augmntd labs.

Independent projects and research from augmntd. Each one an experiment in how AI can work for people.

Right now, the research here focuses on two things: measuring models in the environment they'll actually live in, and making inference fast enough to use all day.

Companion Bench

A benchmark we're developing inside Cube. It runs models natively in the environment people actually use them, with real files, real context, and everyday tasks. Less about puzzle scores, more about whether a model is actually useful.

Inference stack

Getting more out of open models wherever they run: locally, Swiss-hosted, or in dedicated deployments. We're working the pipeline end to end so the right model can keep up with real work.

Experiments.

Small, fully-featured apps we build quickly to try a new model, a new interaction, or a new idea in a real product.

More to come.

We're always experimenting. Follow our journey as we explore new ideas.