UBIAI
LLM fine-tuning and data-labeling platform for building domain-specific classifiers, retrievers, and generators without deep ML expertise.
What it does
UBIAI is a platform for fine-tuning domain-specific LLM components such as classifiers, retrievers, and generators. It provides tools for generating and labeling training data, synthetic data generation, quality filtering, one-click prompt or weight fine-tuning, and deployment via API or model export.
Core features
Domain-specific data labeling for PDFs, DOCX, Q&A, and reasoning paths
Synthetic data generation from existing examples
LLM-as-judge automatic quality filtering
One-click prompt or weight fine-tuning
Model export as GGUF, safetensors, or Hugging Face formats
Production observability with drift-based auto-retraining
Pre-built templates for customer support, sales, and documentation agents
Best for
→ML teams fine-tuning LLMs for domain-specific classification or retrieval
→Companies building custom customer-support or sales AI agents
→Teams needing labeled training data and synthetic data generation