Ubiai

What is Ubiai?

UBIAI is a text annotation tool designed to make natural language processing (NLP) and machine learning (ML) solutions more accessible and affordable. It provides features such as document classification, auto-labeling, multi-lingual annotation, named entity recognition (NER), and OCR annotation. The tool's AI Builder engine facilitates the construction of intelligent document applications by supporting the training of deep learning models on annotated datasets.

UBIAI's OCR annotation feature enables users to extract data from scanned, handwritten, and image-based documents by transforming text into machine-readable, editable data. This capability simplifies the extraction of data from non-digital sources, enhancing data accessibility.

Furthermore, UBIAI supports team collaboration by allowing for efficient task assignment, progress tracking, and performance measurement. The tool streamlines the data annotation and training processes through AI-powered automation functionalities like OCR technology, auto-labeling, and document classification.

In summary, UBIAI offers a comprehensive set of features for NLP and ML projects, supporting various document types and languages while enhancing workflow efficiency and data quality through team collaboration and automated processes.

Who created Ubiai?

Ubiai was founded by Fernando J. The company was launched on January 19, 2022, with a mission to provide easy-to-use NLP tools for developers and companies to apply machine learning ideas efficiently. The tool offers features like document classification, auto-labeling, named entity recognition, and OCR annotation. Ubiai aims to democratize NLP globally, enabling better decision-making through accessible and low-cost tools.

What is Ubiai used for?

• Named entity recognition (NER)
• Named entity recognition
• Team collaboration
• Tasks progress tracking
• Performance measurement
• Annotation in multiple languages and various formats
• Fine-tuning machine learning models
• Document classification
• Auto-labeling
• Multi-lingual annotation
• OCR annotation
• Streamlining data annotation and training processes
• Performance measurement metrics
• Annotation in multiple languages
• Annotating various document formats
• Catering to healthcare industry needs
• Catering to banking industry needs
• Streamlining data annotation processes
• Training deep learning models
• Detecting fraud in banking
• Annotation in various formats
• Data annotation and training processes streamline
• Training machine learning models
• Data annotation and training processes streamlining
• Industry-specific needs fulfillment (e.g., healthcare, banking)
• OCR annotation for scanned, handwritten, and image-based documents
• Document formats support
• Pricing tiers information

Who is Ubiai for?

• Data Analyst
• Data Scientist
• Machine learning engineer
• Data Labeling Lead
• Data Architect
• Healthcare professionals
• Banking professionals
• Finance professionals
• Insurance professionals
• Legal professionals
• Technology professionals
• Data scientists
• Data Analysts
• Machine learning engineers
• Data Labeling Leads
• Data Architects

How to use Ubiai?

To use UBIAI effectively, follow these steps:

1. Sign Up and Choose a Plan: Register for a UBIAI account and select a suitable pricing tier based on your needs, such as Individual, Team, Team Pro, or Enterprise.

2. Document Annotation: Upload your documents in various formats like PDFs, images, and text files. UBIAI supports multi-lingual annotation, allowing you to work with documents in different languages.

3. Utilize Core Features: Take advantage of core features like document classification, OCR annotation, auto-labeling, named entity recognition (NER), and team collaboration tools for efficient workflow.

4. Training Deep Learning Models: Use UBIAI to train advanced deep learning models on annotated datasets. This process can be done with a few clicks, saving time and effort in model training.

5. Industry-Specific Applications: Explore how UBIAI can be tailored to meet industry needs such as fraud detection in banking or streamlining diagnosis in healthcare by utilizing features like semantic analysis.

6. Fine-Tuning Models: Fine-tune your machine learning models by leveraging UBIAI's platform post-annotation, leading to improved model performance and efficiency.

7. Progress Tracking and Performance Measurement: Track task progress, measure performance metrics, and ensure consistent collaboration within your team using UBIAI's features.

8. Explore Additional Features: Delve into additional functionalities like training chatbots, support for NLP models, and training on models like Spacy, BERT, and GPT for enhanced project capabilities.

By following these steps, you can effectively leverage UBIAI for your document annotation, data labeling, and machine learning model training needs across various industries.