Define the environment
Package a bounded task with the conditions in which it will run.
Vinci Foundry
Turn work we can examine into data we can learn from.
Why we built it
A training example should have a story behind it.
We built Foundry to connect verifiable work with candidate training data for upcoming Vinci models. The useful part is not just the answer: it is the task, the environment, and the checks that let us understand how that answer was produced.
What it brings together
Examine the work
Keep task execution and result verification distinct.
Build toward better data
Retain the context needed to review candidate examples for future model training.
What we share
A selected view of our internal work. Additional capabilities and details remain private until they meet our safety and internal review standards. Public availability is described on each page.
Scope and limitations
Internal evaluation infrastructure. Hundreds or thousands of tasks describes the scale we are building toward, not a published deployment count. A sandbox and a retained record do not by themselves establish correctness, training suitability, or general model capability.
Start with the resources.
Explore our public models, technology pages, and documentation. If you have further questions or want to work with us, our contact details are there too.