Where our solutions deliver value

Manual steps cause delays.

Example: Invoices are captured and booked automatically.

Routine tasks tie up staff and slow down approvals.

n8n workflows orchestrate emails, APIs and databases end-to-end.

Saves up to 10 hours per week and cuts error sources.

Emails remain unanswered.

Example: Generate tickets from customer requests.

Emails pile up and requests get lost.

A language model reads inboxes, classifies content and replies to routine inquiries.

Customers receive responses in minutes instead of days.

Failures are detected only after downtime.

Example: Use vibration data to estimate remaining life.

Downtime is detected only after a breakdown.

Sensors collect vibration and temperature data for failure prediction.

Avoids costly downtime and extends maintenance intervals.

Defective parts pass the line.

Example: Camera detects scratches on metal.

Defective parts slip through manual inspection.

Cameras and ML models inspect each component inline.

Greatly reduces scrap and rework.

Data lives in isolated systems.

Example: Combine MQTT and REST sources in one DB.

Machine and sensor data is scattered across many systems.

Gateways gather MQTT, REST and Modbus streams in one database.

All KPIs become centrally available without data silos.

Models are hard to deploy.

Example: Update Docker containers over the air.

Models are difficult to update on edge devices.

Containerized deployments get OTA updates and monitoring.

Minimizes maintenance effort and downtime.

Visual inspection takes time.

Example: OCR reads serial numbers automatically.

Visual inspections are time-consuming and error-prone.

OCR and object detection capture serial numbers and features automatically.

Speeds up processes and improves accuracy.

KPIs lack transparency.

Example: Dashboard with live alerts.

KPIs are scattered and outdated.

Dashboards consolidate data sources and alert on deviations.

Management makes decisions based on up-to-date numbers.