TuringPulse is the AI agent control plane and operational layer that gives engineering and compliance teams full lifecycle visibility, runtime policy enforcement, and auditable governance for autonomous AI systems.
From evaluations in development to monitoring in production — launch agents with confidence through continuous validation across the lifecycle.
Enforce runtime guardrails that catch policy violations, quality regressions, and unsafe outputs before they reach your users.
Connect agent performance to business KPIs. Reduce incident response time and cut costs with integrated observability and governance.
Core capabilities that give teams visibility, context, and control across the entire agentic lifecycle—including a built-in AI Assistant for faster configuration and reporting.
Go deeper on AI agent governance and AI agent evaluation, or read evaluating agents in production and observability for AI agents.
Unified observability for agentic and predictive AI systems
End-to-end tracing across agent hierarchies and sessions
Continuous quality scoring with LLM-as-judge and golden datasets
In-portal copilot for telemetry Q&A and draft rules, policies, and dashboards
Runtime policy enforcement, HITL review, and compliance packs
Audit trails, governance dashboards, and regulatory alignment
Govern and audit tool usage across MCP-connected agents