Aurelia
AURELIA

Service 04 / 08

Model Fine-tuning & Evaluation.

For enterprises whose domain has its own vocabulary, formats, and judgment calls that prompting can't reliably capture.

Model Fine-tuning & Evaluation

The practice

What this engagement looks like.

Prompt engineering hits a ceiling. When the task involves underwriting notes, clinical impressions, or merchandising judgment, a fine-tuned model outperforms the cleverest prompt — smaller, faster, cheaper, and yours.

We run the full lifecycle: mining your archives for training pairs, labeling ops with domain-expert review, technique selection by benchmark, rigorous eval harnesses, and shadow deployment before traffic.

What you get

Deliverables, not decks.

01

Curated & labeled training corpus

02

Tuned model weights — owned by you

03

Task-specific eval harness

04

Deployment gateway with cost controls

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