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UBIAI
✓ verifiedPaid
LLM fine-tuning and data-labeling platform for building domain-specific classifiers, retrievers, and generators without deep ML expertise.
1.3K saves
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Super Annotate
✓ verifiedPaid
Enterprise data-annotation and evaluation platform pairing a labeling tool with a managed expert annotator workforce.
406K visits/mo
Pricing
No public pricing
No public pricing
Core features
- ✦Domain-specific data labeling for PDFs, DOCX, Q&A, and reasoning paths
- ✦Synthetic data generation from existing examples
- ✦LLM-as-judge automatic quality filtering
- ✦One-click prompt or weight fine-tuning
- ✦Model export as GGUF, safetensors, or Hugging Face formats
- ✦Production observability with drift-based auto-retraining
- ✦Pre-built templates for customer support, sales, and documentation agents
- ✦Customizable multimodal annotation editors for image, video, text and audio
- ✦Support for RLHF preference data, SFT datasets, RAG and agent evaluation workflows
- ✦Managed expert annotator workforce option
- ✦Data curation, exploration and analytics tools
- ✦Team and project management with SSO on higher tiers
- ✦Integrations with AWS, GCP, Databricks, Snowflake and others
Use cases
- →ML teams fine-tuning LLMs for domain-specific classification or retrieval
- →Companies building custom customer-support or sales AI agents
- →Teams needing labeled training data and synthetic data generation
- →Building large-scale labeled datasets to train computer vision or NLP models
- →Running human evaluation and RLHF pipelines for LLM fine-tuning
- →Auditing and scoring AI agent decisions with human review
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