AnoSys correlates agent traces, model behavior, application telemetry, and business signals in one control plane so teams can find root cause, manage spend, and ship reliable AI products.
Connect every signal, correlate it with model and agent behavior, then route the right action to the right team.
AnoSys follows the operational loop teams already use: observe the system, orient around context, decide with evidence, and act with automation.
Collect every signal in real time.
Understand what changed and why it matters.
Prioritize the response with evidence.
Route, automate, and close the loop.
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 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.
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.
Learn moreGo 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.
Learn moreIngest 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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