Agentic AI for energy and utilities.On your own infrastructure.

Risk management, incident reporting and supply chain security for energy companies, with stricter duties for critical infrastructure operators. How Operaide supports it: Runs inside your security perimeter, with SSO, roles and step-by-step tracing. You decide when updates are installed.

Grid and energy plant operators need an information security management system, usually certified to ISO 27001. How Operaide supports it: Operaide runs inside your own infrastructure and controls, so it becomes part of your existing ISMS, with every run traced as evidence.

Control over personal data such as customer, contract and meter 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. Operaide runs on your own infrastructure, inside your security perimeter, even fully air-gapped with local AI models. It becomes part of your existing security management, and every run is traced.

Your grid planners. The app checks completeness and prepares the review. The technical assessment and the decision stay with your experts.

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.