Custom Model Fine-Tuning

Your data, your domain, your model. We adapt foundation models to speak your language.

What We Do

We take open-source or proprietary foundation models and fine-tune them on your domain-specific data — making them experts in your business context instead of generalists.

Techniques We Deploy

LoRA / PEFT

Parameter-efficient fine-tuning that adapts large models without retraining from scratch.

Domain Adaptation

Train models on your industry vocabulary, documents, and workflows.

RLHF

Align model outputs with your quality standards using human feedback.

Reinforcement Learning

Optimize model behavior for specific business objectives and measurable outcomes.

Encoder Fine-Tuning

Custom embedding models for semantic search and retrieval tailored to your data.

Quantization & Optimization

Compress models for efficient deployment on your hardware without sacrificing quality.

Use Cases

Customer Churn Prediction Fraud Detection Domain-Specific Chatbots Document Understanding Code Generation Regulatory Compliance

Tech Stack

PyTorch
Hugging Face Transformers
vLLM
LoRA / PEFT
Weights & Biases

Proof Point

Our Boricua Language Engine (BLE) is a fine-tuned encoder that outperforms models 10-100x its size on Puerto Rican Spanish tasks — proving that domain-specific fine-tuning beats raw scale.

Ready to get started?

Let's fine-tune a model that truly understands your business domain.

Contact Us