ANOMX TECHNOLOGY

Connect complexity.
Compose intelligence.

One platform. Clearly defined responsibilities. Explore how data sources, workers, and models become one connected system.

Build the architecture

LAYER BY LAYER 01 / 06

Start with what exists.

Control systems, files, external compute, and data sources. Anomx is an intelligence layer above the infrastructure you already operate.

DOOCS · Filesystems · Databases · Compute
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Anomx platform architectureExternal systems connect through connectors to DAQ, compute and agent workers. PostgreSQL, TimescaleDB, MinIO and Redis store data. Django and Celery orchestrate via NATS and JetStream. A Next.js application connects people through HTTP and WebSockets.Files & storageDUST · Node FS · dCacheExternal computeMaxwell · Model hubsControls & dataDOOCS · Databases · StreamsConnectorsDAQ WorkersDOOCS · ZeroMQCompute WorkersCPU · GPUAgent RuntimeTools · Models · ContextMinIOS3 artifactsRedisCache · QueuesTimescaleDBTime seriesPostgreSQLSystem contextDjango APIObjects · Permissions · WorkflowsTask & Job WorkersCeleryNATS + JetStreamHTTP / WebSocketsAnomx App · Next.jsSystems · Data · Agents · Findings
Data & controlCommands & eventsSimplified reference architecture

CLEAR RESPONSIBILITIES. ONE SYSTEM.

Work independently.
Understand together.

  1. 01Acquire deliberately.
  2. 02Decouple compute.
  3. 03Keep context inspectable.

DAQ workers subscribe to selected streams or read through RPC. Channel bindings, sampling rates and batching make acquisition configurable.

CPU and GPU workers execute analysis jobs. New resources extend the worker layer; specialized hardware such as TPUs remains an extension path.

Objects, job runs, findings and artifacts make results reviewable. Agents work within their tool permissions, scope and budgets.

This diagram condenses the current architecture. External systems and hardware are integration examples; availability depends on the installation.

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THE NEXT ERA

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