Custom Model Development is a full build, usually 6 to 12 weeks, when a general-purpose model is not accurate enough for the domain. It covers fine-tuning on your data, an evaluation harness, model selection against cost, versioned prompts, and monitoring after launch.
Included
- Fine-tuning on proprietary or domain-specific data
- Evaluation harness design and benchmark tracking
- Model selection and cost-performance tradeoff analysis
- Prompt engineering as a documented, versioned artifact
- Ongoing model performance monitoring post-launch
94.1%
A fine-tuned model closed an 18-point accuracy gap prompting couldn't
from our workClassification accuracy
61%
A custom fraud model cut false-positive declines by 61% without adding risk
from our workFewer false positives
23%
A custom demand forecast cut perishable waste by 23% across 38 stores
from our workLess perishable waste