How We Capture Value
Using web3 to Create the World’s Largest Community-Powered Data Engine
Last updated
Using web3 to Create the World’s Largest Community-Powered Data Engine
Last updated
Free and Intuitive to Use: By tapping into an idle market of billions of smartphones, no upfront investment is needed. This low barrier to entry allows the network to be truly hyper-scalable.
Data Utility for Buyers and Users: Similar to leaving a Google review, contributors can benefit from crowdsourced data in everyday decision-making.
Rewards-Based: Contributors to the global sound map receive $SLC, the network’s token, which allows them to share in the economic benefits of map development and align incentives.
The Silencio Network is a collaboration between the and the , a data company that can rapidly scale globally using the Decentralized physical infrastructure networks (DePINs) leverage existing community-owned infrastructures to create value (for a more detailed explanation of DePINs, refer to the technical implementation section).
Silencio serves as an information highway between supply and demand by crowdsourcing anonymous and secure smartphone-generated data from hundreds of thousands of users. It creates a web3 layer using web3 mechanisms to incentivize the BlockSound Foundation’s data contribution through its native token, $SLC, while selling this data to businesses on a Web 2 level. $SLC is the only medium of exchange with which to access Silencio’s data products. The network’s data can be seamlessly integrated via API across various technology platforms, empowering people to make more informed decisions based on noise-level insights.
“We envision a future where Silencioʼs community crowdsourced data will be seamlessly incorporated into people’s lives across the globe. People will consume our data incorporated across various applications without even realizing it’s coming from Silencio.” - Thomas Messerer, CEO and Co-Founder of Silencio Network
Software DePINs utilize widely available devices such as smartphones, computers, and Raspberry Pi units, offering significant advantages over DePINs that require specific hardware, for example, in scalability and accessibility:
Scalability and Cost-Efficiency: With over 7 billion smartphones globally, Software DePINs can scale rapidly without specialized hardware. This enables the network to scale without any capital expenditure (CapEx) and maintain low operational costs (OpEx) through a lean setup, paving the way for a highly profitable business model.
Hardware Compatibility and Supply Stability: Software DePINs are compatible with various devices and prevent supply chain issues by relying on readily available hardware.
Adaptability and Optimized Engagement: Software DePINs are software-driven and can thus adapt quickly to market needs and offer dynamic reward systems, focusing on areas of higher commercial interest.
Silencio closes the gap in urban noise pollution data by harnessing smartphone-generated data through a clean, gamified mobile app on Google Play and iOS. Combining the intuitiveness of successful Web 2 applications with the security of blockchain technology running seamlessly in the background, Silencio offers an easy-to-use interface with universal appeal. This decentralized, user-focused approach empowers communities worldwide to contribute valuable data effortlessly, providing unprecedented insights into noise pollution. By prioritizing a smooth, intuitive user experience, Silencio democratizes ethical data collection, making it accessible to anyone while challenging traditional data models.
As users become increasingly skeptical about how technology companies collect and monetize their data, their willingness to share data in exchange for benefits has also increased.
We invite anyone with a smartphone to download our free mobile app. Users can contribute passively or actively to different datasets through the Silencio app. In return, they earn in-app Coins, which lead to higher $SLC token rewards. The Silencio Network aims to create a sustainable and ethical data economy where users are fairly compensated for their data contributions while retaining complete control over their personal information. This decentralized approach challenges traditional data models, offering a more balanced, user-centric alternative.
According to a, 85% of US respondents were “extremely/very/somewhat” concerned about companies using their data. However, three-quarters of these respondents were willing to share their data in exchange for rewards.upports this trend: 70% of respondents were willing to trade personal data for financial benefits.