Tokyo AI

Tokyo AI is an advanced monitoring and analytics platform designed to help teams track, understand, and optimize AI-driven user interactions across multiple products and clients. It centralizes telemetry from LLM applications, chatbots, and AI agents, providing a unified view of how users engage with your AI systems. The primary purpose of Tokyo AI is to give engineering, product, and data teams actionable insight into performance, reliability, and user behavior so they can iterate faster and with greater confidence.

Tokyo AI offers detailed session tracking, capturing prompts, responses, metadata, and user actions in a structured and searchable format. It supports multi-tenant environments, making it straightforward to manage and analyze interactions across different clients or deployments from a single dashboard. Built-in analytics help you monitor key metrics such as latency, error rates, model usage, and user satisfaction signals, enabling early detection of issues and regression tracking after releases. Tokyo AI also facilitates auditing and compliance by maintaining a clear history of AI decisions and interactions, with configurable data retention and access controls.