The problem is not privacy. The problem is fragmentation.
Most conversations about personal data start with privacy. Ours starts with a simpler observation: your data is everywhere, and you cannot see it.
Think about the last year of your digital life. You bought things on Amazon, Zalando, and local stores. You subscribed to Spotify, Netflix, maybe a news site. You booked flights, hotels, restaurants. You messaged people on WhatsApp, emailed on Gmail, stored files in Google Drive and iCloud. You searched for things. You watched things. You listened to things.
Each of those services holds a piece of your digital life. None of them shows you the full picture. And none of them is designed to.
Enter the personal data integration layer
A personal data integration layer is a private space where you bring together data from all the services you use, add anything relevant manually, and organize it into a single, portable profile that you control.
It is not a replacement for any service. It is not a social network, a cloud drive, or a password manager. It is the missing layer between you and every platform you interact with.
Think of it as the personal equivalent of what businesses have had for decades. Companies use data integration platforms to connect their scattered systems and get a unified view. They do it because fragmented data is expensive and useless. The same is true for individuals, but until recently, nobody built the tools.
What it does in practice
A personal data integration layer typically lets you:
- Collect data from services you already use, through imports, email scanning, receipt photos, or manual entry
- Organize that data into meaningful dimensions: your purchases, subscriptions, interests, health records, financial history, preferences
- Control who sees what, by generating share views that expose only the data you choose, for the audience you choose, for the duration you choose
- Export your organized data into portable formats you can use anywhere, including with AI assistants that work better with personal context
Why this matters now
Two things changed that make personal data integration layers urgent rather than theoretical.
First, AI assistants are becoming genuinely useful, but only when they have context. A generic AI assistant gives generic answers. An AI assistant that knows your actual purchase history, health profile, financial situation, and preferences gives dramatically better answers. The question is: who provides that context? Today, the platforms do, and they decide what to share. A personal data integration layer lets you decide instead.
Second, regulation is catching up. GDPR in Europe, and similar laws elsewhere, give you the legal right to export your data from any service. Most people never exercise that right because the exported data is raw, messy, and useless on its own. A personal data integration layer turns that exported data into something organized and valuable.
The trust requirement
Here is the hard part. A tool that brings together your most personal data must be trustworthy in a way that goes beyond a privacy policy. If the tool itself can read your data, you have just moved the problem from many platforms to one. That is worse, not better.
This is why encryption architecture matters. A credible personal data integration layer encrypts your data on your device before it reaches any server. The service provider cannot read your data. The encryption code should be open source so anyone can verify the claim. And the business model should be funded by subscriptions, not data monetization.
If any of those pieces are missing, you are not using a personal data integration layer. You are using another platform that wants your data.
How Personal Hub approaches this
Personal Hub is a personal data integration layer. It gives you one encrypted space to collect data from services you use, organize it into a personal profile, and share what you choose on your terms.
All data is encrypted on your device using open source encryption. We cannot read it. The product is funded entirely by user subscriptions at $4.99 per month, with a free tier of 100 items. There are no investors, no ads, and no data sales.
You can start using Personal Hub without creating an account. Your data stays in your browser until you choose to sign up, at which point it gets encrypted and synced.
If you want to see what a personal data integration layer feels like in practice, try it for free.