What is UBIAI?

UBIAI Fine‑tunes large language models for specific domains by training classifiers, retrievers, and reasoning components. Offers automated data labeling for PDFs, DOCX, and structured text, plus synthetic data generation for diverse examples. Incorporates quality filtering using LLM‑as‑judge scores to remove low‑quality samples.

Provides fast prompt‑level fine‑tuning in 15 minutes and weight training in 2–4 hours for higher accuracy. Supports model export to GGUF, safetensors, or Hugging Face formats and deployment via API or custom infrastructure. Tracks accuracy, latency, and automates retraining when performance drifts.

UBIAI pricing Freemium

Start $0/mo

Growth $299/mo

Business $2000/mo

Verify on the official pricing page.

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UBIAI's key features

Fine-tune classifier retriever reasoning components
One-click component training in minutes
Automatic model selection based on budget
Deploy via API or export formats
Export models as GGUF safetensors
Live inference 1.2ms latency
Automatic quality filtering with LLM judge

UBIAI use cases

Automate the creation of a custom customer support chatbot that can ingest and respond to PDF and DOCX policy documents, using UBIAI’s automated labeling for quick data prep, synthetic data for edge cases, and 15‑minute prompt‑level tuning for instant domain adaptation.
Build a domain‑specific medical diagnostic assistant by fine‑tuning a base LLM on hospital reports, leveraging UBIAI’s retrievers and reasoning modules, filtering out low‑quality data, and exporting the model to GGUF for edge deployment.
Develop a compliance monitoring system that scans internal documents, auto‑labels violations with UBIAI, generates synthetic alerts, and pushes the fine‑tuned model to Hugging Face for seamless integration with SaaS platforms.