One option that stands out is SuperAnnotate. This platform offers a complete solution for training, testing and deploying the highest-performing LLM, CV and NLP models. It includes data ingestion from local and cloud storage, a customizable interface and a global marketplace with more than 400 vetted annotation teams. With AI, QA and project management tools, SuperAnnotate offers rich data insights and analytics to support a broad range of GenAI use cases.
Another good option is Encord. Encord is a full-stack data development platform that includes tools for data ingestion, cleaning, curation, automated labeling and model performance evaluation. With tools like Annotate for different types of annotation and Active for monitoring and debugging model performance, Encord offers a broad range of tools for AI use cases. It also offers data security with SOC2, HIPAA and GDPR compliance, so if you need to accelerate AI development without sacrificing data quality, it's a good option.
For those who want to automate and streamline their machine learning development, V7 is a good option. V7 includes tools like V7 Darwin for image and video labeling and V7 Go for multi-modal tasks. It supports a broad range of data formats and integrates with common tools and services. With tools like Auto-Annotate, Custom Data Workflows and compliance with strict regulations, V7 is good for industries like Healthcare, Insurance and Finance.