Track and summarize AI API usage for better oversight and prioritize outbound traffic. Gain comprehensive insights into GenAI usage across your organization, including detailed visibility into how different LLM providers and services are utilized. Identifying patterns of usage will empower your teams with data-driven decision-making to optimize resource allocation, model selection, and overall AI integration.
Implement robust mechanisms to monitor and summarize AI API usage.
Develop strategies for managing and prioritizing GenAI usage with better oversight of calls to external LLM services.
Monitor backend rate limits based on requests and token count, and manage subscription-level access controls for fair usage.
Gaining visibility and control over GenAI services is essential for businesses to effectively scale their AI use. As AI adoption grows, managing usage patterns, ensuring compliance, and optimizing performance become critical to meeting customer expectations and operational goals. With robust visibility, businesses can monitor AI interactions, identify opportunities for improvement, and prevent bottlenecks, enabling seamless growth without compromising service quality or efficiency.
Create a comprehensive approach to managing AI API interactions.
Seamlessly integrate well-known and custom LLM service providers.
Enable API developers to easily create and deploy APIs through a dedicated gateway.
Optimizing AI usage enables businesses to achieve more with less, maximising the value from their AI investments. By fine-tuning resource allocation, managing workloads efficiently, and leveraging scalable solutions, businesses can reduce unnecessary expenses while maintaining high performance, improving efficiency, and enabling organizations to reinvest savings into innovation and growth.
Transparent API usage to control access to LLMs and for what purposes, while informing cost optimization.
Balance innovation and cost control by transforming API expenses into measurable business value.
Create detailed analytics including vendor and model-based token usage graphs.
Utilize full lifecycle API management and governance to give control and visibility of AI services, while effectively navigating the complexity of AI APIs for everyone in your organization.
Administrators can efficiently manage popular LLM providers while onboarding custom AI providers tailored to unique business needs.
Administrators can also track detailed analytics, including token usage by vendor or model, using intuitive dashboards - optimizing for usage patterns and forecasting costs.
Using predefined LLM providers simplifies API creation and deployment for developers, accelerating the development lifecycle and ensuring robust, scalable implementations.
API developers can enforce backend rate limits by defining token and request thresholds, safeguarding against excessive usage costs.
To ensure equitable access for API consumers, API product managers can introduce subscription rate limits.
Product managers can control access via subscription policies, allowing for creating structured plans that balance cost with access tiers.
