We don’t do every Industry. We do yours.

Generic AI doesn’t work in a sawmill. It doesn’t understand OPC-UA protocols in a packaging plant. And it can’t manage a grid that’s getting more decentralized every quarter. That’s why we chose three industries and went deep, learning the machines, the regulations, and the operational realities of each.

Our five disciplines - Engineering, AI Agents, Integration, Automation, and Innovation are the tools. These three industries are where we apply them.

Close-up of laser cutting machine cutting intricate patterns on metal sheet with sparks flying.

Three Industries. Deep expertise.

Manufacturing

Multi-axis CNC router engraving a circular pattern into a wooden board with dust extraction brush active.

Challange

Your plant generates more data every shift than your team can analyze in a month. CNC machines log thousands of data points. SCADA systems capture temperatures, pressures, and cycle times. But most of this data sits in local servers, disconnected from your ERP and invisible to management. The result: decisions made on gut feel, reactive maintenance that shuts down production at the worst possible time, and material yields that plateau no matter how many lean initiatives you run.

Meanwhile, skilled operators are retiring faster than you can replace them — and their decades of knowledge about how Machine 7 behaves on humid days goes with them.

Who we serve

Sub-sectors

Wood Construction & CLT
Furniture Manufacturing
Sawmill & Timber Processing
Pulp & Paper
General Discrete Manufacturing
Biomass & Bioenergy

Company profile

Mid-to-large manufacturers (€10M–€500M revenue)
50–500 employees
DACH-region
Often family-owned Mittelstand businesses with 2–8 person IT departments

Key buyers

CIO / IT-Leiter
Head of Operations / Betriebsleiter
Plant Manager
Supply Chain Director
CEO (in smaller firms)

Regulations

EU Machinery Regulation
ISO 9001/14001
FSC/PEFC (wood)
EUDR (EU Timber Regulation)
RAMI 4.0

What we build for Manufacturing

Every Build service below draws on our five disciplines (Engineering, AI Agents, Integration, Automation, Innovation) in different combinations.

Digitalizes production workflows, scheduling, and real-time performance monitoring. Replaces spreadsheet-based planning with a unified operational platform.

Bridges ERP to the shop floor. Real-time tracking of orders, materials, and quality — paperless operations that eliminate manual data re-entry.

Connects HOMAG, Siemens, Beckhoff, and legacy machines to a unified cloud analytics platform. The data foundation on which everything else is built.

Cutting optimization, yield maximization, batch-size-one sequencing. Leverages the HOMAG partnership to squeeze more value from every board.

AI on sensor data (vibration, temperature, power draw) to catch equipment failures 24–48 hours before they halt production.

AI-assisted quoting for custom orders. Faster, more accurate quotes that account for real material costs, machine time, and complexity.

Automated quality documentation. Generates test reports from production data without manual entry, ensuring compliance and traceability.

Case studies

(00)

Outcome metrics

Up to
15%

Waste reduction via automated material allocation (HOMAG)

2

Live products co-developed with HOMAG& WEINMANN

4

Weeks to first actionable insight

50%

Discovery fee credited to Build

Packaging

Automated factory with robotic arms assembling and sorting items on conveyor belts under bright lights.

Challange

The EU Packaging and Packaging Waste Regulation is no longer a distant proposal — it’s a compliance reality approaching fast. Your operations team is expected to track recyclability scores across hundreds of SKUs, prove recycled content percentages to auditors, and generate LUCID reports for the German market — all while running production lines at maximum speed with shrinking margins.

Meanwhile, your quality team catches defects by eye at line speeds where human inspection misses more than it catches. Your supply chain data lives in a different system from your production data. And every brand owner you serve wants real-time traceability you can’t yet deliver.

Who we serve

Sub-sectors

Flexible Packaging
Rigid Packaging (Plastics, Glass, Metal)
Corrugated & Folding Carton
Smart & Active Packaging
E-commerce Packaging
Sustainable & Circular Packaging

Company profile

Packaging converters & manufacturers
Brand owners with packaging operations
FMCG supply chain managers
Sustainability officers
DACH-region packaging SMEs

Key buyers

CIO / IT Manager
Head of Operations / Production Manager
Sustainability
Compliance Officer
Supply Chain Director

Regulations

EU PPWR
German VerpackG & LUCID
EU Single-Use Plastics Directive
FSC/compostability certifications
REACH
GS1 standards
Digital Product Passport

What we build for Packaging

Every Build service below draws on our five disciplines (Engineering, AI Agents, Integration, Automation, Innovation) in different combinations

Automated PPWR/VerpackG compliance, LUCID reporting, and recyclability assessment. Turns a quarterly fire drill into a continuous, auditable process. Compliance-as-a-Service.

IoT sensors + predictive maintenance + machine vision on printing, cutting, and sealing lines. Pushes OEE beyond what manual monitoring can reach.

RFID/QR traceability, supply chain visibility, and sustainability claim validation. Proves recycled content percentages to auditors automatically.

Virtual line replicas for scenario modeling. Simulate changeovers, capacity changes, and new material runs before touching the physical line.

Computer vision for automated defect detection at line speed. Catches print misalignment, seal defects, and label errors that human eyes miss.

NFC/QR code integration with consumer engagement platforms. Turns packaging into a digital touchpoint for brand loyalty and market intelligence.

Outcome metrics

Up to
15%

Material cost savings

Less than
1%

Error rate AI quality inspection

5

Weeks Prototyping to POC on your line

100%

PPWR audit readiness

Energy

Wind turbines in a field under a colorful sunset sky with scattered clouds and trees below.

Challange

Your grid was built for one-directional power flow from centralized plants. Now it’s managing thousands of distributed solar installations, battery systems, EV chargers, and heat pumps — all feeding power back in unpredictable patterns. The infrastructure is aging. Transformers installed 30 years ago are running beyond design life. And the NIS2 Directive means your cybersecurity posture is now under regulatory scrutiny.

Meanwhile, the experienced engineers who know every substation by name are retiring. The workforce replacing them needs digital tools that surface the right information at the right time — not another SCADA screen with 200 alarms.

Who we serve

Sub-sectors

Renewable Energy (Wind, Solar, Hydro)
Electric Power Generation & Utilities
Grid Operations & Distribution
Energy Storage & Battery Systems
District Heating & Cooling
EV Infrastructure

Company profile

Utility operators & grid companies
Renewable energy developers
Energy trading desks
District energy providers
Municipal utilities in DACH
Energy equipment OEMs

Key buyers

Head of Operations / Technical Manager
Grid Operations Manager
Asset Management Director
CIO/CTO of Utility
Chief Reliability Officer

Regulations

EU Green Deal & Fit for 55
German Energiewende
EU Energy Efficiency Directive
NIS2 Directive (cybersecurity)
REMIT
ISO 50001

What we build for Energy

Every Build service below draws on our five disciplines (Engineering, AI Agents, Integration, Automation, Innovation) in different combinations

AI for wind turbines, transformers, cables, and switchgear. IoT sensors + SCADA integration + ML models that predict failures before they cause outages. Reduces maintenance costs 15–30% and extends asset life 10–20%.

AI platforms to aggregate and manage distributed energy resources (solar, batteries, EVs, heat pumps) as a coordinated VPP. Optimal dispatch, grid balancing, and new revenue streams from ancillary services.

Load forecasting, renewable generation forecasting, anomaly detection, and automated grid optimization. Turns reactive grid management into proactive, AI-assisted operations.

Case studies

(00)

Outcome metrics

Up to
30%

Maintenance cost reduction

€140M

Ro-HydroHub EU project(Cadran as SME partner)

Cybersecurity compliance built in

10

FTE allocated to hydrogen digital infrastructure

Every Industry engagement starts the same way

Regardless of your industry, we begin with a 4-week Discovery Assessment. Our engineers come to your facility, map your data landscape, evaluate your systems, and identify the highest-impact opportunities specific to your operation.

01

What you invest

€15–25k fixed fee
4 weeks
No long-term commitment
02

What you get

Data Health Scorecard
Value/Complexity Matrix
Prioritized AI opportunity roadmap
Clear go/no-go recommendations
03

What happens next

50% of the Discovery fee credited toward any Build...
You decide with evidence, not a slide deck.

Your Industry Is our expertise

We chose Manufacturing, Packaging, and Energy because we believe deep domain knowledge is what separates AI that works from AI that demos well. If your operation is in one of these industries, we’d like to show you what’s possible.