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Monitor usage, detect threats, ensure compliance, and optimize your AI infrastructure with comprehensive LLM tracing — an enterprise platform that gives you tracing, security monitoring, and operational management across your entire AI stack.
Zero code changes to start. One platform owns instrumentation, monitoring, security, and cost optimization.
Python SDK auto-instruments your LLM stack with zero code changes.
Real-time tracking of LLM calls, token usage, latency, and costs.
OWASP AI threat detection — prompt injection, data leakage, jailbreaking.
Cost reduction, performance improvement, and compliance assurance.
No re-platforming. The SDK detects what you’re using and instruments it.
One pane of glass across every LLM provider in your stack — no per-provider integration to build.
Auto-instruments the orchestration layers and agent frameworks your team already builds with.
The three things you’d otherwise stitch together from a tracing tool, a security scanner, and a cost dashboard.
Real-time API call and response monitoring with full conversation lineage across providers.
OWASP AI Top 10 coverage out of the box — prompt injection, data leakage, jailbreak attempts.
Custom dashboards, alerting, and forecasting on the metrics your team actually decides on.
Real-time observability, security, cost, compliance — all in one platform.
Live visibility into every API call, response, and conversation.
OWASP AI Top 10 detection with per-event alerting and policy actions.
Per-provider, per-model, per-team token spend with chargeback support.
GDPR, HIPAA, SOC 2 — automated evidence collection and reporting.
Session-level grouping, intent tagging, and outcome correlation.
Latency, throughput, retry-rate, and per-prompt quality tracking.
Statistical detection on usage, cost, latency, and error patterns.
Python SDK + REST API — embed in any service, any pipeline.
Each role gets a tuned view — with the numbers to justify the deployment.
On-premise and private-cloud deployment. All LLM monitoring and analysis happens inside your perimeter.
On-premise and private-cloud deployment options. All LLM monitoring and analysis happens within your network — nothing leaves your perimeter.
GDPR, HIPAA, SOC 2, and ISO 27001 — built-in audit trails, encryption, and access controls. Evidence collection automated.
Every LLM call, every security event, every cost change — logged with timestamps, user, model version, and policy actions.