Unified observability for metrics, logs, traces, events, and AI signals—so you can detect issues fast and ship with confidence.
Stream metrics, logs, traces, events, and custom signals via SDKs/APIs (including OpenTelemetry) into a single, queryable system of record.
Monitor prompts, responses, tool calls, latency, token cost, and quality signals—end-to-end from experimentation to production.
Run offline and online evaluations, track regressions, and set guardrails for safety, accuracy, and policy compliance.
Detect spikes, drops, drifts, abuse, and security signals in real time with adaptive baselines and domain-aware heuristics.
Move from "something broke" to "here's why" using automated investigations, dependency signals, and causal paths across systems.
Build custom workflows for enrichment, joins, feature extraction, routing, and downstream actions—without brittle glue code.
Reduce noise with intelligent alerts, routing, and escalation—then track acknowledgement, ownership, and resolution.
Build executive-ready views for reliability, fraud, and product health—plus drill-downs for engineers and analysts.
Ask questions in plain English, generate queries, and summarize incidents—so anyone can investigate without learning a new tool.
AnoSys is an industry-agnostic observability platform: bring your telemetry, business signals, and AI traces—then apply domain-specific playbooks to detect risk, prevent incidents, and explain root cause.
Track tool calls, multi-step decisions, latency/cost, and failure cascades. Detect loops, runaway spend, and action-policy violations.
Monitor prompt/response quality, drift, and safety signals in production. Run continuous evals, regression checks, and release guardrails.
Enforce policy guardrails and audit trails. Track safety metrics, moderation events, and compliance-ready reporting across teams.
Detect anomalies in traffic patterns, unusual access paths, and suspicious spikes with real-time alerting and guided investigations.
Detect click/impression fraud, bot traffic, and attribution anomalies. Combine real-time signals with historical baselines to protect spend.
High-signal detection and rapid investigation for critical systems. Prioritize reliability, auditability, and resilient operations.
Unify metrics, logs, and traces to reduce alert noise and speed up MTTR. Correlate incidents across services, dependencies, and deployments.
Monitor high-volume device signals, outages, and drift in real time. Catch failures early with anomaly detection and fleet health dashboards.
Anosys provides the only Universal Observability Platform that gives you one control plane for everything your systems or products emit. It unifies traces, metrics, logs, evaluations, lineage, UX, or customer acquisition information into a unified view so you can see what happened, why it happened, and what to do next. A causal root-cause graph and quality/integrity SLOs help you monitor, test, and tune while holding reliability and budget targets. Get a unique competitive advantage and maximize your ROI.
AnoSys brings universal observability to AI-first systems, correlating application, model, infrastructure, and user signals into a single source of truth for real-time insight, root-cause analysis, and automated alerting.
Read moreWe unify telemetry from diverse sources—LLMs, agentic AI systems, OpenTelemetry traces, sensor networks, advertising platforms, and cloud-native infrastructure—into a single pane of glass, enabling end-to-end tracing, evaluation, and monitoring.
Read moreWith built-in anomaly detection, auto-evaluation engines, root cause analysis, and performance analytics, AnoSys empowers teams to detect and root-cause failure patterns, reduce downtime, ensure compliance, improve quality and user experience, and continuously optimize complex automated workflows.
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