There’s a default assumption in modern AI: to get intelligence out of data, you first collect the data. Scrape it, upload it, pool it, then let the model do its work. For consumer photos this is questionable. For cultural knowledge it’s quietly disastrous.
A museum’s collection is not just files. It’s decades of scholarship, legal obligations, donor agreements, and reproduction rights. A community’s oral histories are not “content”. They’re memory, identity, and sometimes knowledge that was never meant for everyone. Once copies of these leave home, control is gone. Not weakened. Gone.
Turning the arrow around
My3PAI is built on the opposite assumption: the data never moves, and the computation travels instead. When someone asks a question, the work goes to where the data lives. Each collection is searched on its owner’s own systems, under its owner’s own rules, and only the checked, cleaned, permitted results come back.
This sounds like a technicality. It’s actually a transfer of power. When data stays home:
- Consent means something. Withdrawing permission actually stops future use, because there are no stray copies to chase.
- Conditions are enforceable. No commercial use, no AI training, attribution required: these travel with every result, and the system refuses what the rules refuse.
- Value can flow back. When every contribution is visible, contributors can be recognised and paid. Extraction becomes collaboration.
The honest trade-off
Is this harder to build than a giant scraper? Yes, considerably. Federated systems demand careful engineering: agreements, provenance, audit trails, agents that behave. We think that difficulty is exactly the point. The easy architecture put culture in the position it’s in. The harder one gives it a future where participation doesn’t mean surrender.
That’s the bet behind everything else on this platform. If you’d like to test it against your own collection or community, get in touch.