Observability from data to agents
Deliver reliable, production grade AI with Agent Observability. Now in public preview.
Trust what you ship
Agents have the potential to drive unprecedented ROI. They are also complex and non-deterministic.
Don’t ship and hope. Monitor prompts, context, completions, errors, metrics, and everything in between with Agent Observability.
The #1 data + AI observability platform
Data + AI in one solution
Monitor model inputs and outputs with a single pane of glass.
Built for production
Detect drifts and failures that only happen in production.
Secure and scalable by design
Store agent telemetry within your trusted data platform.
“Since we’re already monitoring data in our data lake with Monte Carlo, combining data and agent observability in a single platform gives us visibility into the full agent lifecycle — from the structured data to the unstructured knowledge base to the agent’s behavior — all in one place.”
— Travis Lawrence, Sr. Manager, ML Engineering at Pilot Flying J
Monitor, trace, and troubleshoot AI at scale
Silent regression. Incomplete context. System failure. Agents can break in all kinds of ways. With agent observability, you can detect issues fast and root cause in minutes.
- Leverage anomaly detection to detect meaningful shifts
- Deploy customizable LLM-as-judge evaluations, or use templates for relevancy, prompt adherence, and more
- Target specific spans and calls, scale using stratified sampling
- Map agent decisions step-by-step for explainability
- Gain insight into configuration changes for fast root cause analysis
- Alert to LLM or tool failures, and timeouts
- Identify bottlenecks and performance degradations
- Maintain model flexibility
- Avoid lock-in by leveraging flexible OpenTelemetry framework
- Integrate with any agents on any platform
- Reduce data related disruption to your agents by +80%
- Understand how changes in pipelines affect agent behavior
- Enhance collaboration across data + AI workflows and teams
Integrate seamlessly with your
entire data + AI ecosystem
See Agent Observability in action
Data + AI belong together
An agent is only as good as the context that feeds it. Gain confidence in your agents by monitoring them alongside the data and pipelines that feed them. Be proactively alerted to low quality data and be the first to know about model drift. Quickly fix issues before they impact AI products.
Production workflows must be observed
Make sure your agents behave reliably in production. Trace every run with detailed telemetry across prompts, completions, user queries, latency, and errors. Then deploy customizable LLM-as-judge or deterministic evaluations to detect low quality responses quickly and cost effectively. Get alerted to performance degradations and system failures.
Telemetry should stay in your environment
Telemetry data is sensitive. Maintain security, compliance, and auditability by storing it within your trusted warehouse or lakehouse. Get the insight you need across distributed models and architectures using Monte Carlo’s easy to deploy instrumentation.
Reserve your spot.
Limited availability. Complete the form, and we’ll review your request and get back to you shortly.
Get started fast—scale faster.
Fast setup—even faster time to value. Connect to Monte Carlo in seconds, start monitoring out of the box and automatically scale with your environment.