Tokyo AI

Signals AI is an AI-native engineering-intelligence platform that continuously monitors development workflows and tool usage to surface real-time insights and risk signals. It combines traditional engineering metrics (e.g., deployment frequency, build and test outcomes, project activity) with AI-powered tracking of how teams use tools, enabling automatic detection of potential bottlenecks, delays, or emerging issues before they escalate. Signals AI integrates with systems like Jira and supports project-level visibility into execution, investments, deployments, and team performance metrics. It delivers real-time alerts for build failures, deployment risks, SLA breaches, and more, right where teams collaborate (e.g., in Microsoft Teams). Weekly digests summarize key operational metrics such as cycle-time, deployment frequency, and project hotspots. Its dashboards and AI-driven insights include root-cause analysis and recommended fixes, helping engineering leaders proactively.

​Aurascape is an AI-native security platform designed to help businesses innovate securely in the age of AI. It provides comprehensive visibility into AI application interactions, safeguarding against data loss and AI-driven threats. Key features include monitoring AI activities across numerous applications, protecting sensitive data to ensure compliance, defending against zero-day threats, facilitating secure deployment of AI copilots, enforcing coding assistant guardrails, and automating AI security workflows. Aurascape's mission is to enable organizations to adopt AI technologies confidently while maintaining robust security measures. AI applications interact in fundamentally new ways. Communications are dynamic, real-time, and autonomous. Prevent new threats, protect data with unprecedented precision, and keep teams productive. Monitor unsanctioned app usage, risky authentication, and unsafe data sharing.