Products

IndustriaX Intelligence Platform

Let AI understand, invoke and reuse your expert knowledge

A self-developed industrial AI platform that turns scattered engineering knowledge and business processes into reliable, traceable, auditable agent workflows.

OVERVIEW

IndustriaX hosts enterprise knowledge bases, agent applications, business processes and intelligent workflow decisioning — deployable inside the customer network and able to run offline. Small-model-driven and loosely composable, it achieves industrial-grade reliability through structure rather than model scale.

CHALLENGES

Engineering knowledge is scattered across emails, documents, test reports, design manuals and individual expertise, and cannot become organizational capability. Information gaps between R&D, quality, process, procurement and production make problem localization, change-impact assessment and plan adjustment heavily dependent on manual experience — while data security and IP protection rule out generic cloud AI.

Tacit expertise is hard to capture, transfer and reuse
Cross-department gaps force manual problem-solving and change assessment
Data cannot leave the plant; generic cloud AI is a non-starter
HOW IT WORKS
01

Assetize expert knowledge

Parse engineering docs, test reports, 8D/FA, change records, specs and process files

02

Model business & engineering semantics

Build a reusable knowledge graph around products, parts, failure modes and change impact

03

Orchestrate intelligent workflows

Compose expertise, business rules, approvals and AI into executable, traceable workflows

04

Reliable, auditable output

Every key output keeps source citations, process logs and version history for review

Core capabilities

Knowledge assetization

Parse, extract, organize and retrieve unstructured and semi-structured industrial materials.

Workflow orchestration

Serves FA analysis, ECN/PCN impact assessment, test validation, master planning and report generation.

Private & offline-capable

Runs inside the customer network — sensitive data never leaves the plant, fitting existing IT.

VALUE

On-premise

Data stays in the plant; core knowledge stays on-prem

Traceable

Source citations · process logs · version history

Reusable

Each delivery sediments into reusable components

Who it serves
R&D / process engineersQuality & failure-analysis teamsProduction planning & supply chainEnterprise IT & digitalization leads