Custom Integrations
for Complex Challenges
We don't just build software. We handle the entire hardware and software stack to connect your machines with AI.
Complete Integration Stack
From fieldbuses to cameras to ERP systems—we integrate with your existing infrastructure
Fieldbus Integration
RS-485, RS-422, USB, Profibus, EtherCAT, Modbus, CAN bus, and more. Your agent reads real-time sensor data and controls actuators.
Vision & Camera Systems
Integrate industrial cameras directly into your agent's reasoning. Vision language models analyze images for quality control, defect detection, and guidance.
ERP & Database Connectivity
Connect to SAP, Oracle, SQL Server, PostgreSQL, and more. Read production schedules, update maintenance logs, query inventory in real-time.
Custom Hardware Design
Need specialized hardware to bridge the gap between your machines and AI? Our engineering team designs custom circuit boards, enclosures, and interfaces tailored to your exact specifications.
Custom Hardware Examples
Real projects where we designed and manufactured custom hardware for industrial AI integration
Retrofit Interface Board
Challenge
1985 CNC milling machine with only RS-232 serial interface. Customer 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 protocol. 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 and dual Ethernet.
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 without replacing existing hardware.
Solution
Edge computing unit with Jetson Nano + custom adapter board for GigE Vision camera. On-device AI inference for real-time defect classification.
Technical Specs
Result
Automated defect detection • 15ms inference latency • €15k solution
Edge AI Controller
Challenge
Distributed machines across facility floor needed local AI inference without cloud dependency. Required integration with existing sensors and PLCs.
Solution
Industrial Raspberry Pi 4 with custom I/O HAT providing 8x digital inputs, 4x relay outputs, RS-485, and CAN bus connectivity. Runs local LLM.
Technical Specs
Result
Offline AI inference • <100ms response time • €6k per unit (qty 20)
Our Integration Process
From concept to production in 8-16 weeks
Discovery
Technical consultation and requirements gathering
1 week
Design
Schematic design, component selection, and specification
2 weeks
Prototype
PCB fabrication, assembly, and initial testing
2-3 weeks
Production
Manufacturing, quality control, and certification
4-6 weeks
Support
Installation, training, and ongoing maintenance
Ongoing
Investment
Flexible engagement models for integration projects
Software integration only
- Fieldbus or ERP integration
- Up to 2 protocols/systems
- Agent deployment included
- 6-8 week timeline
Hardware + software
- Custom hardware design
- Hardware: €5k-50k per design
- Complete integration
- 12-16 week timeline
Note: All projects include discovery, documentation, training, and 90 days of support.
Ready to tackle your integration challenge?
Schedule a technical consultation and we'll design a custom solution for your specific needs.