Local AI for industry – run AI on your own hardware

Which companies benefit from local AI

Local AI is especially relevant when data is sensitive, production processes are critical or compliance requires clear control. That includes manufacturers, machine builders, industrial service providers and organisations that want AI as part of their operational system landscape rather than an isolated experiment.

Local processing instead of external dependency

With OPAIRS, data, metadata, vector data, models and AI workloads stay inside your own infrastructure. Companies can use AI functions without permanently binding operational data to external platforms, cloud APIs or SaaS services.

Local language models that fit your use case

Local AI does not mean giving up quality. OPAIRS uses open language models such as Mistral, Qwen or gpt-oss alongside its own domain-specific fine-tuned OPAIRS models for SQL, production, maintenance and time series. In a concrete use case, small specialised models often deliver more usable answer quality per watt than large general-purpose LLMs.

• •Open LLMs and OPAIRS models on NVIDIA GPUs in your own facility
• •No token costs, no subscription, no data transfer to third parties
• •Workstation or server – hardware grows with additional GPUs as needed

Local AI as part of a complete system

A local language model alone does not solve a business process. OPAIRS connects local AI with a continuous pipeline of machine, ERP and document data, approval stages and dashboards – turning a local model into an AI system whose performance can be measured in operation.