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AMPHOZE
DemonstrationIndustrial manufacturing

Intelligent Operations Platform

A reference architecture for unifying plant telemetry, work orders and quality records behind one operational data model, with model-assisted triage layered on top.

Industry
Industrial manufacturing
Scenario
Illustrative — industrial manufacturer
Status
In-house demonstration

This is an illustrative example of the kind of work we do, not a client engagement. The scenario is written to make the engineering decisions legible; the outcomes below describe what the system was designed to do, not verified client metrics.

Challenge

The constraint we designed against.

Operational reality is usually spread across a historian, an ERP, a maintenance system and a decade of spreadsheets. Each answers a different question in a different vocabulary, so a supervisor reconstructs the state of the plant by hand every morning. Any analytics layer built directly on those sources inherits four incompatible definitions of an asset, a shift and a defect, and the first disagreement about a number ends the project.

Solution

What we built, and why it is shaped this way.

The work starts with a canonical operational model — asset, run, event, disposition — and an ingestion layer that maps each source system into it, keeping the raw payload for audit. Streams land in an append-only event store; derived state is rebuilt from it rather than mutated in place, so a mapping bug is a replay rather than a data-loss incident. On top sits a triage service that clusters events, attaches the relevant history, and proposes a disposition with its evidence. A supervisor confirms or overrides, and every override is retained as labelled training and evaluation data.

Technology

The stack behind it.

  • TypeScript
  • Fastify
  • Postgres
  • TimescaleDB
  • Kafka
  • OPC UA
  • React
  • Kubernetes

Outcome

What the build achieves.

Illustrative outcomes from the demonstration environment. They describe the behaviour the design targets — they are not measured client results.

Operational vocabulary
One canonical model across four source systems

Engineering outcome of the design. Illustrative reference architecture, not a measured client result.

Auditability
Every derived figure traceable to a raw source event

Property of the append-only event store.

Model governance
Human confirmation on every disposition, overrides retained as evaluation data

Design constraint, not a performance claim.

Triage latency
Sub-minute event to proposed disposition

Design target for the reference architecture; not measured in a client environment.

Demonstration figures — design intent, not client-verified

Related

Other demonstrations.

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