SuperAnnotate

SuperAnnotate offers an integrated enterprise platform to build and evaluate top-performing LLM, CV, and NLP models using high-quality training data. This platform streamlines dataset creation, curation and model evaluation, allowing users to build, fine-tune and deploy better models faster.

SuperAnnotate integrates data from local and cloud storage, allowing users to customize the interface to support a wide range of GenAI tasks. The platform creates high-quality datasets with advanced AI, QA and project management tools. Users can drill down into the underlying data to evaluate model performance and deploy models directly to any platform.

Some of the key features include:

• Connect Any Data: Connect data from local and cloud storage.
• Build Any UI: Customize the interface to support a wide range of GenAI tasks.
• Create SuperData: Create high-quality datasets for model building.
• Evaluate Any Model: Evaluate model performance and compliance.
• Deploy Anywhere: Deploy models to any platform.

SuperAnnotate also offers a global marketplace of 400+ vetted annotation teams, ensuring the quality and consistency of annotations. Advanced data insights and analytics track annotation trends, model performance and annotation time, allowing for better project management. The platform supports a wide range of data types including image, video, text and audio, with a range of tools and features for each data type.

Pricing tiers are as follows:

• Free: Great for early-stage startups and researchers, with basic features including annotation editors, team and project management and cloud integrations.
• Pro: Great for scaling advanced AI projects, with the addition of automation tools, natural language search and pipeline orchestration.
• Enterprise: Great for high-volume AI projects, with the addition of platform onboarding, project and pipeline configuration and custom scripts.

SuperAnnotate takes data security and privacy seriously, following industry standards and frameworks. The platform is designed to accelerate AI development while maintaining quality and accuracy, making it an essential tool for AI development teams.

Published on June 13, 2024