RevorForge — bring the model home.
A workbench for fine-tuning, evaluating, and serving open-weights LLMs on your own GPUs. Your data never leaves the building.
Inside the product
Every step of the model lifecycle.
Datasets
Ingest from S3, Postgres, PDF, or JSONL. Deduplicate, label, and version.
Training
LoRA, QLoRA, full fine-tune. Llama, Qwen, Mistral, Gemma. Multi-GPU with sensible defaults.
Evaluation
Golden sets, blind panels, LLM-as-judge with score calibration. Regression alerts.
Serving
vLLM or TGI behind an OpenAI-compatible API. Streaming, function calling, quotas.
Retrieval
Vector index, hybrid search, per-tenant isolation.
Observability
Prompt, response, latency, cost. Redact before it leaves the box.
Where it runs
Your cloud, your rack, your air-gap.
Your cloud
AWS, GCP, Azure, Oracle. Bring your GPU quota.
Your rack
On-prem H100, A100, or L40s. We'll install it.
Air-gap
Offline install for defence, health, and finance.
"We stopped sending customer transcripts to a third-party API. RevorForge runs the same task on our own cluster for a fraction of the cost."
— Head of engineering, insurance carrier
See a fine-tune on your data.
Send a sample. We'll show you a tuned model and the numbers behind it inside two weeks.
Book a demo →