Model Evaluation Solutions for Safer, More Reliable AI

SuperAnnotate empowers leading AI teams to confidently evaluate foundation models, leveraging advanced tools for automated and manual review. With flexible, customizable workflows, our platform ensures models are effectively tested, their performance optimized, and potential risks mitigated.

Challenges in Evaluating Foundation Models

Evaluating foundation models on niche or proprietary use cases presents unique challenges as they become complex. Often, human evaluation is necessary to ensure models perform effectively in these specialized areas. Here are some of the key hurdles:

Scalable Model Evaluation for Safe AI

SuperAnnotate is purpose-built to meet the complex demands of evaluating foundation models and other machine learning-based systems. Our platform offers customizable evaluation interfaces, workflows, extensive automation abilities, and people and project management. This provides a holistic approach to model evaluation that ensures models are safe, effective, and compliant.

Customizable Multimodal Evaluation Interfaces

SuperAnnotate’s drag-and-drop low-code/no-code evaluation interface makes it easy to create an evaluation tool for your model in seconds. This makes it easy for evaluators to test your model and allows you to adapt to changes as your models evolve.