We're a two-person lab: Thomas van Dongen and Stéphan Tulkens. We build small open-source models and the tools around them, so that embedding, search and data preprocessing run on any CPU, without a GPU or an API.
We think that if you make models fast enough, you unlock new possibilities. A model that answers in milliseconds on a laptop becomes a function you run: inside an agent loop, over every row of a dataset, or on a machine with no network. Most of what people use embeddings for doesn't need a large model. It needs a fast one that is good enough.