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Production AI operations

Find, explain, and prevent AI failures before they impact customers.

AnoSys correlates agent traces, model behavior, application telemetry, evals, cost, governance signals, and business workflows in one control plane so teams can operate AI with confidence.

OpenTelemetry native Agent, model, and tool traces Cost, evals, governance, and RCA
AnoSys Console — Production Overview
1,247
Agent Sessions
$0.42/hr
Token Spend ↑3×
94.2%
Eval Score
3
Open Alerts
Agent Trace · checkout-agent · 4.2s total
checkout-agent gpt-4o
4.2s
tool.search_inventory REST
842ms
tool.search_inventory retry
1.1s
llm.completion gpt-4o
312ms
Retry loop detected · root cause: rate limit on search_inventory
Token Usage · 24h
⚠ Spike · 14:22 · 3× baseline
AutoJudge Evals
Accuracy
94%
Safety
99%
Relevance
78%
AI Copilot: Token spike in gpt-4o caused by retry loop in checkout-agent. Add exponential backoff to search_inventory.
Illustrative product view
AnoSys Platform Overview

See how AnoSys traces AI workflows, investigates incidents, and turns telemetry into operational decisions.

< 5 min
First trace via OTLP/HTTP, REST, SDK, or Collector
250+ channels
Any framework, business process, or telemetry source
180+ days
History for RCA, audits, evals, and trend analysis
6+ signal types
Traces, metrics, logs, evals, KPIs, and custom events
AI Copilot
Interpret, summarize, and root-cause incidents in seconds
Common Workflows Teams Run in AnoSys

Start with the operational questions that slow teams down today, then trace every answer back to telemetry, evals, cost, and business impact.

Debug

Why did this agent fail?

Follow a customer-impacting incident from alert to trace, tool call, model response, retry loop, and root cause in one investigation.

Optimize

Where is token spend leaking?

Attribute cost spikes to agents, models, prompts, workflows, and customers so teams can reduce spend without guessing.

Release

Did quality regress after a change?

Compare production behavior against eval results, safety checks, latency, and business KPIs before regressions reach users.

Built as a Control Plane for Production AI

Connect every signal, correlate it with model, agent, infrastructure, and business-process behavior, then route the right action to the right team.

Sources Agents, models, apps, infra, IoT, business workflows
Ingestion OTLP/HTTP, Collector, REST, SDKs, files, pixels
Correlation Traces, evals, logs, metrics, costs, KPIs
Intelligence Anomalies, AutoJudge, RCA, recommendations
Action Alerts, workflows, governance, reports, fixes
One Platform to Operate AI in Production

AnoSys follows the operational loop mature teams already use: observe every signal, orient around business context, decide with evidence, and act with automation.

See the Console, Not Just the Pitch

Real views from AnoSys — trace an agent run, watch the dashboards, and investigate in plain English.

Trace

Follow every agent run, span by span

Triage, handoffs, turns, LLM calls, and tool functions — laid out on one timeline with exact durations, so the slow span or stalled handoff is obvious at a glance.

Explore tracing →
Trace · Timeline
AnoSys console showing a multi-agent trace timeline with TriageAgent handing off to TravelAgent, turns, LLM responses, and a search_flights function call
Dashboards

Dashboards for cost, quality, and safety

Start from a library of prebuilt dashboards or build your own — agent performance, token spend, refusals, monitoring — every tile drilling down to the trace behind the number.

Explore dashboards →
Dashboards
AnoSys dashboard gallery showing a grid of prebuilt and custom dashboards for agent performance, cost, safety, and monitoring
Investigate

Ask in plain English with the Anosys Copilot

Pick the signals that matter — cost, latency, session quality, tool stats — and ask. The Copilot reasons over your real telemetry to summarize incidents and explain failures.

Explore the Copilot →
AI Assistant · Anosys Copilot
AnoSys Copilot interface letting the user select data sources such as token usage, cost, and tool usage stats to include in a natural-language analysis
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
Learn More
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
Learn More

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

Why Leading Teams Choose AnoSys

Traditional monitoring shows symptoms. AnoSys connects AI behavior, application telemetry, evals, cost, and business impact so teams know what happened, why, and what to do next.

End-to-End Correlation

Correlate backend services, AI agents, user behavior, and business KPIs in one view so every incident has technical and customer context.

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AI-Native Intelligence

Learn normal behavior, surface meaningful anomalies, summarize incidents, and help every team investigate without learning another query language.

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Flexible & Open

Ingest from APIs, OpenTelemetry, SDKs, JavaScript, cloud storage, files, and custom workflows without proprietary agents or vendor lock-in.

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