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The Five Levels Of AI Agents
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Teaching LLMs to say "I don't know"
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Agent Platform GALE Analytics

Complete Visibility of AI Agent Performance

Optimize AI Agent and model performance with GALE’s Analytics. Track key metrics like token consumption, latency, and response times to ensure smooth operations. Pinpoint agent performance bottlenecks with detailed reports, and gain insights across multiple agents for greater scalability. GALE’s real-time analytics provide the visibility you need to boost AI performance.



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.

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Kore.ai Named a Leader in The Forrester Wave™ for 2024
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