Industrial AI
Industrial AI turns production data, process knowledge and AI models into usable decisions in day-to-day industrial operations. OPAIRS implements industrial AI locally: as an AI system for data integration, knowledge building, validated AI recommendations and controllable workloads inside your own infrastructure.
In many companies, relevant information is scattered across ERP, CMMS, PLM, documents, maintenance reports and tacit knowledge. OPAIRS structures this information, makes it searchable and provides it with AI support for concrete industrial use cases – from maintenance and quality to production planning and management decisions.
Productive industrial AI systems must be traceable, integrable and controllable. OPAIRS is therefore designed for local processing, clear role models and an architecture that never pulls industrial data out of the company context.
Explore the architecture, use cases and data sovereignty of the local OPAIRS AI system.
AI for shop floor, maintenance, quality and planning.
Cyber-physical AIIndustrial AI that interacts with machines and processes under control.
Trustworthy AITrustworthy industrial AI: controllable, traceable, local.
Industrial AI pipelineFrom raw data to validated AI recommendations.
Data sovereignty in manufacturingData control as the foundation of industrial AI.
Industrial AI is the use of artificial intelligence in industrial processes such as production, maintenance, quality, planning and supply chain. Unlike generic AI assistants, industrial AI works with machine, process and business data and must be traceable, robust and integrable into existing IT/OT landscapes.
OPAIRS runs fully on-premise on the company’s own hardware. Data, models and workloads stay in-house, there are no token costs and no subscription, and the system is measured like a machine: quality, response time and availability per use case.