Most AI projects fail at retrieval, not at the model. We build the unglamorous middle: chunkers that respect document structure, hybrid retrieval that knows when to use BM25, eval harnesses that catch regressions before your users do.
We have quota to burn — we use the best models available without flinching, and we benchmark constantly. Your AI feature should not be bad because we tried to save $40 on tokens.