Look closely at an old painting and you find it was built slowly: a drawing, an underpainting, glaze upon glaze. A good model is made the same way. Random Walk is an AI lab for growing companies: we choose the right model, build the data, train it when it pays and keep it running in your own cloud, server room or Macs.
Move across the painting to read what each layer is made of.
The next word
Under our standard distributor agreement, liability is capped at the
i. Data
Infrared passes through paint and finds the lines drawn first. Beneath a model, those lines are its data. Ours are drawn from the software companies open every morning, and the same workshop turns your documents, tickets and screen recordings into training data within days.
You receive a dataset card listing every source, every exclusion and the audited error rate.
ii. Base model
X-rays often find a second painting under the first. Models are made the same way, over an open base model someone else trained. We choose that foundation for your task, your languages and your hardware, and paint over it only where your field demands.
You receive the base model's license, the training runs and their logs.
iii. Training and evaluation
We train on the work your people actually do, and agree a test with you before anything ships. Every release is held up to it beside the base model and a plain rules-based tool.
You receive the model weights and an evaluation report you can re-run.
iv. Deployment and upkeep
We deploy where your data already lives: on vLLM in your cloud or server room, or on your Macs with Melix. Then we watch the model, retrain it on new material and sign every release.
You receive a versioned model, a runbook and a change log.
Tell us what the work is, what data you keep and where it has to run. We reply within two business days.
