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.
See how AnoSys traces AI workflows, investigates incidents, and turns telemetry into operational decisions.
Start with the operational questions that slow teams down today, then trace every answer back to telemetry, evals, cost, and business impact.
Follow a customer-impacting incident from alert to trace, tool call, model response, retry loop, and root cause in one investigation.
Attribute cost spikes to agents, models, prompts, workflows, and customers so teams can reduce spend without guessing.
Compare production behavior against eval results, safety checks, latency, and business KPIs before regressions reach users.
Connect every signal, correlate it with model, agent, infrastructure, and business-process behavior, then route the right action to the right team.
AnoSys follows the operational loop mature teams already use: observe every signal, orient around business context, decide with evidence, and act with automation.
Collect every signal that explains AI behavior and business impact.
Understand what changed, who is impacted, and why it matters.
Prioritize the response with evidence, evals, and causal context.
Route, automate, govern, and close the loop.
Real views from AnoSys — trace an agent run, watch the dashboards, and investigate in plain English.
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.
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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.
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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.
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No proprietary agents. No complex setup. Bring your data from anywhere — we handle the rest.
Push events and metrics via standard HTTP endpoints
Native OTLP support — traces, metrics, and logs
Lightweight JS tracker and image pixel for web analytics
S3, Google Cloud Storage, FTP, and custom file drops
First-class observability for the AI coding agents that power modern development. Trace every session, optimize spend, and run evals — out of the box.
Full observability for Claude Code sessions — trace reasoning chains, tool invocations, file edits, and terminal commands in real time.
Deep integration with OpenAI Codex — monitor sandboxed task execution, tool use, and multi-step code generation with full trace visibility.
Works with any AI coding agent or framework — see all integrations →
Bring your telemetry, business signals, and AI traces — then apply domain-specific playbooks to detect risk, prevent incidents, and explain root cause.
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.
Correlate backend services, AI agents, user behavior, and business KPIs in one view so every incident has technical and customer context.
Learn moreLearn normal behavior, surface meaningful anomalies, summarize incidents, and help every team investigate without learning another query language.
Learn moreIngest from APIs, OpenTelemetry, SDKs, JavaScript, cloud storage, files, and custom workflows without proprietary agents or vendor lock-in.
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