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Anosys Universal Observability Platform

The Anosys Platform is a Universal Observability as a Service platform purpose-built for modern, data-intensive workflows. Whether you're running agentic AI systems, monitoring infrastructure, or tracking business KPIs — Anosys gives you a single pane of glass to observe, analyze, and root cause issues across your entire stack.


How It Works

Data flows into Anosys from any source — AI frameworks, backend services, IoT devices, or web applications — and is processed in real time into actionable insights.

%%{init: {"flowchart": {"curve": "linear"}}}%%
graph LR
    A1(AI Workflows) -->B1[/Logs, Traces, Metrics, Custom Fields/]
    A2(Infra    ) -->B1
    A3(IoT) -->B1
    A4(App) -->B1
    A5(WWW) -->B1
    B1 -->B2[[Anosys Observability Platform]]
    B2 -->E[Custom Pipelines]
    B2 -->F2[Custom Dashboards]
    B2 -->F[Evals]
    B2 -->G[Root Cause Analysis]
    B2 -->J[KPIs]
    B2 -->I[Alerts]
    B2 -->K[Insights Engine]
    K -->D[Reports & Insights]
    E -->D
    G -->D
    J -->D
    F2 -->D
    F -->D


    %% --- Styling examples ---
    style B1 stroke:#1e88e5,color:#fff
    style B2 stroke:#c62828,color:#000
    style D stroke:#388e3c,color:#000

Agentic AI Observability

AI agents are non-deterministic, multi-step, and expensive. A single coding session or agent run can consume thousands of tokens with no visibility into what went right — or wrong. Anosys gives you full-stack observability for agentic workflows out of the box.

What You Get Why It Matters
End-to-end traces See every reasoning step, tool call, and model invocation in a single timeline
Token usage metrics Track input/output tokens per session, per model, and over time
Latency breakdowns Identify slow calls and bottlenecks across your agent's execution
Error classification Structured logs with automatic error grouping and alerting
Cost attribution Per-session and per-project cost estimates based on real usage

Supported Frameworks

Anosys integrates with the leading AI agent frameworks:

  • OpenAI Agents — Auto-instrument the OpenAI Python SDK with a few lines of code. Captures model parameters, tool calls, streaming events, and per-request cost breakdowns.
  • OpenAI ChatKit Apps — Monitor ChatKit-powered chat widgets with a single React hook. Captures every conversation turn, time-to-first-token, and user actions.
  • Claude Code & Anthropic Agents — Zero-code setup via OpenTelemetry. Configure ~/.claude/settings.json and traces flow automatically — no SDK required.
  • Any LLM Provider — Integrate Google Gemini, Meta Llama, Mistral, Cohere, AWS Bedrock, and any other provider via OpenTelemetry or the REST API.

Beyond AI — Universal Observability

Anosys is not limited to AI workflows. The platform supports any data source that produces logs, metrics, or traces:

  • Infrastructure — Monitor servers, containers, and network devices via OpenTelemetry or custom API calls.
  • Web & Mobile — Track user behavior and application performance with lightweight JavaScript pixels or image beacons.
  • IoT — Collect sensor data and device telemetry through HTTP GET/POST endpoints.
  • Custom Workflows — Use Python decorators, REST APIs, or OTLP exporters to instrument anything.

See Data Ingestion Options for the full list of integration methods, or explore the Use Cases page for practical examples including website monitoring, IoT, and custom business KPIs.


Key Capabilities

Custom Dashboards & Visualization

Build real-time dashboards for any ingested metric or field. Time-series charts, histograms, tables, and more — all fully customizable.

Anomaly Detection

Statistical and ML-based anomaly detection for latency, model drift, user behavior, and business KPIs. Define custom thresholds or let the platform learn patterns automatically.

Alerting

Get notified in Slack or via email when metrics cross thresholds or anomalies are detected. Fine-tune alert sensitivity to reduce noise.

Custom Pipelines

Build data processing pipelines that transform, enrich, and route your telemetry data. Schedule batch jobs or process events in real time.

Evals & Model Monitoring

Evaluate model performance over time. Track accuracy, calibration, and drift across deployments to catch regressions before they reach users.

Root Cause Analysis

When something breaks, drill down from high-level KPIs to individual traces to pinpoint the exact request, model call, or configuration change that caused the issue.


Getting Started

Get up and running in minutes:

  1. Sign up at console.anosys.ai and create your workspace.
  2. Create a pixel — choose your integration type (Agentic AI, OpenTelemetry, API, or Web).
  3. Send data — follow the guide for your integration:

  4. Explore insights — data appears in your Anosys dashboards within seconds.


Security & Compliance

Your data is encrypted with AES-256 in transit and at rest. Anosys supports SOC 2 compliance and role-based access control (RBAC) for multi-user environments. Choose your cloud region — U.S., EU, or APAC — powered by Google Cloud.


Questions?

Check the FAQ or reach out to support@anosys.ai.