lidar

LLM as a Judge

Automate quality evaluation of AI-generated content at scale. Deploy LLM judges to grade model outputs, identify failures, and accelerate model iteration cycles for production readiness.

Structured Evaluation Setup

Import model-generated content alongside source data (images, prompts, metadata). Configure evaluation criteria and grading schemas. Set up side-by-side comparisons of inputs and AI-generated outputs.

LLM-Powered Analysis

Trigger LLM agents to grade content quality across multiple criteria. Generate automatic summaries and refinements of model outputs. Analyze structured attributes and flag inconsistencies or errors in generated content.

Quality Metrics & Iteration

Export graded evaluations with detailed reasoning for model improvement. Aggregate quality scores across datasets to identify systemic failures. Feed evaluation results back into training pipelines for continuous model refinement.

Trusted by pioneering AI Teams