Agentic AI for food and consumer goods.On your own infrastructure.

Hazards controlled at critical points, with limits monitored and deviations documented. How Operaide supports it: Apps check lab results against your limits, alert the responsible people and record every check. Your quality team decides on the action.

Risk management and incident reporting. Food production, processing and distribution is among the sectors in scope. How Operaide supports it: Runs inside your security perimeter, with SSO, roles and step-by-step tracing. You decide when updates are installed.

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.

Your quality team. The app checks and alerts. Blocking a batch, the corrective action and the production plan stay with people, and every step is traced.

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. Translation apps can run with local AI models on your own hardware, so recipes, specifications and unreleased content never leave your network.