Problems
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In our current world, your data is tracked, used, and monetized without your knowledge by centralized platforms. We have collectively given up control of our data to tech giants without realising the value of our digital lives. Verida wants to change all of this by bringing the data closer to you with clear management done on your mobile device.
Private personal user and business data is fragmented across third-parties systems and hard to access. But AI needs access to this data for personal AI. Verida's Private Data Bridge was built to address this problem, enabling the extraction of data from centralized platforms.
Using sensitive data with third party AI tools, risks leaking of IP, and sensitive personal information. Verifiable, confidential compute infrastructure that ensures AI computation occurs privately only on your data.
Web2 offers an abundance of storage options for different use cases. Similarly web3's unique needs will demand specific solutions. Existing web3 decentralized storage models such as Filecoin, Sia, and Arweave are robust for public data, but fall short for private personal data.
They are designed for storing static content like images and documents, rather than being highly performant databases with real time syncing capabilities. Verida fills this gap by addressing speed, authentication, encryption, and regulatory issues for handling private data storage.
One in two people have had their personal data exposed in data hacks. The current approach of storing personal data in multiple, centralized platforms, creates honey pots for hackers and creates huge risks for individuals, corporations and governments. Verida enables individuals to have agency and control over their data, with consensual data sharing eliminates these problems overnight.
Global regulation is forcing companies to open up access to user data. Verida is helping users “claim” their personal data and open it up to the next generation of web3 applications for personalized products, services and AI powered digital assistants. This will create a whole new personalization technology category where trust, security and privacy will be essential for widespread adoption and growth.