Connect
One line points your AI traffic through Rudimint. Nothing else in your stack changes, and your team keeps working the way it does today.
Your own AI model.Superior, cheaper, faster.
A custom model built for your work: frontier accuracy on your tasks, faster answers, a fraction of the cost.
Plugs into your current AI stack
Your work deserves a model built just for it.
Rudimint builds a model around exactly what your company does: more accurate, faster and cheaper, and always improving.
The best model, without the bet.
Proven on your work before it takes any traffic, with your current model there the whole way.
Fine-tune
We map what your company actually asks AI to do and what a good answer looks like. Then we build a private model around exactly that work.
Prove
We score your model against your current setup on your own tasks. When it wins, traffic moves over a share at a time, with your current model as the fallback.
Improve
Once it's live, your model keeps improving on the work it actually does. Each new version is scored on your tasks before it takes traffic, so it gets better without waiting for the next release.
Our latest research
View allResearch · Oct 26, 2026
Training Nemotron to Beat GPT‑6 Luna on Document Extraction
ReadResearch · Sep 20, 2026
Fine-Tuning a Customer Service Model to Frontier Quality at 65× Lower Cost
Engineering · Coming soon
Building a Fast, Durable, and Portable AI Gateway
Your data. Your choice.
Examples → Your model
Fine-tuning
We create the datasets, fine-tune, and evaluate your model. If you prefer to fine-tune in-house, we can hand off the synthetic data and task sets to your team.
Your model → Your infrastructure or Rudimint cloud
Hosting
We can host and operate your model through a managed endpoint. If you prefer your own infrastructure, take the weights and run on-prem or in your cloud.
Yours alone
Your data only goes into your model, which runs in its own environment.
US data residency
Stored and served in the US.
Encrypted
In transit and at rest.
Keys stripped
API keys and tokens are removed before anything is stored.
Deleted on request
Ask, and we delete your data.
BAAs signed
We sign a BAA when your data includes health information.
Questions
Will it be accurate enough for our work?
That's the first thing we measure. We build an evaluation from your own tasks and what a good answer looks like, and your model only takes traffic once it holds up against your current one.
Is there any risk to production?
No big switch. Your current model keeps serving while we build and test yours. Then traffic moves over a share at a time, and you can pause or roll back at any point.
How much faster is it?
A model built for your tasks is much smaller than a frontier model, so it answers faster: up to 2× in our work so far, depending on your tasks and where it runs.
Do we have to manage GPUs or servers?
No. We host and run your model behind the same API your app already calls. If you'd rather run it yourself, you can take the weights.
What if something goes wrong on your side?
Your current provider stays set up the whole time, so moving traffic back is a one-line change, not a migration.
Can't we just fine-tune a model ourselves?
Many teams try. Running a fine-tune is the easy part. The work is turning your traffic into good training data, building evaluations that catch real failures, and keeping the model current as your product changes. That's what we do.
Where does my data go?
Into your model and nowhere else. It's isolated to your account and never used to improve anyone else's model, including ours.
Own your AI.
Better models. Better economics.