Unbounded Labs is an artificial intelligence research team. We build state-of-the-art models for narrow domains — the problems that are too specific, too strange, or too small to hold a frontier lab’s attention, and where a focused model can beat a general one outright.
Our first is Bartholomew, a language model trained exclusively on text written before 1930. No modern hindsight, no anachronisms — a mind assembled entirely out of what was knowable at the time. Building it meant constructing a vintage corpus from scratch, designing period-appropriate evaluations, and adapting post-training techniques to a world that had none of them.
We believe that with careful dataset curation, domain expertise, and highly efficient training, we can achieve state-of-the-art results in crucial domains. This is only the beginning for Unbounded Labs; we see no bounds ahead.