whole lot of firms worldwide.
Equally, a monetary advisor may create a Area-Pushed Agent that automates funding portfolio suggestions based mostly on their a long time of market experience. When funding corporations combine this agent into their platforms, the advisor receives $DACC funds every time the system processes shopper portfolios.
“We now have the know-how to make each particular person on earth a data contributor in minutes,” Miller explains. “This isn’t about hypothesis or hype – it’s about creating actual utility that drives real innovation exercise whereas guaranteeing honest recognition for data creators.”
The platform additionally addresses a essential problem that’s plaguing the search trade: belief and verification. Present serps typically return unverified sources, whereas neo-LLMs are recognized to provide hallucinations and unreliable data that can not be trusted for essential selections.
RoboCorp.co addresses this by way of complete verification protocols the place each contributor undergoes identification validation, and all digital property embrace full supply traceability. This strategy considerably reduces AI unreliability by delivering expert-built options moderately than algorithmic approximations, with each interplay traced again to verified human experience by way of blockchain verification.
The corporate has additionally developed Promptyf.ai Enterprise with governance controls, compliance frameworks, and conventional fiat cost integration that works inside company accounting programs whereas robotically changing to $DAAC on the backend. Enterprise shoppers can entry {the marketplace} by way of acquainted procurement processes utilizing commonplace company funds, whereas contributors nonetheless obtain crypto compensation.
“The complexity hole between private and enterprise data administration requires essentially totally different options,” Miller notes. “Our enterprise platform offers the governance framework and system integration capabilities that organizations want whereas sustaining the innovation potential of particular person creators.”
About RoboCorp.co
RoboCorp is a know-how firm centered on decentralizing the worldwide information ecosystem and creating honest worth alternate mechanisms for data property. Based by seasoned entrepreneurs with experience in information, AI, and search applied sciences, the corporate has developed the world’s first market for information and data utilization. RoboCorp’s mission facilities on remodeling people into data contributors by way of their experience and information property whereas offering enterprise-grade options for organizational data administration.
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