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Fine-tune a model that knows your domain.
Send us your data — documents, transcripts, logs, support tickets, or proprietary knowledge bases. We fine-tune a small language model (500M–5B parameters) to your specific task. You get a model that performs like a frontier model on your domain, at a fraction of the latency and cost.
We handle everything from data curation to deployment.
Data preparation & curation
We clean, deduplicate, and format your data into high-quality training examples. No noise, no leakage — just signal.
Custom training pipeline
LoRA, QLoRA, or full fine-tuning on our GPU cluster. You choose the base model and hyperparameters — or let us recommend them.
Evaluation & iteration
We build bespoke eval sets from your data. You get clear metrics, side-by-side comparisons, and iterative improvement cycles.
Deployment anywhere
On-prem, air-gapped, edge, or cloud — we ship the model as a container, ONNX export, or quantized checkpoint. No vendor lock-in.
RLHF & preference tuning
Go beyond supervised fine-tuning. We help you collect human preference data and run reinforcement learning to align outputs with your quality bar.
Ongoing model updates
Your data grows — your model should too. We set up pipelines for continuous fine-tuning as new data arrives.