From your data to a model in production.
Without leaving your infrastructure. Data collection or generation, fine-tuning, and deployment with vLLM. Ready-made interface with LibreChat or a direct API connection to your platform.
100% self-hosted
Runs on your infrastructure, not ours
No external API calls
No data goes to OpenAI, Anthropic, or any third party
The model is yours
Weights, data, and deployment under your control
A service, not just a model.
Full control of your data
We collect or generate synthetic data if you don't have it ready. Fine-tuning runs on your information, it never leaves your infrastructure.
Deployed in days
vLLM ready for production. Immediate interface with LibreChat or an OpenAI-compatible endpoint for your existing platform.
No lock-in
The trained model and its weights are yours. You can switch infrastructure providers whenever you want, without depending on us.
Tell us about your use case.
Before you reach out.
What exactly does Kronos include?
Data collection or generation, model fine-tuning, and production deployment with vLLM. It's not just training, it's the full cycle.
Are the model and data our property?
No. The trained model's weights and your data belong to you from the start.
Can we connect our internal platform instead of using LibreChat?
Yes, if your platform supports a custom OpenAI-compatible endpoint (base_url). If it doesn't, that's a limitation of your stack, not ours, and we work through it together.
What if we don't have training data?
We generate it with synthetic data as part of the service, as we did for the Harvey legal model.
How long from signing to production?
Days, not months, once scope is defined and hardware is available. We confirm this for your case on the first call.
Where does training run?
Fine-tuning runs on dedicated cloud/neocloud infrastructure set up for the training process. Once trained, the model is deployed in your own infrastructure, which is where the 100% self-hosted applies.