Build the Future of Private AI with Verida

Empower Users with Privacy-Preserving, Decentralized AI Solutions and Secure Data Control

AI models need private data

Public internet data has been scraped and indexed by AI models. They’re coming for private data next - but it’s hard to access

Private AI needs personal data

AI models need private, real time context-level data to deliver on a truly personalised experience.

Users need trust in AI

The  integrity of AI models comes from high quality, ethically sourced and provable data sources.

Existing AI platforms are not private

They have full access to prompts and training data, putting your personal information at risk

Data creators should be rewarded

User-owned data is a critical and valuable resource for AI. It’s your data, you should benefit.

Gain access to the world’s leading AI platforms using your personal data.

Be part of the private data AI revolution.
Join the Waitlist

5 Steps to Private AI

Web2 Data StoragePlatforms
Health records
Financial records
Purchase history
Browser history
Social media activity
Email
Employment history
Verida Private Data Bridge
API Connectors
Verida Vault
Connect Data
Authorize Access
Browse / Search Data
Earn Rewards
AI Products and Services
AI Data Marketplace
AI Compute
Synthetic Data
Private AI
Enterprise AI
Private AI
Personalized news
Preventative health
Auto-search
General Prompts
Personal Shopper
C-suite Exec Assistant
Virtual CMO Agent

Privacy-Preserving Compute

Verida introduces privacy-preserving compute, which allows users to integrate their personal, encrypted data with leading AI models. This ensures end-to-end privacy, safeguarding personal data from model owners, and unlocking new, secure AI experiences. Unlike current AI services, which have full access to user data and pose privacy risks, Verida’s approach maintains privacy throughout the process.

The Personal Data Bridge

Verida’s “Personal Data Bridge” allows users to reclaim their personal data and use it within emerging private AI applications. Users can pull personal data from platforms such as Meta, Google, email, LinkedIn, Strava, and more. This data is encrypted and stored in a user-controlled personal data Vault on the Verida network.

Strategic Partners

Advisors

Dave Costenaro
Advisor
Michael Levinson
Aurora Analytics