One shared coordinate system for every embedding model. Model-agnostic semantic search, agent memory, and cross-model alignment — in 82 dimensions.
Not a hyperparameter. A theorem. PCA on aligned embeddings preserves 99.9% variance at exactly 82 dimensions.
Five embedding models, five architectures, one shared space. Retrieve any text from any model with near-perfect accuracy.
OpenAI, Cohere, Google, Anthropic, open-source. Every embedding projected into the same 82D space.
Production index running on GPU. Sub-second search across tens of millions of aligned embeddings.
Leave your email and we'll notify you when the API is ready.
Already have access? Sign in