Freemium
Leading digital analytics platform for product insights and customer journey analytics
analyticsproduct analyticscustomer insights
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Pricing
Freemium
Use cases
Data scientists training custom models using domain-specific text, images, and documents for specialized industry applications (verified: 2026-01-29), Teams requiring collaborative annotation workflows to label large datasets with inter-annotator agreement metrics and union merge capabilities (verified: 2026-01-29), Organizations implementing intelligent document processing to extract structured information from OCR-scanned documents and image-based classification tasks (verified: 2026-01-29)
Strengths
The platform supports multiple annotation types including span-based, character-based, OCR annotation, and image classification for diverse data formats (verified: 2026-01-29), Users can accelerate labeling workflows through zero-shot, few-shot, and model-assisted labeling using pre-trained models from Hugging Face (verified: 2026-01-29), The system provides integrated LLM fine-tuning capabilities with access to over 20 open-source models including Deepseek R1 and Llama (verified: 2026-01-29)
Limitations
The entry-level free tier restricts users to a single custom model and limits document processing to 100 documents per month (verified: 2026-01-29), GPU time for model training is strictly capped based on the subscription tier, starting at one hour for the free plan (verified: 2026-01-29)
Last verified
Jan 29, 2026
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Strengths
- The platform supports multiple annotation types including span-based, character-based, OCR annotation, and image classification for diverse data formats (verified: 2026-01-29)
- Users can accelerate labeling workflows through zero-shot, few-shot, and model-assisted labeling using pre-trained models from Hugging Face (verified: 2026-01-29)
- The system provides integrated LLM fine-tuning capabilities with access to over 20 open-source models including Deepseek R1 and Llama (verified: 2026-01-29)
Limitations
- The entry-level free tier restricts users to a single custom model and limits document processing to 100 documents per month (verified: 2026-01-29)
- GPU time for model training is strictly capped based on the subscription tier, starting at one hour for the free plan (verified: 2026-01-29)
FAQ
What types of data annotation projects can users create within the UBIAI platform?
Users can initiate projects for span-based and character-based text annotation, OCR annotation for scanned documents, and image classification. The platform requires users to specify the primary document language during project setup to ensure proper processing of the uploaded data (verified: 2026-01-29).
How does the platform assist users in speeding up the manual data labeling process?
UBIAI provides several automated labeling features including zero-shot and few-shot labeling, as well as model-assisted labeling. It also allows users to import models from Hugging Face to perform auto-labeling, which reduces the manual effort required for large datasets (verified: 2026-01-29).
What specific large language models are available for fine-tuning and inference on the platform?
The platform provides access to over 20 open-source large language models, including Deepseek R1, Qwen 72B, Llama, and Mistral. Users can perform LLM and Neural API inference and download their custom-trained models depending on their specific subscription plan (verified: 2026-01-29).
