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Structure

Foundry itself provides four things: the pipeline engine, orchestration, the audit trail, and compute. The stages that run inside a pipeline can come from anywhere.

Data inAPI · Edge-to-Cloud · Web
Foundrypipeline · orchestration · audit trail · compute
Müller-BBM VAS methodthe catalog
Your methodyour systems
External AIprovider systems
Engineer reviewdecision recorded
any stage is one of these four types
Outputexport · report · API

What Foundry provides

  • Pipeline engine — pipelines are stored definitions: named, versioned sequences of stages with explicit parameters.
  • Orchestration — runs the stages in order, captures each stage's output, handles calls to stages that execute elsewhere.
  • Audit trail — records every call, every parameter set, every version, per pipeline run.
  • Compute — assigned per workload; one measurement or ten thousand, same method definition.

What plugs in

Every stage is one of four types. All four are recorded in the same audit trail:

  1. Müller-BBM VAS methods — the catalog, running inside Foundry.
  2. Your methods — running on your systems, under your QA.
  3. External AI services — running on the provider's systems.
  4. Engineer review — the review outcome is recorded; the judgment stays with the engineer.

Data in

Measurement data enters via API Upload, Edge-to-Cloud, or Web Upload. PAK live-acquired data uses these same paths — PAK live is a transfer protocol, not a separate entry point.

Where Foundry ends

Foundry doesFoundry doesn't
Runs the cloud-side pipelineThe edge side — that's Edge-to-Cloud
Provides the Müller-BBM VAS method catalogYour methods stay on your systems, under your control
Calls external AI services and records the callsThe AI services run on the provider's side, under theirs
Runs the engineer-review step and records the outcomeThe engineering judgment — that stays with the engineer