SuperAnnotate
The #1 data annotation platform for building better AI — faster
Enterprise·All audiences·API available
Key strengths
#1 ranked data labeling platform on G2Supports multimodal data: image, video, NLP, audioExpert vetted annotator network with managed teamsEnd-to-end pipeline for RLHF, SFT, RAG, and agent evaluationEnterprise-grade security: SOC 2 Type II, ISO 27001, GDPR, HIPAA
Enterprise pricing
San Francisco, USA
Founded 2019
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- RLHF Pipeline Orchestration: Automate large-scale preference data collection using the SDK and connect output directly to training frameworks for reward model training.
- SFT Dataset Construction: Programmatically upload raw text or multimodal data, run annotation jobs, enforce QA workflows, and export structured fine-tuning datasets.
- Model Evaluation Benchmarking: Create golden datasets and LLM judge prompts to systematically benchmark model performance across tasks and versions.
- Human-in-the-Loop ML: Integrate SuperAnnotate into active learning loops where model predictions are reviewed and corrected by human annotators to improve data efficiency.
- Multi-Modal Data Pipelines: Build pipelines handling simultaneous image, video, audio, and text annotation within a single project for multimodal model training.
- Enterprise Data Ops Automation: Use the Python SDK and REST API to programmatically manage annotator teams, project progress tracking, and dataset versioning at scale.
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