Product

Z-brain — Industrial AI Platform

AI assistant for process engineers and an intelligence layer for manufacturing: cut manual work, accelerate routing, and prepare your enterprise for large-scale digitalization.

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Control Panel

Z-brain Dashboard

Equipment Utilization

87%

Time Saved

50%+

Routes per Day

124

Bottlenecks

3

AI Route SuggestionsReady

Challenges

Why traditional manufacturing stalls digitalization

Manual Work

Process engineers spend hours manually building routing sheets

Complex Systems

Tools like Technomatix and Teamcenter go largely unused due to steep learning curves

Talent Shortage

Limits the pace of digitalization at scale

Slow Planning

Product planning cycles take far too long

Our Approach

How Z-brain solves these problems

01

Management Pulse

Fast onboarding, meeting analysis, bottleneck detection

02

AI Translator

Automatic conversion to JSON for systems like Technomatix

03

What-if Modeling

Change scenarios and impact assessment

04

Engineer Review

Visualization and routing confirmation by the process engineer

05

Scale-out

Rollout across the enterprise platform

Features

Z-brain capabilities for industrial enterprises

Route Generation

Automatic routing generation based on Teamcenter data

What-if Scenarios

For equipment, shifts, and operation sequencing

Auto-validation

Model verification before deployment in systems like Technomatix

KPI Visualization

Equipment utilization, bottlenecks, and routing time

Scalability

Data architecture built for the entire enterprise

Pro Mode

Support for 2–3 standard route types simultaneously during the pilot

Interface

Platform in Action

Real screens from the Z-brain Industrial working interface

Natural language simulation — AI builds a production scenario from a plain-text description

01 — Simulation

Natural language simulation — AI builds a production scenario from a plain-text description

AI automatically generates process routes from Teamcenter data

02 — Route Generation

AI automatically generates process routes from Teamcenter data

Model changes to equipment, shifts, and operation sequences

03 — What-if Scenarios

Model changes to equipment, shifts, and operation sequences

Rapid meeting analysis and bottleneck detection for leadership

04 — Management Pulse

Rapid meeting analysis and bottleneck detection for leadership

Pilot Results

Visible impact in 6–8 weeks

Reduction in Manual Work

≥50%

Less time spent on routing

Automatic Generation

Minimal edits

Routes ready for review

Visual KPIs

6–8 weeks

Measurable results within the pilot

Scale Readiness

Enterprise

Expand to other workshops and routes

What's included in the pilot

Automatic route generation with minimal manual edits
What-if scenarios for evaluating changes
Visual KPIs and a leadership dashboard
Scale readiness for other workshops and routes

Architecture

How it works

01

Input Data

Teamcenter, product specifications, routing templates

02

Z-brain LLM

Template completion, JSON generation

03

Systems like Technomatix

Model building, bottleneck calculation

04

Engineer Review

Route confirmation

05

Dashboard

KPIs, what-if scenarios, visualization

Why Z-brain

Why Z-brain

Eliminates Manual Labor

Engineers stay focused on expert-level tasks

Fast Deployment

No disruption to existing systems

Measurable Impact

Pilot with built-in scale readiness

Pro Mode

What-if scenarios and KPI visualization

Launch your pilot today

Z-brain — AI assistant for process engineers and an industrial intelligence platform