Trustworthy AI

Trustworthy AI for industry – AI you can trust, running on your premises

In production, trust in AI does not come from promises but from control: who sees the data, who approves results, how good is a model in the specific use case? OPAIRS is a local AI system for manufacturing companies built to answer these questions technically – on your own hardware, with no data flowing to third parties.

What trustworthy AI means

The term trustworthy AI comes from the Ethics Guidelines of the High-Level Expert Group on AI set up by the European Commission and is one of the foundations of the EU AI Act. Trustworthy AI should be lawful, ethical and robust. For industrial companies, this translates into very concrete requirements for architecture and operations.

•Human oversight: people approve results
•Technical robustness and safety
•Privacy and data governance
•Transparency and traceability
•Accountability and auditability

Human control through approvals

In OPAIRS, AI delivers answers, forecasts and recommendations that your team approves. Changes to leading systems such as the ERP are only written back after approval. For agentic AI in production, we are developing a controlled environment in which guardrails and approvals are built in.

Traceable data instead of a black box

In OPAIRS, data passes through defined quality and approval stages – from raw data to verified process data to approved decision data. Models only receive context-relevant, approved data. Data lineage and role-based access make data flows traceable and auditable.

Measurable model quality

Trust needs metrics. OPAIRS measures AI like a machine: quality, response time and availability per use case. Domain-specific fine-tuned models are evaluated against concrete test cases before they go into production.

Security and data sovereignty by design

Local operation is the prerequisite for trustworthy AI on sensitive production data: data, vector data, models and workloads stay in your infrastructure, up to air-gapped scenarios. In addition, the OPAIRS SBOM scanner continuously monitors software components for vulnerabilities – one building block for Cyber Resilience Act requirements.

Oriented to the EU AI Act

OPAIRS is developed according to security by design, with security and privacy concepts relevant to the EU AI Act, ISO 27001, ISO 27701 and the Cyber Resilience Act. Specific compliance requirements are implemented together with your domain and security officers.

FAQ

What is trustworthy AI?

Trustworthy AI describes AI systems that are lawful, ethical and technically robust. It includes human oversight, safety, privacy and data governance, transparency and traceability. The concept comes from the Ethics Guidelines of the EU High-Level Expert Group on AI and shapes the EU AI Act.

Why is local AI a prerequisite for trustworthy AI in production?

Only when data, models and processing stay in-house does a company keep full control over who accesses what and how results are produced. External cloud and API services make data flows and model changes harder to control.

Does OPAIRS automatically make my company EU AI Act compliant?

No, no software product can do that on its own. OPAIRS provides technical building blocks such as approvals, data lineage, role-based access, local processing and vulnerability monitoring. Classification and implementation of specific requirements are done together with your domain and security officers.