Trabel

Language barriers affect almost everything in international business.. but they are about to disappear.

In 2026 there will be zero excuses why every single doc in your org is not instantly accessible by everyone in your org (regardless of language)!

Here's one example from my past. A problem killing many Japan startups quietly: In Japan, only ~15% of people read English proficiently. Globally? About 20%.

Yet 95% of cutting-edge AI research, technical documentation, and developer resources are published in English first. Almost all medical and scientific journals. Almost all communications on Slack, Discord and other channels are completely in English and out of reach for wide sections of the internet.

This all creates an invisible ceiling.

Global startups can't access the knowledge they need if they don't also have English proficient talent.. Found the best dev? Probably not going to have the best english. Getting the best dev who is also fluent!? Super hard.

I know I have run startups in Japan. It's a vicious cycle.

But what if language barriers just... disappeared?

I've been experimenting with Liquid AI 's LFM2-ColBERT-350M — a late interaction retriever that does something super cool:

Upload docs in English → Query in Japanese (or any of 8+ languages) → Get accurate results.

Any knowledge base can instantly be accessible to your global team — at basically no cost!

Your Japanese engineers can now search English technical docs in their native language. Your French team can query your English knowledge base.

The research gap closes. But there's a trust problem. Does every company need to in-house index all potentially valuable docs into their own vector DB? Or can we trust one another and share?

RAG systems are only as good as the data you feed them. How do you prove your knowledge base isn't poisoned by a competitor, outdated info, or manipulated content?

This is where our zkML tech comes in.

Zero-knowledge machine learning lets you cryptographically prove:
✓ Only verified sources entered the database
✓ No poisoned data contaminated your embeddings
✓ The retrieval model ran correctly without tampering
✓ All without revealing the actual data

Imagine: A Japanese researcher queries your system in Japanese, retrieves English documentation, and can cryptographically verify that every piece of information came from legitimate, unaltered sources.

The implications:
For regulated industries (healthcare, finance, legal) → Provable compliance and trustless SoTa research across languages.

For open-source communities → Verifiable knowledge bases anyone can trust.

For global teams → One source of truth, accessible in any language, with mathematical guarantees.

With Trabel, we're not just breaking down language barriers. We're building trustless, multilingual knowledge systems that scale globally.

The fabled Tower of Babel scattered us with confusion...
Modern tech is bringing us back together :)

The underlying zkML tech took years to build and develop but now we are here!!

The PoC is basic for now but we are building fast! Looking for design partners if your company is a match please DM on X or here.