Your vector stack costs too much and hallucinates anyway.

I fixed both.

ARBITER compresses 768 dimensions → 72 dimensions. Same compression ratio as PCA. 11% BETTER similarity preservation.

Plus disambiguation that PCA is mathematically blind to.

What that means for your infrastructure: → Storage (100M docs): 286GB → 26.8GB → Vendors: 3 → 1 → Hallucinations: Fixed at the retrieval layer

This isn't a re-ranker you bolt on.

This is the replacement for your entire vector stack.

OpenAI embeddings? Replaced. Pinecone/Weaviate? 90% smaller. Cohere rerank? Built in.

One 26MB primitive. Air-gapped. Deterministic. Runs anywhere.

—

I'm focused on vision, roadmap, and closing our current pipeline in defense and biotech.

Now building out the commercial team to go after enterprise RAG.

Looking for 1-2 people who see this and immediately know who needs it and how to close them.

Enterprise sales background. Technical credibility. Startup energy.

Real equity. Real upside. Ground floor.

If that's you → DM or founder@traut.ai getarbiter.dev — try it live, no signup.