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Models that work, not models that wow.

Fine-tuning, hosting, retrieval, agents. Built for the person paying the GPU bill, not the person posting the screenshot.

Scope

The five things people ask us for.

Fine-tuning
Take an open model, feed it your data, get something that speaks your domain. LoRA for cheap iteration, full-weights when the task earns it.
Hosting
Your model on your hardware, or ours. vLLM, TGI, Triton. Autoscale, quotas, per-tenant keys, an actual admin panel.
Retrieval
RAG that stays fresh. Chunking, hybrid search, reranking, evals. No black-box vector store you can't debug at 2am.
Agents
Tool use, planning, guardrails. Systems that pick up a task, do it, and log what happened so a human can audit it.
Evals
The part everyone skips. Test sets that mean something to your business, run on every deploy.
Where we host

Your GPUs, our GPUs, or a rented cluster.

On-prem

Regulated data, air-gapped rooms, machines you already own.

Private cloud

Your AWS or GCP account. We deploy, you keep the keys.

Revor-hosted

Managed on our GPU pool. Per-token or per-minute pricing.

Next step

Tell us what you want the model to do.

If we can build it in a month, we'll say so. If it's a research problem, we'll say that too.

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