B2B implementation service

Operational Intelligence for Agentic Systems

We give your workflow a nervous system — wiring observability, intelligence, and trustworthiness directly into your agent stack without changing your existing tools.

Reflect → Reflex → Reflection

What AgentTrace Does

We give your workflows a nervous system for trustworthy operations — observability + intelligence with minimal intrusion and maximum impact.

Agent Logs + Trace Graph

Clean causal chains across agent steps, tools and messages.

Signal Path & Causality

Understand what triggered what — from inputs to reflex actions.

Run-time Evaluations + Reflex Actions

Guardrails, retries or alerts executed at run-time to stabilize behavior and preserve trust.

Multi-agent tracing, MCP & Context Propagation

Visibility across agents, MCP calls and inter-agent context flow.

Reflection / Evaluation Engine

Structured evaluations to measure correctness, safety, stability — and continuously improve agent behavior.

Wide range of observability backend integrations

Send structured activity, traces and evaluations into Langfuse, Arize Phoenix, Grafana, Kibana, and more.

Service Walkthrough

Discovery & Architecture Review — understand workflows, constraints.
Tracing & Observability Injection — instrumentation, hooks, wrappers.
Reflex Layer — define automatic safety and stability behaviors.
Reflection Layer — evaluation logic and improvement cycles.
Rollout + Monitoring — long-term support and refinement.

Use Cases

LLM Observability

Deep traces and metrics for prompts, tools, retrievals, integrations, and agent–backend interactions.

Multi-agent Workflows

Track inter-agent causality and context propagation.

Safety Pipelines

Guardrails + evaluations with run-time reflexes.

Enterprise Debugging

Faster RCA and reproducibility for mission-critical automations.

Automated Evaluation

Continuous scoring against ground truth or heuristics.

Reliability Monitoring

Detect regressions, abnormal patterns, or drift.

Integrations

We instrument your agent workflows — CrewAI, Google ADK, LangChain, LlamaIndex, LangGraph, AutoGen, Semantic Kernel — and, practically any agent framework, such as LangChain (Python/JavaScript), LangGraph (Python/JavaScript), CrewAI (Python), AutoGen (Python), Semantic Kernel (.NET/Java/Python), LlamaIndex (Python/JavaScript), LangChain4j (Java), LangChainGo (Go), and emerging Rust ecosystems — ensuring context propagation across databases, vector stores, graph stores, message buses, MCP servers and remote agents. All signals are reflected into your existing observability backends such as Langfuse, Arize Phoenix, Grafana, Kibana, OpenTelemetry — or any custom enterprise platform.

About

AgentTrace is founded and driven by engineers with more than a decade of experience in distributed systems, observability, agentic workflows, AI evaluation pipelines, and production-grade automation. We apply deep technical expertise to help organizations build agentic systems that are trustworthy, introspectable, and operationally reliable. Our mission is to bring transparency, explainability, strong deterministic logic, evidencibility, and continuous improvement into every agent workflow. Inspired by nature, we design solutions that are minimally intrusive yet maximally impactful — like a real neural system.