Agent Evals

What makes us different?

Detailed Scoring
vs. Simple Blocking

While others focus on blocking unwanted outputs, we excel in scoring and evaluating LLM behavior, providing a more nuanced and insightful measure of performance.

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Readable Metrics

Unlike other tools that offer only technical outputs suited for ML experts, our platform provides clear and understandable evaluation metrics (e.g. truthfulness, safety, relevance, context recall, +30 others) making it easy for anyone to assess and improve LLM performance, not just experienced data scientists.

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Custom Evaluators

Root Signals allows you to easily build high-quality, LLM-based custom evaluators tailored to your specific niche use case that stay up-to-date as your models evolve and provide continuous feedback to consistently enhance your GenAI app’s performance.

Build Custom Evaluator

Download our free eBook on agent evaluations

With Root Signals, we went from 65% to 83% accuracy
FinTech Company

We see instant value after buying Root Signals Evaluation SDK. We can easily implement it as part of our chatbot function
Software Scaleup

What makes us different?

Detailed Scoring
vs. Simple Blocking

Readable Metrics

Custom Evaluators

Root Signals Evaluators Whitepaper

Download our free eBook on agent evaluations

With Root Signals, we went from 65% to 83% accuracyFinTech Company

We see instant value after buying Root Signals Evaluation SDK. We can easily implement it as part of our chatbot functionSoftware Scaleup

What makes us different?

Detailed Scoring vs. Simple Blocking

Readable Metrics

Custom Evaluators

Root Signals Evaluators Whitepaper

With Root Signals, we went from 65% to 83% accuracy
FinTech Company

We see instant value after buying Root Signals Evaluation SDK. We can easily implement it as part of our chatbot function
Software Scaleup

Detailed Scoring
vs. Simple Blocking