Observability for Agentic AI

Trace every tool call, catch silent failures, and cut runaway costs—across any framework. One platform for agents, models, and the infrastructure they run on.

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Full-Stack Visibility, Code to Customer

Correlate performance across backend services, AI agents, applications, and user behavior. Pinpoint exactly where and why KPIs move—from infrastructure to the end-user experience.

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Beyond Dashboards. Actual Intelligence.

ML-powered anomaly detection, auto-generated insights, and a natural language interface that lets you investigate without writing queries. Ask a question, get an answer backed by your data.

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< 5 min

To first trace — get observability running in minutes

Any Stack

Works with any AI framework and any ingestion method — OpenTelemetry, REST APIs, SDKs, and more

Real-Time

Advanced insights, anomaly detection, alerts, and root cause analysis — as events happen

Deep Insights

ML-powered analysis that surfaces insights, patterns, anomalies, and root causes across your entire stack

One Platform. Every Signal. Full Stack.

The OODA loop — Observe, Orient, Decide, Act — transforms raw telemetry into a continuous improvement cycle. AnoSys gives your team the tools for every phase.

Observe — Collect every signal in real time

Unified Telemetry

Ingest traces, metrics, logs, evals, and custom signals via OpenTelemetry or our SDKs — one system of record for a comprehensive view of system health.

AI & LLM Observability

Trace prompts, completions, tool calls, and reasoning steps. Capture the telemetry that traditional monitoring misses in non-deterministic AI systems.

Infrastructure, Apps & IoT

Beyond AI: monitor websites, applications, IoT devices, and streaming systems. Real-time visibility into user experience and system behavior.

Orient — Understand what the data means, not just that a threshold was crossed

Anomaly Detection

ML algorithms that learn normal behavior and correlate alerts across signals — surfacing the anomalies that matter, not just threshold breaches.

Dashboards & KPIs

Pre-built views for model health, agent reliability, and cost efficiency. Contextualize system state at a glance with drill-downs for deeper analysis.

Auto-Generated Insights

AI-powered analysis that correlates events, surfaces trends, and generates contextual recommendations — so your team understands the full picture.

Decide — Identify root cause and prioritize the response

Root Cause Analysis

Go from "something broke" to "here's why" in minutes — with causal graphs that connect anomalies to upstream triggers across agents, models, and infra.

Evals & AutoJudge

Evaluate quality, safety, and policy compliance to determine whether to rollback, scale, or patch. Automated LLM-as-a-judge scoring drives confident decisions.

ML Algorithms & Annotation

Apply custom ML models and annotate datasets to prioritize issues. AI-assisted algorithm creation helps your team make data-driven decisions at scale.

Act — Execute, automate, and feed results back into Observe

Alerting & Incidents

Real-time alerts via Slack, email, PagerDuty, and custom webhooks. Context-aware routing ensures the right team acts immediately.

Custom Pipelines

Automate remediation workflows, enrich and route signals, and generate recurrent reports. Every action feeds data back into the loop.

Natural Language Interface

Investigate, query, set up dashboards, and trigger actions in plain English. Evaluate results instantly — closing the feedback loop without switching tools.

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Connect Any Data Source in Minutes

No proprietary agents. No complex setup. Bring your data from anywhere — we handle the rest.

REST APIs

Push events and metrics via standard HTTP endpoints

OpenTelemetry

Native OTLP support — traces, metrics, and logs

JavaScript & Pixel

Lightweight JS tracker and image pixel for web analytics

Cloud Storage

S3, Google Cloud Storage, FTP, and custom file drops

Built-In Integrations for AI Coding Agents

First-class observability for the AI coding agents that power modern development. Trace every session, optimize spend, and run evals — out of the box.

Claude Code

by Anthropic

Full observability for Claude Code sessions — trace reasoning chains, tool invocations, file edits, and terminal commands in real time.

Cost tracking & spend optimization
Automated evals on code output quality
Anomaly detection for latency & failures
Session-level tracing & replay

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Codex

by OpenAI

Deep integration with OpenAI Codex — monitor sandboxed task execution, tool use, and multi-step code generation with full trace visibility.

Token & cost analytics per task
Eval pipelines for generated code
Real-time failure & regression alerts
End-to-end task observability

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Works with any AI coding agent or framework — see all integrations →

Purpose-Built for Every Industry That Runs on Data

Bring your telemetry, business signals, and AI traces — then apply domain-specific playbooks to detect risk, prevent incidents, and explain root cause.

Agentic AI

Trace multi-agent workflows, detect infinite loops and runaway spend

Foundation Models

Monitor quality, drift, and safety across providers

AI Safety & Compliance

Guardrails for hallucination, PII, toxicity, and audit trails

Network Security

Anomaly detection for traffic patterns and suspicious access

Advertising & Fraud

Detect click fraud, impression fraud, and attribution anomalies

Infrastructure & IoT

Unified metrics, logs, traces — plus fleet health for IoT and streaming

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Why Leading Teams Choose AnoSys

Traditional monitoring tools can't keep up with non-deterministic AI systems, distributed architectures, and the speed at which modern applications change. AnoSys gives you one control plane that unifies every signal — so you know what happened, why, and what to do next.

End-to-End Correlation

Correlate performance across backend services, AI agents, and user behavior in a single view. Understand how infrastructure changes impact model output, how agent decisions affect user experience, and optimize your entire stack to maximize business KPIs.

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AI-Native Intelligence

Go beyond static thresholds. ML algorithms learn normal behavior and surface the anomalies that matter. Auto-generated insights, custom algorithm builders, and a natural language interface make investigation accessible to every team — not just SREs.

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Flexible & Open

Ingest data from any source — APIs, OpenTelemetry, JavaScript, image pixels, cloud storage, or custom setups. No proprietary agents, no vendor lock-in. Build custom pipelines, algorithms, and reports that fit your exact workflow.

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Documentation

Quickstarts, API reference, and integration guides

Open Source

SDKs, examples, and integrations on GitHub

Community

Join engineers on Discord for support and discussion

Sales, partnerships, and enterprise inquiries