Agentic AI for industrial services.On your own infrastructure.

Many of your customers in energy, chemicals and water are in scope and pass supply chain security requirements on to their service providers. How Operaide supports it: Runs inside your security perimeter, with SSO, roles and step-by-step tracing. You decide when updates are installed.

Control over personal data such as technician, customer and contact data. How Operaide supports it: Apps and their data are stored on your infrastructure. For each app you choose which AI models process data and where they run.

Transparency, documentation and human oversight for the AI systems you use. How Operaide supports it: Step-by-step tracing of every run, human approval steps, and Audits: an EU AI Act assessment for every app.

Yes. The app drafts the report from the technician's notes, photos and the work order. The technician checks, completes and signs it.

A first version of a simple app runs within hours, a complete one within days, depending on the systems you connect. In the AI Bootcamp your teams build their first apps with us in five days and roll them out.

Yes. There is no connector catalogue to wait for: each connection is built for your system through REST or MCP, including ERP, CRM, EDI, portals, older and in-house systems. Connections are set up once in the platform, and your apps read and write through them with the access rights you set, without secrets in the code.

Only if you decide so. Operaide runs on your own infrastructure, and for each step of an app you choose the AI model: a local model on your own hardware for data that must not leave, or a frontier model in your cloud tenant. An app can also use a local model to remove personal data before anything reaches a cloud model. Every run is traced, so you can see which data went where.

Yes. Operaide separates organisations, controls access through roles and gives every app instance its own database, so customer data and knowledge bases can be kept apart.