UBIAI
UBIAI Text Annotation Tool is an AI tool that aims to make natural language processing (NLP) and machine learning (ML) solutions more acces...
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What is UBIAI?
UBIAI is a no-code AI platform for building domain-specific large language models (LLMs) and training custom natural language processing (NLP) models. The platform provides a complete toolkit from training data creation to production deployment, enabling users to fine-tune AI components like classifiers, retrievers, and reasoning engines without requiring machine learning expertise. UBIAI addresses the limitations of generic foundation models that struggle with domain-specific tasks, schemas, and production edge cases.
Key features include AI-assisted labeling with OCR for PDFs, images, and text documents; synthetic data generation with automatic quality filtering; one-click component training with both prompt fine-tuning (15 minutes) and weight fine-tuning (2-4 hours); deployment via API endpoints compatible with LangChain, LlamaIndex, and AutoGPT; and pre-built templates for customer support agents, sales assistants, documentation helpers, content moderation, task automation, and research assistants. The platform supports 20+ languages including Hebrew, Japanese, Arabic, and Hindi, and works with models like Llama 3, Mistral, OpenAI GPT, Gemma, Qwen, and DeepSeek.
UBIAI is designed for AI-powered startups, enterprises, AI innovators, and machine learning teams in industries including finance, healthcare, legal, and technology. It targets data scientists, business analysts, and teams seeking to streamline NLP model development for tasks like Named Entity Recognition (NER), relation extraction, document classification, summarization, and text generation.
The platform offers team collaboration features with task assignment and progress tracking, SOC2 Type 2 certification and GDPR compliance, API endpoints for seamless integration, and the ability to import pre-annotated data in JSON or IOB format. Users can export models as GGUF, safetensors, or Hugging Face models for use in their own infrastructure.
UBIAI pricing
Pricing model: Freemium
UBIAI offers multiple pricing tiers. The Start plan is free ($0/month) and includes 1 AI model, 100 training examples, text and PDF OCR labeling, and LLM Evaluation. The Growth plan costs $299/month and includes up to 10 AI models, 3,500 training examples, text and PDF OCR labeling, advanced analytics, team collaboration for 5 users, LLM Evaluation, RAG Integration, and priority support. The Business plan costs $2000/month and includes up to 20 AI models, 100,000 training examples, text and PDF OCR labeling, advanced analytics, team collaboration for 10 users, LLM Evaluation, RAG Integration, priority support, plus forward-deployment with a dedicated AI engineer, model training setup, hyper-parameter tuning, and post-deployment improvement. There is also an older Basic plan ($0/month, single user, unlimited annotations, 30 OCR uploads, 50 non-OCR uploads), Team plan ($299/month, up to 5 users, unlimited annotations, 1k OCR uploads, 10k non-OCR uploads, collaboration & analytics), Team Pro ($599/month, up to 10 users, model assisted labeling, shared account, table extraction, 10k document uploads, 40k non-OCR uploads), and Enterprise plan (per quote, unlimited users, unlimited annotations, unlimited documents, table extraction, shared account). On-premise package is available per quote for full ownership.
UBIAI pros
- No-code platform requiring no ML expertise
- AI-assisted labeling reduces human effort by 80%
- Supports OCR for scanned PDFs and images with bounding box coordinates
- Synthetic data generation with automatic quality filtering at 96% quality
- Fast prompt fine-tuning in just 15 minutes
- Weight fine-tuning available in 2-4 hours for maximum accuracy
- Pre-built templates for common use cases like customer support and sales
- Supports 20+ languages including Hebrew, Japanese, Arabic, Hindi
- Compatible with 20+ top-tier LLMs including Llama 3, Mistral, GPT
- SOC2 Type 2 certified and GDPR compliant
- API endpoints work with LangChain, LlamaIndex, AutoGPT
- Model export as GGUF, safetensors, or Hugging Face formats
- Team collaboration with task assignment and progress tracking
- Import pre-annotated data in JSON or IOB format
- Production observability with accuracy tracking and auto-retraining
- Unlimited annotations on paid plans
- 99.9% uptime with 1.2ms inference latency
UBIAI cons
- Free tier limited to only 100 training examples
- Free tier allows only 1 AI model
- Growth plan at $299/month may be expensive for individuals
- Business plan at $2000/month is costly for small teams
- Weight fine-tuning takes 2-4 hours which is slower than prompt fine-tuning
- On-premise package requires per-quote pricing (not transparent)
- Basic free plan has only 30 OCR document uploads
- Some advanced features like table extraction only on Team Pro and above
Frequently asked questions about UBIAI
What is UBIAI?
UBIAI is a no-code AI platform for building domain-specific large language models (LLMs) and training custom natural language processing (NLP) models. It provides a complete toolkit from training data creation to production deployment, enabling users to fine-tune AI components like classifiers, retrievers, and reasoning engines without requiring machine learning expertise. The platform addresses the limitations of generic foundation models that struggle with domain-specific tasks.
What document formats does UBIAI support?
UBIAI supports native PDF, CSV, Docx, HTML, and ZIP format uploads. It also supports OCR for scanned PDFs and images, providing bounding box coordinates for each word. Users can annotate entities, relations, and perform document classification on any type of document including handwritten, scanned, or digital formats.
Do I need machine learning expertise to use UBIAI?
No, UBIAI is designed as a no-code platform that requires no ML expertise. The platform provides one-click component training, automatic model selection, and pre-built templates for common use cases. Users can start with prompt fine-tuning in 15 minutes and upgrade to weight fine-tuning when needed, all through an intuitive web-based interface.
What NLP tasks can I perform with UBIAI?
UBIAI supports Named Entity Recognition (NER), relation extraction, document classification, summarization, text generation, semantic search, intent recognition, parameter extraction, multi-tool orchestration, and multi-class classification with reasoning. The platform can train state-of-the-art deep learning models including Spacy, BERT, and GPT on your annotated dataset.
How does synthetic data generation work in UBIAI?
UBIAI's synthetic data generation automatically creates realistic variations from existing examples. The platform uses LLM-as-judge to score and remove low-quality examples automatically, achieving 96% quality. Users can upload domain examples or generate synthetic data for any component including reasoning paths, question/answer pairs, PDFs, and DOCX files.
Can I deploy models outside of UBIAI?
Yes, UBIAI allows deployment via API endpoints that work with LangChain, LlamaIndex, AutoGPT, or custom frameworks. Users can also export models as GGUF, safetensors, or Hugging Face models for use in their own infrastructure. The platform provides production observability to track accuracy and latency with auto-retraining when performance drifts.
What languages does UBIAI support?
UBIAI supports 20+ languages including Hebrew, Japanese, Arabic, and Hindi. Users can annotate in multiple languages within a single document, and the platform works with handwritten, scanned, or digital formats across all supported languages.
Is my data secure on UBIAI?
Yes, UBIAI is SOC2 Type 2 certified and GDPR compliant. Documents are fully encrypted during upload and no one has access to their content. The platform is hosted on secure SOC2 compliant AWS cloud servers with daily database snapshots to prevent data loss. Your data is your property and UBIAI does not have access to it or cannot use it for any purpose.
What pre-built templates are available?
UBIAI offers pre-built templates for Customer Support Agent (pre-configured classifier, retriever, and response generator), Sales Assistant (lead qualification, product recommendation, objection handling), Documentation Helper (semantic search, code snippet generation, multi-step guidance), Content Moderation (multi-class classification with reasoning), Task Automation Agent (intent recognition, parameter extraction, multi-tool orchestration), and Research Assistant (query decomposition, multi-source retrieval, synthesis). Custom templates are also available.
What models does UBIAI support for fine-tuning?
UBIAI supports Llama 3 (Meta's open-source models), Mistral (efficient European models with multilingual capabilities), OpenAI GPT (industry-leading models), Gemma (Google's lightweight open models), Qwen (Alibaba's multilingual models with coding and reasoning abilities), and DeepSeek (Chinese open-source models with exceptional reasoning and coding). The platform supports many more open-source and proprietary models, with automatic model selection based on your component and budget.