We automate industrial processes that cost your team time every day.
We find the points where production, data and existing systems cost unnecessary time — and automate exactly those workflows.
60 minutes · one concrete process · a clear next step
Five common pain points for industrial mid-market
ERP, MES, machine data and Excel are separated. Reports are clicked together manually.
Because nobody takes on the integration into existing systems.
The part that distinguishes your business often stays manual — and becomes the daily pain.
Stored in folders. An audit then turns into a search through scattered records.
But nobody states clearly who builds, who operates and who audits.
Six areas where we work with industrial companies
Production and ERP work with the same current data
No more manual re-entry and no Excel as intermediate storage: we connect shopfloor, MES and ERP and automate the data exchange — with Java/Spring/Kafka as backbone and OPC-UA as machine connector.
Quality issues surface earlier
Inspection runs along automatically instead of showing up during rework. We use computer vision for visual inspection, anomaly detection on sensor data and RAG for maintenance know-how.
Maintenance becomes more predictable
Anomalies arrive as an actionable signal in maintenance planning, not in a dashboard nobody opens. Technically: sensor streams via Kafka, models in Python, alerts into your maintenance process — including a model card for the EU AI Act.
Planning depends less on Excel and individual knowledge
Planning happens where everyone involved can see it, instead of in spreadsheets that grew over years. We build planning tools that fit your manufacturing reality — not your Excel macros.
Orders and approvals do not get stuck
Supplier onboarding, order confirmations and goods receipt keep moving automatically instead of waiting in inboxes — built with Camunda and document AI.
Plant data becomes usable instead of just collected
Data from your machines is consolidated, visualised and made simulatable — as web-based dashboards with real real-time integration, up to digital twin applications.
Four typical examples
Production bookings flow into ERP automatically
Starting point: production books into ERP by hand, and the numbers in the office are only current the next day. We build a Kafka pipeline with an OPC-UA reader on edge, a Spring service in the cloud and the REST integration to SAP, Microsoft Dynamics or ProAlpha.
Automated data exchange
Maintenance signals reach the real maintenance process
Starting point: a PoC shows predictions, but nobody manages the integration. We deliver TimescaleDB for sensor history, the Python model as a REST service, alerts in the Camunda maintenance workflow and visualisation in a Next.js dashboard.
Maintenance becomes predictable
Quality inspection with traceable documentation
Starting point: visual inspection is manual, error-prone and not scalable. Computer-vision model on the industrial PC, REST API with classification and confidence, persistence in PostgreSQL, audit log for auditors. EU AI Act: model card, data lineage, human oversight.
Auditable quality records
Documents and approvals keep moving without chasing
Starting point: incoming invoices, delivery notes and order confirmations are transferred manually from PDFs. We build document AI (LangChain + OpenAI), Camunda for approvals and the integration to SAP.
Automated document handling
Technical implementation
If your IT wants to dig deeper: this is what we use to integrate with existing systems, machines and data sources.
Backend & eventing
Workflow & orchestration
Machine & sensor integration
AI / machine learning
Frontend & dashboards
Infrastructure
More detail: Process automationAI integrationCustom software
Compliance & data sovereignty for industry software
EU AI Act (effective Aug 2026)
High-risk AI in industry (e.g. machine safety components) requires conformity assessment. We deliver model card, data lineage and audit logs as standard artefact.
NIS-2 / NISG 2026
From October 2026 many industrial mid-market companies are obliged. As software supplier we support your supply-chain compliance with documented security measures.
Machinery Directive / CE
Software intervening in safety functions falls under Machinery Directive. We work with your TÜV/CE responsible.
Data sovereignty
Your production know-how stays in EU data centres. On request on-premises operation or hybrid architecture.
Frequent questions from industry projects
Yes. Via official REST/SOAP/RFC APIs, plus iDoc, BAPI or database replication. We confirm the concrete path together, based on your existing systems.
Yes. We combine OPC-UA readers (e.g. Eclipse Milo) with Modbus-TCP adapters, normalise data in Kafka and deliver a unified view in dashboards.
Yes. NDA by default, EU data centres, on-premises on request. No data goes to OpenAI or other US providers without your sign-off.
We do not quote prices upfront or as flat rates. The entry point is a free 60-minute analysis call in which we walk through one concrete process together. If the scope is clear afterwards, you receive a concrete offer. For more complex projects, we clarify requirements and the solution approach first in a paid concept phase.
Yes. Llama, Mistral, Phi or fine-tuned models on-premises. Alternatively Azure OpenAI in EU region with data residency.
If the scope is clear enough, you receive a concrete offer. For more complex projects, we clarify requirements, systems and the solution approach first in a paid concept phase. The results of that phase belong to you.
After launch, we stay on board.
On request, Monadion Care covers operations, adjustments and further development of the automation — so it still fits when production, systems or workflows change.
Which process costs your production time every day?
In a free analysis call we walk through one concrete workflow together and clarify whether automation makes sense.