Services for
Complex Challenges
When off-the-shelf solutions aren't enough, our engineering team designs custom hardware, integrates legacy systems, and provides expert consulting.
What We Offer
Full-stack engineering services from hardware design to AI strategy
Custom Hardware Design
PCB design, industrial enclosures, protocol converters, and edge computing solutions tailored to your specifications.
- • Retrofit interface boards
- • Protocol gateways
- • Vision processing units
- • Edge AI controllers
System Integration
Connect AI agents to fieldbuses, cameras, ERP systems, and legacy machinery. We handle the full integration stack.
- • Fieldbus protocols (RS-485, EtherCAT, Modbus, CAN)
- • Vision & camera systems
- • ERP/database connectivity
- • Legacy system retrofits
Consulting & Training
Strategic guidance and hands-on training to build internal AI capabilities within your organization.
- • AI strategy workshops
- • System architecture design
- • On-site operator training
- • Security audits
Hardware Engineering Examples
Real projects where we designed and manufactured custom hardware for industrial AI
Retrofit Interface Board
Challenge
1985 CNC milling machine with only RS-232 serial interface needed real-time data integration with EtherCAT network.
Solution
Custom PCB with STM32 microcontroller, RS-232 to EtherCAT protocol translation, and 8x digital I/O for additional sensors.
Technical Specs
Result
Real-time machine data to cloud • 3-week delivery • €8k hardware cost
Industrial Protocol Gateway
Challenge
Injection molding machine with proprietary fieldbus. ERP system needed production data but couldn't communicate directly.
Solution
Reverse-engineered proprietary protocol, built Modbus TCP bridge using Raspberry Pi CM4 with custom carrier board.
Technical Specs
Result
Machine integrated with ERP • <50ms latency • €12k project cost
Vision Processing Unit
Challenge
Legacy quality control camera from 2010 needed AI integration for automated defect detection.
Solution
Edge computing unit with Jetson Nano + custom adapter board for GigE Vision camera with on-device AI inference.
Technical Specs
Result
Automated defect detection • 15ms inference • €15k solution
Edge AI Controller
Challenge
Distributed machines needed local AI inference without cloud dependency. Required sensor and PLC integration.
Solution
Industrial Raspberry Pi 4 with custom I/O HAT providing 8x digital inputs, 4x relay outputs, RS-485, and CAN bus.
Technical Specs
Result
Offline AI inference • <100ms response • €6k per unit (qty 20)
Our Process
From concept to production in 8-16 weeks
Discovery
Technical consultation and requirements
1 week
Design
Schematic design and component selection
2 weeks
Prototype
PCB fabrication and testing
2-3 weeks
Production
Manufacturing and quality control
4-6 weeks
Support
Installation and training
Ongoing
Let's discuss your project
Schedule a technical consultation to explore how we can solve your integration challenges.