Share Your Data Without Actually Sharing Your Data

01 /The Concept

They say data is the new oil. The one key difference: data is uncomfortable to hand off, because it carries too much information that shouldn't be accessible to everyone – or to anyone.

Cleaning that data (in the privacy sense) can end up being more expensive than refining crude oil into something sellable.

Infosum's tagline: "You share your data without sharing your data."

- Data lives in decentralized, protected storage. Even the service itself can't access the raw data.

- Access to the stored data is granted under different permission levels for different participants in the process.

- All data is normalized – brought into a common schema that allows for unified processing rules regardless of source.

- A unified constraint system is applied to the data to prevent any extraction of personal information.

02 /Why It Matters

The theme itself is compelling. Successful startups capitalize on change – they emerge where technology, markets, or human behavior are shifting right now. Efficient big-data processing has arrived and large datasets are accumulating, which is exactly where the opportunity to build something substantial lives.

Decentralized storage is a natural fit here – one of the rare cases where it actually belongs. In the vast majority of projects that use decentralization, it feels forced. Here the architecture serves a genuine purpose: keeping raw data off a central server isn't a technical preference, it's a security requirement.

Most importantly, Infosum is a middleman in a market where demand already exists. There are sellers who want to monetize their data (and already do). There are buyers who want to acquire it (and already do). The play is simply to make that exchange faster and more efficient – cheaper for both sides. Sellers avoid spending time and money scrubbing personal data and ensuring compliance. Buyers avoid wrangling with each vendor's proprietary format. That's logistics, applied to data – and the analogy holds directly, including the importance of security throughout the process.

03 /Opportunities

Look closely at companies that are already collecting data. What data? Where does it come from? How costly is it to process – to build pipelines for?

Who else holds similar data? Why aren't they selling it? Is it simply too much of a hassle to clean up and stay compliant with privacy regulations?

Don't rush to build a full system first and then run around looking for someone to sell it to. Identify and pre-negotiate with potential sellers and buyers first, then build something purpose-made for them – and expand from there.

The usual rule applies: sell first, build second.