Elevate AI Agent Performance with Actionable Insights

Control your AI model costs and optimize your AI Agent performance with GALE’s real-time analytics. Analytics provide insights into key performance metrics like token usage, model latency, and agent response times.

Real-time analytics Track generative AI Agents and models with real-time insights into credit consumption, latency, and response times for faster, data-driven decisions. Control model token usage costs Monitor token usage across your large language models and reduce costs. View usage from at the AI agent and model levels to minimize unnecessary usage. Optimize agent performance Gain insights into AI Agent deployment and usage patterns over time with GALE’s agent analytics, displaying successful agent runs versus failed runs. Enhanced security and compliance Review every action within your account, including user logins, role changes, and model deployments with an audit log of time-stamped user activities.

Additional Modules

Our GALE platform provides full control over AI agent and model performance. With real-time analytics, cost monitoring, and enhanced security features, GALE empowers you to optimize performance, track usage, and ensure compliance, all while scaling your AI ecosystem with ease.

Secure and Monitor Activity GALE’s Audit Log offers complete transparency, tracking every user action in your account. From logins to model changes, time-stamped logs provide clear insight into all events, ensuring enhanced AI security and compliance. Track Agent Performance Easily monitor your AI agents with detailed metrics that track deployment numbers, run statistics, and latency. GALE’s advanced agent analytics helps you maintain optimal performance across multiple agents, ensuring scalability. Minimize Costs Gain full control over your AI model costs with GALE’s detailed token usage analytics. Track resource consumption, credit usage, and deployment expenses in real-time, allowing you to make informed cost-effective decisions. Detect Anomalies Quickly identify anomalies or unauthorized usage by filtering logs for specific events or users. Custom filters enable targeted log searches to detect suspicious activity such as the addition of unauthorized models or APIs. Faster Troubleshooting Visualize which agents and models are unsuccessful at executing workflows and tasks with a dashboard that shows the number of successful tasks completed by agent. Pinpoint specifically where problems occur in the agent workflow. Monitor Model Performance Monitor how LLM models perform over time based on the number of successful or unsuccessful executions of prompts and average latency across all model runs. Ensure your users have fast and responsive customer experiences.