Why on-premise AI?
Many AI projects start quickly with SaaS or API services. Productive industrial operations bring different requirements: sensitive production data, role and access concepts, traceability, latency, cost control and integration into existing IT/OT landscapes. On-premise AI addresses exactly these requirements, because data, models and workloads stay inside the company.
OPAIRS as an alternative to cloud APIs and SaaS
OPAIRS is not a generic chatbot tool but a complete AI system of hardware and software that runs on your premises. Company knowledge, documents, process data and operational information are brought together in a controlled architecture – delivering AI-supported recommendations, analyses and assistance without SaaS lock-in.
Efficient on three levels
For OPAIRS, on-premise is the prerequisite and efficiency is the goal: one continuous data pipeline instead of isolated tools, small domain-specific models instead of large general-purpose LLMs, and a one-time investment instead of usage-based fees.
- •Data efficiency: from raw signal to dashboard from a single source
- •Inference efficiency: more usable answer quality per watt and per euro of hardware
- •Cost efficiency: cost per user falls as adoption grows