Your own model endpoint in 1 click.
Train it in TypeScript.
Start on a hosted endpoint, collect real traffic, then fine-tune the weights and serve the result from code.
Built for coding agents, not dashboards.
No signup required — your endpoint is created anonymously and expires automatically. By creating an endpoint you agree to the Terms of Service and Privacy Policy.
Free during the alpha. No credit card.
From hosted endpoint
to your own weights.#
Get your endpoint
One click gives you a hosted, OpenAI-compatible Gemma endpoint with its own URL and revocable API keys.
Let the logs accumulate
Point your app at it. Requests and responses are stored as runs you can replay and turn into training data.
Fine-tune in TypeScript
Write the training run as code with the open-source Arkor framework, or let your coding agent write it. Managed GPUs run it. The weights change only when you decide.
Serve your weights
Training produces a LoRA adapter. Load it onto the base model at the same endpoint and route traffic to it.
Trusted by professionals from
Supported by
Who Arkor is for.#
For builders
Make the AI feature you already ship your own.
Your app already has an AI feature behind a frontier API call. Move it onto a model you own: tuned on your real traffic, served at a stable cost, and immune to someone else's model updates.
Replace the API call
Swap the frontier API behind an existing feature for your own endpoint. Same OpenAI-compatible shape, so the app code barely changes.
Support triage
Classify and route tickets with a model tuned on how your team actually labels them.
Extraction on your documents
Pull structured fields from the formats your backend really receives.
Domain-specific assistant
An in-product assistant that answers in your product's vocabulary.
For providers
Serve a model tuned to each customer.
You deliver AI features to clients or end users, and one shared model doesn't fit them all. Give each customer a model tuned to their data and vocabulary, behind an endpoint you can hand over, swap, or revoke.
Per-customer models
Fine-tune per tenant, so each customer's AI feature learns their labels, formats, and terminology.
Client deliverables
Deliver a tuned endpoint per client, each with its own URL and revocable API keys.
Vertical SaaS models
Expose a domain model as part of your product, versioned like the rest of your stack.
Published research models
Put a fine-tuned adapter behind a stable URL others can call.
Hear it from the founder.#
Ask me anything.#
How to use open-weight models in your product, how to start fine-tuning, or how to ship personalized AI features for your users.
I'm happy to help!
See what fine-tuning changes.#
Run a support-triage call against a base open-weight model, a fine-tuned version, and a frontier reference. Same input, same prompt.
Support triage
A customer message arrives. The model reads intent, assigns a category and urgency level, and recommends a next action. No keyword rules, no routing trees.
Waiting for input.
Waiting for input.
Waiting for input.
Your model.
Your endpoint. Your terms.#
A hosted endpoint in under a minute. Free during the alpha.
No signup required — your endpoint is created anonymously and expires automatically. By creating an endpoint you agree to the Terms of Service and Privacy Policy.