If you're looking for a company that offers high-quality custom AI training data and annotation services, Clickworker is a good choice. Clickworker taps into a global crowd of more than 6 million freelancers to generate, validate and label AI training data across many subjects and demographics. The platform offers a variety of data solutions, including computer vision, audio and NLP. Clickworker places a premium on quality and reliability through a freelancer qualification process, quality assurance processes and adherence to ISO 27001 and GDPR. It's a good option for ensuring AI systems are as accurate and efficient as possible.
Another good option is SuperAnnotate, an end-to-end platform for training, testing and deploying AI models with high-quality training data. It can pull data from local and cloud storage and offers a customizable interface for a broad range of GenAI tasks. SuperAnnotate has advanced AI, QA and project management tools, along with a global marketplace of 400+ vetted annotation teams. It's designed to accelerate AI development while ensuring quality and accuracy, making it a good option for any AI project.
Appen offers an end-to-end platform for high-quality, diverse data that can be used for foundation models and enterprise-ready AI applications. It offers human feedback and human-AI collaboration through a customizable platform, covering a broad range of data types including text, images, audio and video. Appen has worked with major brands and completed more than 20,000 AI projects. Its flexible deployment options and scalable solutions make it a good option for collecting, curating and fine-tuning data for AI applications.
For computer vision and generative AI, Encord offers a data development platform for computer vision and generative AI. It includes tools for data ingestion, cleaning, curation, automated labeling and model performance evaluation. Encord's Annotate tool supports a variety of annotation types and offers one-click automated labels, while its Active tool monitors and evaluates model performance. The platform is designed to handle sensitive data with SOC2, HIPAA and GDPR compliance, making it a good option for improving model performance and shortening AI development lifecycles.