Multimodal annotation editors
Use editors for image, video, text, and audio data in one platform, which supports multimodal annotation and review across different project types.
Plataforma de dados de IA para criar pipelines de anotação e avaliação de imagens, vídeo, texto e áudio.
SuperAnnotate is an AI data platform for building annotation and evaluation pipelines. It is designed to help teams create, manage, and review high-quality data for model training, fine-tuning, RLHF, agent evaluation, RAG, and other AI workflows.
The platform combines multimodal annotation editors, custom workflows, team management, analytics, and review cycles in one place. The site also emphasizes enterprise security, direct connections to AI stacks, and pricing plans that range from Starter to Enterprise.
Use editors for image, video, text, and audio data in one platform, which supports multimodal annotation and review across different project types.
Build custom annotation forms and multi-layer workflows to transform domain data into structured training and evaluation assets.
Add expert review cycles, automated validations, and manual QA steps to keep data quality consistent as datasets scale.
Track progress, assign work, and coordinate large annotation teams through centralized project and workforce management tools.
Connect to data sources, model training pipelines, and AI tools to move information into annotation and evaluation workflows with less infrastructure overhead.
Collect analytics and insights to monitor dataset creation and model-related work across projects.
Create fine-tuning datasets with custom annotation workflows, workforce coordination, and multi-step QA to support model training at scale.
Collect human preference data for RLHF or DPO workflows, including multimodal review and hybrid human-plus-machine validation.
Review agent behavior step by step, including inputs, reasoning paths, tool use, and decisions, to find failures and improve workflows.
Assess RAG systems by tracing performance bottlenecks and refining the underlying dataset or evaluation process with expert input.
Use collaborative review workflows to compare model outputs, validate annotations, and generate datasets for model evaluation.
SuperAnnotate is used to build annotation and evaluation pipelines for AI data, including fine-tuning datasets, preference datasets, agent evaluations, RAG workflows, and model evaluation. The site positions it for teams that need human review and data management across the AI development lifecycle.
The pricing page lists Starter, Pro, and Enterprise options. Starter is presented for getting started and small projects, Pro for scaling more sophisticated AI projects and MLOps needs, and Enterprise for recurring, high-volume work with additional support services.
The product is presented as a platform with multimodal editors for image, video, text, and audio data, plus data curation, analytics, and team/project management tools. It also emphasizes direct connections to data sources and AI tooling.
The site states enterprise-grade security with SOC 2 Type II and ISO/IEC 27001:2022, plus GDPR, CCPA, HIPAA, SSO, and 2FA support. It also says the platform can be used in the cloud or on-prem.
The site highlights direct imports from data and AI platforms, but it does not provide a detailed public integration catalog in the collected text. It describes integration broadly rather than naming many specific third-party tools.
Os dados de tráfego são apenas para referência.
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