Go beyond leaderboards. Our comprehensive evaluation provides actionable insights to enhance your model's accuracy, robustness, and real-world capabilities.
Measure correctness, factual accuracy, and reduce hallucinations.
Test resilience against adversarial attacks, out-of-distribution inputs, and prompt variations.
Analyze latency, throughput, and computational costs for real-world deployment.
Identify and mitigate harmful content, stereotypes, and biases in model outputs.
Evaluate the model's ability to accurately and reliably use external tools and APIs.
Assess the quality of user experience and the model's performance in interactive scenarios.
Downstream Tasks
Evaluation method
Capability Quadrant
Objective Benchmarks
Model-as-Judge
Human Evaluation
Alignment and Security
Bias and Fairness
Factuality and Illusion
Values and Ethics
Bias Detection
Facts LLM Judge
Security LLM Judge
Fairness Audit
Fact-checking
Red Team Testing
Application and Interaction
Multimodality
Creation and Generation
Code and Programming
Agent and Tool Usage
Multimodal LLM Judge
Open Generation
Code Quality Assessment
Agent Tasks
Graphics and Text Consistency
Comprehensive Conversation Experience
Code Review
Interactive Tasks
Core Intelligence
Knowledge and Understanding
Reasoning and Solving
Open Reasoning
Open Knowledge Quiz
Complex Problem Solving
Knowledge Quiz
From Consultation to Convergence:
A Transparent Process
Collaborate to define your unique goals and critical success metrics.
Select from standard benchmarks or customize a suite tailored to your specific use case.
Execute a hybrid testing strategy to gather both quantitative data and qualitative insights.
Receive a comprehensive report with actionable diagnostics and a clear performance summary.
Leverage our findings and data services to create a targeted fine-tuning plan for model improvement.
