UBIAI provides a no-code platform for training custom natural language processing (NLP) models, utilizing AI-assisted labeling and advanced optical character recognition (OCR) to streamline data annotation across various document types. This solution addresses the inefficiencies in manual data labeling, enabling companies to create high-quality training datasets in a fraction of the time.
Funding
Funding not disclosed
Founders
Product
Problem
Manually labeling data for Natural Language Processing (NLP) model training is inefficient and time-consuming, hindering the development of high-quality training datasets across various document types. Traditional methods lack the speed and accuracy needed to keep pace with the growing demand for custom NLP solutions.
Solution
UBIAI offers a no-code platform that streamlines the creation of custom NLP models by automating and accelerating data annotation. The platform leverages AI-assisted labeling and Optical Character Recognition (OCR) technology to enhance the speed and accuracy of data extraction from diverse document formats, including PDFs, images, and text. Users can annotate entities, relationships, and perform document classification with an intuitive interface. UBIAI also provides LLM fine-tuning capabilities, allowing users to customize models for specific tasks such as Named Entity Recognition (NER), relation extraction, summarization, and text generation. The platform supports team collaboration, enabling coordinated labeling efforts and efficient workflows.
Target Audience
UBIAI targets AI-powered startups, enterprises, AI innovators, and machine learning teams seeking to streamline their NLP model development and deployment processes. Specific industries served include finance, healthcare, legal, and technology.
Features
- AI-assisted labeling to automate and accelerate the annotation process
- OCR technology for accurate text extraction from PDFs and images
- No-code interface for training custom NLP models
- LLM fine-tuning capabilities for NER, relation extraction, summarization, and text generation
- Support for multiple languages, including Hebrew, Japanese, Arabic, and Hindi
- Team collaboration features for coordinated labeling efforts
- Integration with over 20 top-tier LLMs
- Secure, SOC2 Type 2 certified and GDPR compliant platform
- API endpoint for seamless integration of custom language models into applications
- Option to import pre-annotated data in JSON or IOB format