Results for “quality scoring”

• HoneyHiveby HoneyhiveAgent observability and evaluation platform for tracing, scoring, and improving AI agents.FreemiumWatch
• Confident AIby Confident AIYC W25AI quality platform for evaluating, tracing, and monitoring LLM applications across teams.FreemiumWatch
• Braintrustby BraintrustAgent observability and evals for engineering and product teamsFreemiumWatch
• Coralogix AI Observabilityby CoralogixAI observability with per-agent evaluators, cost tracking, and session tracingPay as you goWatch
• New Relic AI Observabilityby New RelicObservability for AI-powered applications and agent stacksFreemiumWatch
• Prefactorby PrefactorEvaluate live agent runs and intervene when actions need reviewFreemiumWatch
• Deepchecks LLM Evaluationby DeepchecksProduction-grade LLM evaluation, testing, and monitoring platformPaidWatch
• Lunaryby LunaryMonitor LLM applications, review conversations and improve prompts$20+/user/moWatch
• Managed MLflowby DatabricksExperiment tracking, tracing, evaluation and model management for ML and GenAI on DatabricksPay as you goWatch
• Inference.netby inference.netInference infrastructure for serving, monitoring, and training LLMsFreemiumWatch
• W&B Weaveby CoreWeaveObservability, evaluation, and guardrails for production AI agentsFreemiumWatch
• LangSmithby LangChainTrace, monitor and evaluate AI agents in productionFreemiumWatch
• Evidently AIby Evidently AIYC S21Open-source AI evaluation and observability for LLMs and ML modelsUnknownWatch

That’s all 13 tools.

Ask this in Claude or ChatGPT next time

Add Orca to your assistant once. Then ask “quality scoring” there, and it checks these same records.

Add to ClaudeOpens Claude · Continue, then AddAdd to ChatGPTNot in ChatGPT’s plugin directory yet · see how