The Platform for System Intelligence

Understand your system before it fails. Anomx detects abnormal behavior across live data streams, explains what changed, and helps teams act before small deviations become critical.

One Layer above Every Stream, Model, and Machine.From Signal to Action.

Connect Any Source.

Bring together live streams, historical records, files, control systems, databases, and custom pipelines.

Detect What Changed.

Find abnormal behavior across high-dimensional time-series before it becomes obvious on a dashboard.

Explain the Signal.

Surface the channels, context, and recent changes that matter most to the event.

Predict What May Happen Next.

Use models and historical behavior to understand possible outcomes, not just current state.

Guide the Next Step.

Turn findings into operator review, AI-assisted workflows, tickets, reports, or follow-up jobs.

Keep Humans in Control.

Let experts confirm, annotate, and refine findings so the system improves with operational knowledge.

Built for Systems too Complex for Static Dashboards.

Real-Time by Design

Analyze live operational streams as they change, not hours after the event.

Data-Agnostic

Work across heterogeneous sources without forcing every team into one rigid data model.

High-Dimensional Awareness

Detect patterns that emerge across many channels, not only single-metric threshold breaks.

Explainable Findings

Move from "something is wrong" to "this changed, here is why it matters."

Enterprise-Ready Foundation

Organizations, users, integrations, jobs, files, notifications, audit logs, and system objects are part of the platform model.

Made for Operators

Built around findings, feedback, system monitoring, and action, not just charts.

System IntelligenceAcross your entire operation.

Detect Abnormal Behavior Automatically.

Replace fragile threshold rules with adaptive anomaly detection across live and historical signals.

Understand What Changed.

See which sources, channels, jobs, or conditions contributed to a finding.

Create Repeatable Workflows.

Trigger analysis, review, notification, and reporting workflows from the same finding.

Train and Run Models Close to the Data.

Use compute workers for ML, AI, and algorithmic jobs without separating detection from operations.

Keep an Operational Memory.

Store findings, feedback, runs, artifacts, and context so every investigation makes the system smarter.

Deploy Around Your Systems.

Connect to existing infrastructure through modular connectors and workers.

One intelligence layer.Every operational signal.

  • Ingest

    Connect live streams, databases, files, APIs, and control systems.

  • Detect

    Run anomaly detection jobs across high-dimensional time-series.

  • Explain

    Translate raw deviations into understandable findings.

  • Act

    Route findings into human review, AI workflows, and operational decisions.

Developed from environments where late detection is not acceptable.

Built from Operational Pain

Complex organizations generate more data than teams can interpret. Critical signals get buried in noise.

Designed for Technical Depth

From control systems and data acquisition to compute jobs and model artifacts, Anomx is built around real infrastructure.

Starting Focused

Early access is intended for enterprises and research facilities with high-value systems and serious anomaly detection needs.

For teams where abnormal matters.Across machines, streams, and operations.

Research Facilities

Detect abnormal behavior across accelerators, beamlines, detectors, experiments, and supporting infrastructure.

Industrial Operations

Find deviations across production lines, equipment, energy usage, process signals, and quality data.

Energy and Infrastructure

Monitor distributed assets, detect operational drift, and understand system-wide changes before failures cascade.

Data-Intensive Enterprises

Move beyond static dashboards for live, heterogeneous data environments with complex dependencies.

The Dashboard Era is not Enough.

More Data

Modern systems produce continuous operational streams across machines, software, sensors, and teams.

More Complexity

Static thresholds and dashboards struggle when normal behavior depends on context.

More Pressure

Teams need earlier signals, clearer explanations, and faster paths from detection to action.

See what Your System is Trying to Tell You.