Generic ChatGPT and Claude are trained on everything—we train models on your specific data to master your domain. 30-50% accuracy improvements. 40-60% cost reduction. Competitive moats no-code cannot replicate.
ChatGPT and Claude are trained on everything, which means they're experts at nothing specific.
Custom models trained on your data outperform generic AI
Annual value for 50-attorney firm
2,500 hours saved × $300/hr
Additional billing revenue
30-provider RCM company
Additional placement fees
200-placement recruitment agency
Fine-tuning is a strategic investment. Here's when it makes financial sense.
8-12 weeks from kickoff to production deployment
Train models on 10,000+ firm documents to master jurisdiction requirements, citation formats, and firm style.
Train on 50,000+ coded procedures with payer-specific rules to achieve 95-99% accuracy.
Train on 5,000+ placements to understand client preferences and predict placement success.
Transparent pricing based on scope and complexity
One specific task optimized
2-3 related tasks optimized
Complete domain specialization
Keep your fine-tuned models performing at peak accuracy with ongoing monitoring, retraining, and capability expansion.
per month
Fine-tuning requires deep ML expertise, domain knowledge, and production engineering skills that most AI consultants lack.
Cannot fine-tune at all. Limited to generic pre-trained models with zero competitive differentiation.
Lack ML expertise for fine-tuning. Can only do prompt engineering on pre-trained models.
Same outcomes at 40-50% lower cost. 8-12 weeks vs 6-12 months. Senior engineer delivery.
Custom fine-tuned models create proprietary AI advantages that no-code platforms can never replicate.