Portfolio
Three product lines,
one AI platform for industry
Maintenance, Process Engineering, Warehouse: three lines built on the same proprietary method, orchestrating computer vision, knowledge graphs and agents inside industrial processes.
Maintenance
Recognize components, structure distributed technical knowledge.
OpSight Maintain
Smart identification of industrial components · powered by Parts.AI
Platform for identifying, classifying and coding industrial components via computer vision. An operator photographs a part with a smartphone and the AI pipeline recognises it, classifies it and maps it to the correct code in the corporate ERP. In production in multi-plant enterprise environments. Less downtime, less unnecessary stock, more control.
Tech stack
Key features
- ✓ Photo → OCR → exact/fuzzy SAP match → merchandise classification → operator validation pipeline
- ✓ Offline-first iOS/Android mobile app and back-office validation console
- ✓ Enterprise SSO (Entra ID) and SAP export templates
- ✓ Multi-tenant white-label with autoscaled AI pipeline on Azure
- ✓ Continuous learning loop via operator feedback
Process Engineering
Automate repetitive document work, give experts their time back.
OpSight Execute
AI agents for industrial document work
A line of vertical AI agents for repetitive document work: safety documentation, commissioning plans and warehouse acceptance. Each agent reads the technical context from the enterprise knowledge graph, compiles the artefact and stops where expert validation is needed.
Tech stack
Key features
- ✓ Safety Agent — compliant interference risk and method documents
- ✓ Commissioning Agent — test plans from P&ID diagrams and BOMs
- ✓ Warehouse Acceptance Agent — multi-document conformity control
- ✓ Anchored to the enterprise knowledge graph, no out-of-domain hallucinations
- ✓ Editable artefacts with expert-in-the-loop where it matters
Warehouse
Read SAP movements in real time, anticipate discrepancies.
OpSight Observe
Predictive diagnostics over SAP warehouse movements
Platform that turns warehouse data into predictive diagnostics. Recurring discrepancies — adjustments, anomalies in SAP movements, process signals that went unnoticed — surface during the month instead of at year-end close, with structured root cause analysis and alerts prioritised by relevance.
Tech stack
Key features
- ✓ Parametric controls library over SAP MM movements
- ✓ ML normality engine that learns each plant pattern
- ✓ Investigative copilot for guided root cause analysis
- ✓ Cross-plant benchmarks and impact-prioritised alerts
- ✓ Native SAP integration and operational governance workflows
Have a similar use case?
Our products start from concrete problems. If you recognise one of your company's processes in what we do, let us talk.
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