Reliable infrastructure at any scale
Managed training workers that don't fall over. Fine-tune small production models with the reliability to experiment fast — no GPU babysitting.
From your data to a working AI
Experiment, train, fine-tune, deploy, and scale on one AI system.
Free starter credits · No card required · Workspace after fine-tune
Fine-tune models for real production use
Improve accuracy, reduce hallucinations, and control behavior — without managing training infrastructure.
Why fine-tune models with Foundry?
Build models that are faster, more accurate, and fully yours.
Purpose-built performance gains
Sensible recipes baked into every job: tuned defaults, longer effective context, and steady improvements as you re-train on real usage.
Universal workspace & API
Open a chat, support, tutor, writer, or translator workspace — or call the same named model over a clean API. No lock-in, no format conversions.
Enterprise-grade from day one
Built for scale, secured for trust, and designed to meet your most demanding fine-tuning needs.
99.9% job reliability
Run critical fine-tunes with confidence, backed by managed workers built for uptime.
Secure by default
Isolated training, private model namespaces, and SOC 2-style controls for your data.
Scale to thousands of jobs
Adapt instantly to demand with infrastructure that grows with your workload.
Autoscale training in seconds
0 to thousands of concurrent jobs, automatically. No config files, no cluster babysitting.
Learn about autoscaling →
Sub-second job starts
Warm worker pools eliminate cold-start waits so your fine-tunes and chats begin instantly.
Learn about workers →
Zero idle cost
Your endpoint costs nothing when it isn't running. Credits meter real work, not idle GPUs.
See pricing →Workspaces that match the job
After fine-tune, open the interface built for the task — not a generic chat box.
A classic conversation box tuned to your data. Reply to questions, draft answers, and keep context across turns — without a blank generic chatbot.
Start a fine-tune
Frequently asked questions
Everything you need before your first fine-tune.
What is Foundry?
Foundry is an AI developer cloud. You fine-tune small base models on your own data, name them, and instantly get a workspace or an API for each model.
Do I need my own GPUs or ML experience?
No. Managed workers run the training for you. You bring examples — FAQs, chats, glossaries, lesson pairs — and Foundry handles the job with sensible defaults.
How do credits work?
You spend credits only when you train and chat: 55 for the first fine-tune, 40 to re-train, and 1 per chat message. The Free plan starts you off with 120 credits.
What data can I fine-tune on?
Any examples that show how your AI should respond — support transcripts, FAQ pairs, lesson Q&A, glossaries, or plain JSONL you upload in the studio.
Can I keep improving a model?
Yes. Re-fine-tune into the same destination: the name stays, the version increments, and your workspace and API keep working without any rewiring.
Is my data private?
Training runs in isolation with private model namespaces. Your data is used only to train your own models — never shared.
Start fine-tuning today
Create an account, spend starter credits, and open your first workspace.