Comprehensive analytics and monitoring for your LLM applications
Book a meetingOrganizations frequently struggle to effectively analyze their data and manage LLM operations, both of which are crucial for making informed, impactful decisions that drive success for you LLM implementation.
With LLM Insights you can analyze and monitoring your LLM solutions offers a comprehensive dashboard that provides insights into usage patterns, quality metrics, risk management, and Red teaming testing.
Identify the best-performing models for your specific needs. By analyzing usage patterns and model efficiency, LLM Insights enables you to fine-tune your AI applications, ensuring maximum output. Drive smarter decision-making and elevate your AI strategy with data, precision and clarity.
LLM Insights provides comprehensive analytics by tracking user engagement, conversation measures, token consumption, productivity gains, and usage patterns across various intents, topics, and languages to optimize adoption, retention, and cost management.
Get detailed insights into user engagement with LLM Insights. Track conversation patterns, token consumption, and user retention to optimize your AI applications or LLMs.
Ensure high-quality AI outputs. Analyze sentiment, gather user feedback, and compare model performance to select the optimal model for specific use cases.
Safeguard your LLMs by monitoring potential security issues, including PII exposure events and toxic language detection across various categories. Ensure compliance with robust security measures to protect your organization effectively.
Enhance the reliability of your LLMs by evaluating model accuracy through factual correctness testing and standard deviation metrics, ensuring high standards of trustworthiness.
Beyond the out-of-box AI infrastructure, GRACE offers three modules, enabling organisations to succeed with all AI operations. Modules can be integrated into your existing solutions individually.
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