Evaluate the safety, quality, and risk of models against data you provide, scored with criteria you define.Register models from OpenAI or Seekr, upload datasets from a file, HuggingFace, or Seekr, and score outputs with the evaluator library or your own LLM-as-a-Judge evaluators. Run examinations across all or part of a dataset, compare a single response across judge models, or chat with a model and score its answers inline. Weight risk categories into a risk profile to turn those scores into a risk rating per model.See What is SeekrGuard.
Last modified on August 31, 2026
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