A training plan
Choose a starting model or pre-training approach, organize the data, and define the compute and evaluation needed for your use case.
Have your own data and a job you want a model to do? We work with you on post-training and pre-training, from a small 4B model to an ambitious mixture-of-experts program.

Our released Vinci models show our post-training work in practice. Bring us your domain, your data, and the tasks that matter. We’ll work through the training approach, evaluation, and where the model needs to run.
Choose a starting model or pre-training approach, organize the data, and define the compute and evaluation needed for your use case.
Train and test against representative tasks, with results, limitations, and a comparison to the agreed baseline.
Agree the model artifacts, documentation, licensing, and runtime requirements your team needs to use and maintain the result.
We build with Vinci where it fits, and choose other open-weight models and tools when they better serve your needs.
A compact 4B model and a trillion-parameter mixture-of-experts model need very different programs. We’ll work with you to choose a scale that makes sense for the task, data, and resources you have.
Start with your use case. We can discuss adapting an existing open-weight model or scoping a pre-training program, then agree how you’ll judge the result.
How to check AI-generated workA short introduction is enough to start. Tell us what your team needs, and we’ll work through the right approach together.