Machines that reason, for the unplanned downtime.

Novigens develops Brain, software that gives equipment the ability to explain its own alarms, deviations and process/test results from the observables and design artifacts that already exist, even when your FMEA has missed it.

  • Local and offlineAn edge computer next to the machine, with no internet connection. Nothing leaves the site.
  • Read-onlyBrain does not write to the PLC or change the machine logic.
  • Built from what already existsDesign artifacts (code, DFM, FMEA) and observables (logs, telemetry, sensor readings).
  • Starts from one machine classA representative sample of its design artifacts under NDA to begin; the full model is derived on site.

Unplanned downtime

Machine expertise is scarce, and the usual fix asks for more of it.

An unplanned stop is explained by an engineer who knows the machine, and those engineers are scarce and burning out. The usual fix, agentic AI and observability tools, requires the same engineers to author the machine's ontology and procedures first, and when the next design iteration ships, everything they wrote goes down the drain.

requires enables enables 1Factories want ↑ efficiency & ↓ unplanned downtime→ machines that explain themselves 2Engineers who can explain them→ scarce & fast retiring 3Agentic-AI + Observability fix?hand-builtauto-derivedmachine ontology /SOPsknowledge supports Novigens Brainobservablesrecommendsontology today's loopenabled by Novigens Brain
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Factories want higher efficiency and less unplanned downtime.

That calls for machines that can explain themselves when the input tray jams or the bond head drifts.

Use cases

Novigens Brain.

Software on an edge computer next to the machine. In production on semiconductor backend equipment (test handlers, probers, die attach, wire bonders); applies to SMT lines. Explore Brain.

Engineer validating automated equipment at a workstationCASE 01

Equipment re-qualification

After a firmware or parameter change.

Explore case
Production team investigating an equipment alarmCASE 02

Production monitoring

When an alarm stops the line.

Explore case
Gripper and component test equipment for experimental validationCASE 03

DOE validation

When the test data sits in files.

Explore case

Let’s talk.

The program starts with one machine class and a representative sample of its design artifacts under NDA. Brain then derives the full model on the floor.

Design partner program