The AnoSys Platform

Observability Platform

Ingest traces, metrics, logs, evals, and custom signals via OpenTelemetry or our SDKs—one system of record across every framework.

Whether you're running LangChain, CrewAI, OpenAI Agents SDK, or custom instrumentation, AnoSys normalizes everything into a unified backend. No vendor lock-in, no data silos—just one platform for agents, models, and the infrastructure they run on.

Custom Pipelines

Enrich, route, and transform signals without glue code. Trigger actions when anomalies, regressions, or policy violations fire.

Build processing pipelines that filter noise, enrich events with business context, and route signals to the right teams—all configured declaratively. Automate remediation by triggering webhooks, Slack alerts, or PagerDuty incidents when thresholds are breached.

Anomaly Detection

Spot silent failures, cost spikes, latency drift, and abuse patterns in real time—even when dashboards look green.

AnoSys learns normal behavior across every signal you ingest and alerts when things deviate. Detect issues that static thresholds miss: gradual quality regressions, subtle cost creep, and emerging abuse patterns—before they become incidents.

Continuous Evals

Run evals in CI and in production. Catch accuracy drops, safety violations, and policy drift before users do.

Define evaluation suites as code and run them on every deployment and continuously in production. Track pass rates, failure modes, and quality trends over time. Gate releases on eval results and get alerted when production quality degrades.

Root Cause Analysis

Go from "something broke" to "here's why" in minutes—with causal paths across agents, models, and infrastructure.

AnoSys builds causal graphs that connect anomalies to their upstream triggers. Correlate a spike in agent errors with a model provider latency increase, a config change, or a data pipeline failure—automatically, without manual investigation.

Alerting & Incidents

Cut alert noise with context-aware routing and auto-escalation. Track ownership from detection to resolution.

Define alert policies that combine anomaly signals, eval failures, and business KPIs. AnoSys deduplicates, groups, and routes alerts to the right team with full context—so on-call engineers spend time fixing, not triaging.

Dashboards & KPIs

Pre-built views for model health, agent reliability, and cost efficiency—with drill-downs for debugging.

Start with out-of-the-box dashboards for common use cases—agent trace explorer, model performance scorecards, cost burn-down charts—and customize with drag-and-drop widgets. Drill from a KPI to the exact trace or log line that caused a regression.

Natural Language Interface

Ask questions in plain English, auto-generate queries, and summarize incidents—investigate without learning another DSL.

Type a question like "Why did agent latency spike yesterday?" and get an answer backed by traces, metrics, and anomaly signals. AnoSys translates natural language into queries, surfaces relevant data, and generates incident summaries you can share with stakeholders.