Scoreable

Key Features and Functions include:

Custom Evaluator Builder
Provides tools to create context-specific evaluation criteria for AI outputs beyond generic benchmarks. Users can define what matters most for their domain and generate evaluators that align with business objectives.

LLM Performance Monitoring
Enables continuous monitoring by embedding evaluation logic into production systems. This helps identify issues such as inconsistent behavior, quality regressions, or hallucinations as systems run live.

Model Comparison & Selection
Facilitates scoring and comparison of different AI models on custom criteria to determine which model best suits a specific use case or production scenario.

Integration Flexibility
Designed to work with a variety of AI stacks and model providers, allowing teams to integrate evaluation workflows with minimal disruption to existing development processes.

Custom Judge Models (e.g., Root Judge)
Offers advanced judge models such as Root Judge, a dedicated LLM trained to assess and detect issues like hallucinations, with a focus on transparency and explainability.