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 local 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 and real context, across a range of everyday tasks. Less about puzzle scores, more about whether a model is actually useful.

Local inference

Getting more out of open-weight models running locally. We're working the pipeline end to end, tuning for the hardware we're building, so a local model can keep up with your thinking on the machine it runs on.

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.