DenkWare · What & why

What DenkWare is.
And why it works.

AI that lets people use machines and materials better than ever — grounded in physics, used by the people on the floor, and judged on measurable results.

What we believe & what we do

Three convictions, two systems

Everything we build follows from three beliefs about AI in manufacturing — and resolves into two named systems: MGSD, the AI that creates, and DenkWare, the software and hardware it produces.

Conviction 01

Starts with physics

Real manufacturing intelligence is grounded in the physics of the process — equations and material behaviour — not in correlations mined from data alone.

So: MGSD researches each process and derives its equations before any code.
Conviction 02

Used by people

AI in the factory is for operators and specialists to use — not a black box that replaces them. It guides, explains, and supports the people doing the work.

So: DenkFree delivers step-by-step guidance to operators on a mobile phone.
Conviction 03

Measurable results

It only counts if it moves the numbers — cut quality, output, energy, OEE. Value has to be visible on the machine, not just in a model.

So: every DenkWare deployment is judged on empirical, per-machine gains.
The unit of manufacturing

Manufacturing happens in Process Units — not in machines

A machine alone makes nothing. Output comes from a Machine Process Unit (MPU): the machine plus the people, tools, material and consumables around it. DenkWare organises and optimises the whole unit.

Machine

Machine

Core of the MPU — determines capability and capacity.

Specialist

Specialist

Trained and experienced; high impact on results; owns change management and troubleshooting.

Operator

Operator

Trained; follows the instructions; makes no decision.

Material

Material

Major cost driver. Tight specifications are crucial but expensive.

Tool

Tool

Often a key contributor to the process result.

Consumables

Consumables

No major cost driver, but quality and availability matter.

Machine+ People+ Material+ Tools= MPU
The product

DenkWare = DenkOS + DenkFree + DenkDrivers

DenkOS is the operating layer. DenkFree is the free-to-start software that organises every MPU and guides operators. DenkDrivers add the hardware and physics-based AI that connect — or replace — the machine’s control system.

Always included

DenkOS

Software · operating layer
  • Basic operating platform
  • Other DenkWare connects via plug-ins
  • Organises communication between plug-ins and data management
  • Customer-specific data communication (e.g. Catena-X)
  • AAS compatible throughout
Free

DenkFree

Software · for every MPU
  • Define & organise each Machine Process Unit — machine, tools, materials, operator, data
  • Step-by-step instructions delivered to operators via mobile phone
  • Built-in compliance — laws, regulations, quality standards
  • Skill & training management for every MPU, every time
Free in a basic version — deep support and high data storage chargeable.
Hardware + AI

DenkDrivers

Hardware + AI · machine control
  • Machine connection from sensor + mobile to full control-system replacement
  • Physics-based AI models for settings & in-process control algorithms
  • Stand-alone operation possible — no dependency on the cloud
Non-recurring charge €800–€150,000; monthly charges €190–€5,000.

DenkFree 1.0 launches May 2026. DenkDrivers rollout: Sheet Metal 2026 → Injection Molding 2027 → CNC 2028.

The engine

Using AI makes us incredibly fast, accurate — and economical

MGSD (Model Guided Scaffolding) turns a plain-language description of a manufacturing process into a fully integrated, physics-grounded app and a control system for the machine. One prompt, roughly 30 minutes to deploy.

Input

Input prompt

A user prompt describes the process — e.g. “generate laser cutting”.

MGSD Physics Engine

Physics engine

Researches the process and derives SymPy equations · ML surrogate · 11-step build gate.

MGSD Controller Engine

Plugin + control output

Real-time signals wired to edge tiers · OPC UA / FMI 3.0 · IDTA AAS · plugin (FLC-APP) to the machine control system.

1 · One prompt 2 · Physics + code + ML surrogate 3 · Controller wired to signals ~30 min to deploy
laser cutting · FLCsheet-metal-bending · SMBfriction-stir-welding · FSW laser-welding · LBWpolymer matrix composites · PMC
Measurable results

DenkWare makes old machines better than brand-new ones

Example: a Join-tier laser cutter with DenkFree. Gains are shown against the operator’s own calibrated baseline — empirical, from validated cuts.

90.4%
First attempt

Cut-quality prediction accuracy across 556 real-world test cuts (Join · first try).

97%+
With DenkFree + Path 3

Cut-quality prediction accuracy to ISO 9013 — launching now.

15–25 pp
OEE uplift

After six months — availability × productivity × quality.

+10%Output (Path 3)
−20%Energy & CO₂ (Path 3)

Gains shown per profile (Max Output vs Energy Saver) against the operator’s calibrated baseline sample.

Integration depth

DenkDrivers integrate machines and AI at three levels

The same DenkFree software sits above every machine. DenkDrivers decide how deep the hardware goes — from clip-on sensors to a full replacement control system — domain by domain.

Join01

Clip-on sensors

Sensors attached to the outside of the machine, connected to DenkFree via Bluetooth and a mobile phone. Lowest friction, fastest start.

Sensors · Bluetooth · Mobile
Connect02

Edge device + hard wire

Sensors and an edge device integrated into the machine, hard-wired between the existing control system and DenkFree. High value for a simple retrofit.

Edge device · Retrofit
Unite03

Full control replacement

A new control system for the machine, fully integrated into DenkFree — includes DenkOff, a local client that runs without a cloud connection. Autonomous operation.

New control · DenkOff · Offline

DenkDevice, DenkControl System and DenkOff software extend across domains: Composite Materials, Injection Molding Machines and CNC Machining Centres follow the laser cutter.

The problem

DenkWare closes the manufacturing intelligence gap

571,000 EU metal-fabrication shops run on tribal knowledge, paper lists and trial-and-error. The reasons behind marginal progress in manufacturing are remarkably consistent.

80%

Human-caused defects

70%

Undocumented knowledge

65%

OEE gap (62% vs 85%)

63%

SMEs can’t find skills

87%

No AI adoption in SMEs

5–30%

of manufacturing costs lost to scrap & rework

· NIST 2024
90–120

days to train a new operator to competency

· manual.to 2026
50–75%

of machine time spent on setup for short runs

· industry benchmark
Timing

Why now?

Four structural forces converge on the same answer: European manufacturing needs AI-powered intelligence — now.

Labor crisis

2.5M unfilled EU jobs · 10.2M replacements needed by 2030 · 7.3% vacancy rate.

China pressure

#1 machine-tool exporter · €8.6B exports (+13% YoY) · €304.5B EU trade deficit.

Energy squeeze

EU electricity €0.199/kWh — 2.4× China, 2.7× US. A structural cost disadvantage that efficiency must offset.

Scaling up EDTIB

Huge scaling of the European Defense Technological & Industrial Base (EDIS, EDIB, Readiness 2030). German defense spending tripling in three years to €180bn/a. FluxionSystem is a member of BDSV.

These four forces demand AI-powered manufacturing intelligence — now.

Why us

130+ years in manufacturing, AI, aerospace & enterprise software

A management team with deep operating and scientific experience, an advisory board with reach into defense, policy and global marketing, and a place inside Europe’s manufacturing-AI community.

Management board

AK

Albert Klein

CEO / CFO

30+ yrs manufacturing executive experience. Former CFO, FIT Additive Manufacturing Group.

MB

Mustafa Bahtiyar

CTO

20 yrs aerospace design experience. Former Head of Aerostructures, Lilium.

HY

Dr. Hakan Yavas

CSO

40+ international patents & scientific publications. Former Head of Research & Technology Center, TAI.

MW

Martin Wassmann

CIO

30+ yrs in software projects. Former Director of Ops, Netfabb / Autodesk.

YS

Yurii Sukhonos

CMO

10+ yrs in international trade. Former Chief Economist, National Bank of Ukraine.

Advisory board

WW

Prof. Wolfgang Wahlster

Advisor

Founder DFKI · co-originator of “Industry 4.0” (2010).

SF

Ambassador Stefan Füle

Advisor

EU Commissioner for Enlargement (2010–2014) · co-founder, U&C UAS s.r.o.

JH

Jacques Henry-Bezy

Advisor

Managing Director, Bespoke & Beyond · 16 years at Pernod Ricard (Jameson) · international brand & marketing.

BDSV · BerlinEuroHPC · BrusselsIDTA · Frankfurt SmartFactory KLMESA InternationalDFKIFAU Kunststofftechnik
Proposed measures

ERP integration — staged, by investment level

Start at your existing technology level and scale with minimum investment, staying open to higher-level technology later. DenkFree and DenkDrivers manage the MPUs; ERP modules are connected stage by stage.

1
Stage 1 · base

Foundation

DenkFree and DenkDrivers connect to the Product Lifecycle Management (PLM) system via DenkOS plug-ins.

2
Stage 2 · material flow

Logistics in

Warehousing, Internal Logistics and Purchasing connect to the shopfloor and PLM — material movement and procurement driven from the same data.

3
Stage 3 · planning

Scheduling in

Production Planning sits on top of material management and the shopfloor — scheduling and capacity now run on live cell data.

4
Stage 4 · final

Full ERP

Production Planning connected to order handling, CRM, HR, accounting and system integration — a fully integrated enterprise around the DenkWare shopfloor.

Secure deployment

IT setup — sovereign, behind the firewall

DenkWare can be deployed as a cloud app or on a local server, with deployment options to match your security needs.

Cloud app

All DenkWare cloud applications are deployed on EU-based servers — no cloud services from non-EU suppliers used.

Local server

On a local server, DenkWare deploys in three configurations — from a stand-alone server behind a single firewall to multi-site setups.

Decentralised satellites

Multi-site deployments can include decentralised manufacturing satellites, keeping data and control within your perimeter.

Get started

AI that lets people use machines and materials better than ever.

Not only to predict. To understand. Start free, on a single machine, from any mobile phone.

97%+cut-quality accuracy in laser cutting
~30 minto deploy a new process
15–25 ppOEE uplift after six months
130+combined years of expertise