The control plane for AI agents
Everything you need to run AI agents in production, with confidence.
Watch how TuringPulse monitors, governs, reviews, and evaluates — end to end.
Understand every decision your agents make
Trace workflows, analyze quality, and understand why agents behave the way they do. From individual span-level inspection to workflow-wide comparisons.

Replay every step of every agent execution
Full DAG visualization of agent workflows. Inspect every LLM call, tool invocation, and retriever query. Compare inputs, outputs, latency, and cost at every node.
Score agent outputs for quality and consistency
Run automated quality checks against custom rubrics. Track accuracy, relevance, factual grounding, and safety across thousands of runs. Compare scores across versions.
Build custom KPI queries
Flexible query builder for any metric: latency p50/p95/p99, token usage, cost, error rates, custom business KPIs. Slice by workflow, agent, time range, or custom attributes.
Explain regressions and failures
Automatic correlation between config changes, prompt updates, and performance shifts. Identify the exact commit, parameter, or data change that caused a regression.
Enforce policies before damage is done
Set guardrails, enforce thresholds, and apply governance rules across your agent fleet. Compliance built into your operations, not bolted on.

Define rules agents must follow
Declarative policy rules evaluated at runtime via SDK integration. Block, flag, or route agent actions for human review when they violate governance policies. Supports 30+ condition types with tenant-level overrides.
Set hard limits for acceptable behavior
Define static thresholds (cost > $X) and dynamic baselines (drift > 2 standard deviations). Rolling baseline computation from historical data with configurable warning and critical thresholds.
Control what your agents can do with external tools
MCP proxy intercepts every tool call for policy evaluation. Scan arguments and results for PII, enforce regex rules, block or flag violations, and maintain full audit trails. Works with Cursor, Claude Desktop, and any MCP-compatible client.
Audit-ready governance templates
Pre-built compliance packs for HIPAA and GDPR with policy definitions and regulatory references. Apply packs to tenants to enforce compliance-aligned governance rules with enforcement logging.
Catch problems before they escalate
Track KPIs, detect drift, catch anomalies, and alert the right people at the right time. See the pulse of every agent in your fleet.

Real-time agent performance visibility
Configurable dashboards showing success rates, latency, cost, and custom business metrics. Historical trends, comparisons, and drill-downs. Per-workflow and per-agent views.
Detect behavior shifts from baselines
Statistical monitoring of agent performance metrics. Detect performance drift and cost drift using z-score, percentage, and IQR methods. Configurable sensitivity with automatic baseline recalibration.
Catch unexpected patterns early
Define custom anomaly rules using statistical thresholds, pattern matching, or composite multi-metric conditions. Automatic anomaly classification and severity scoring.
Route alerts to the right people
Slack, Microsoft Teams, Telegram, email, and custom webhook integrations. Severity-based filtering and rate limiting per channel. Rich notifications with alert context and metrics.
Humans and agents, working together
Enable human review, track approvals, and maintain oversight across your organization. When automation meets accountability.

In-portal copilot for ops and governance
Built-in assistant in the portal: ask natural-language questions about your workflows, get summaries from telemetry, and receive draft KPI, drift, anomaly, and compliance rules plus policy, eval, and dashboard suggestions grounded in your project. Drafts are for your review—nothing applies until you accept.
Surface flagged decisions for approval
Priority-ranked queue of agent decisions requiring human review. Full context: trace, inputs, outputs, confidence scores, risk factors. Approve, reject, or modify with one click.
Automate when human review is required
Policy-based triggers that automatically route flagged decisions to reviewers. Configure conditions using 30+ rule types to determine when human oversight is needed. Role-based access controls for review permissions.
Track approval patterns at scale
Dashboards showing approval rates, average review time, reviews by workflow, and enforcement statistics. Track policy enforcement outcomes and review patterns across your fleet.
Track human and policy decisions
Timestamped record of human review decisions and policy enforcement outcomes. Track who reviewed what, when, and what action was taken. Audit logs for RBAC changes and system administration.
Works with your stack
See the heartbeat of every agent.
Integrate in under five minutes. No changes to your business logic.