The Observability
& Control Plane

for AI Agents.

Agent Tracer is infrastructure for teams deploying AI agents in production. It makes agent behavior visible, auditable, debuggable, and improvable especially in regulated environments.

How we manage
your agents efficiently

We proactively analyze, trace, and secure your probabilistic infrastructure to ensure peak performance, minimal drift, and seamless causal reasoning.

End-to-End Tracing

The most advanced tracing technology to capture every LLM call, tool invocation, and memory retrieval step.

Improvement Engine

Our optimization loops analyze historical failure patterns to suggest prompt refinements and routing adjustments.

Deep Observability

Sophisticated measurements to track RAG retrieval quality, detect drift, and flag security issues in real-time.

Multi-Modal

Trace images, audio, and browser states. Visualize exactly what your agent saw during execution.

Cost Intelligence

Track tokens per step and retry amplification. Identify cost leaks and optimize prompt efficiency.

Security

Detect prompt injection and tool abuse. Safeguard your agents against malicious inputs and unauthorized access.

"We spent 3 weeks debugging why our agent started hallucinating. Your tool would've caught it in 10 minutes."

CEO
Doorlist (Series A SaaS)

"Agent observability is crowded but regulated projects need local-first solutions. Multimodal-observability is sparsely addressed by any of them."

Deployment Lead
Palantir

"We built internal observability that looks like your screenshots. We'd gladly pay to stop maintaining it."

CTO
Chasi (YC W26)

"Standard APM tools struggle with non-deterministic agent loops. OAT gives us the causal visibility we couldn't get elsewhere."

SWE
Datadog