SuperAnnotate: AI Data Annotation Platform
SuperAnnotate helps AI teams and enterprises manage the creation and curation of training data. It supports SOC 2, HIPAA, and GDPR compliant workflows for multimodal data.
At a glance
- Category
- Data & Analytics
- Best for
- Enterprise companies, Foundation model builders, AI/ML teams
- Pricing
- SuperAnnotate offers three tiers: Starter for small projects, Pro (including SSO and 2.5K compute hours), and Enterprise (including 10K compute hours and AI DataOps consulting).
- Key use cases
- RLHF Pipeline Development, RAG System Evaluation, Multimodal Model Training, SFT Dataset Creation, AI Agent Evaluation
- Integrations
- AWS, GCP, Azure, Databricks, Snowflake
- Official website
- superannotate.com
SuperAnnotate is a platform designed for building, training, and evaluating AI models through human-annotated data. It combines a software toolset for data labeling with a managed service that provides vetted annotation professionals.
The tool is designed for enterprise companies, foundation model builders, and AI/ML teams. It supports various data types, including text, image, video, and audio, and allows teams to create custom annotation interfaces tailored to project needs.
Beyond basic labeling, the platform supports AI development workflows such as RLHF and RAG evaluation. It integrates with several major cloud and data providers to help maintain data pipelines.
Buyers should confirm their specific compute hour requirements and security needs, as features like SSO and dedicated support are available on higher-tier plans.
Key Features
A drag-and-drop builder for creating specific annotation interfaces and interactive workspaces.
Editors for handling image, video, text, and audio data types within the platform.
Access to vetted and professionally managed annotation teams for data labeling projects.
Supports SOC 2 Type II, ISO/IEC 27001:2022, GDPR, CCPA, and HIPAA standards.
Capabilities designed for Reinforcement Learning from Human Feedback and Supervised Fine-Tuning datasets.
A system for automating workflows and managing compute hour allocations.
Use Cases
Building large-scale preference datasets to align AI models using human feedback.
Using human data to evaluate the performance of Retrieval-Augmented Generation systems.
Labeling and curating datasets involving image, video, audio, and text for model training.
Creating fine-tuning datasets to refine the performance of large language models.
Reviewing the choices and responses made by AI agents to help improve accuracy.
Best For
Integrations
Pricing
SuperAnnotate offers three tiers: Starter for small projects, Pro (including SSO and 2.5K compute hours), and Enterprise (including 10K compute hours and AI DataOps consulting).
FAQ
The platform supports multimodal data, including image, video, text, and audio.
Yes, it offers an expert talent network of vetted and professionally managed annotation teams.
The Pro plan is designed for scaling AI projects and offers SSO and a dedicated Slack channel, while the Enterprise plan is for high-volume projects with dedicated solutions engineers.
Source category: Data & Analytics
Source subcategory: Machine Learning Platform
