Deviations closed before release.Investigated from batch data.

Yes, with the right controls: the app prepares, a qualified person decides, and every run is traced, versioned and approved. Whether an app needs validation depends on its GMP relevance, and we support you with the documentation.

They draft data sheets and translations from your approved phrases and product data. A product safety expert checks and releases every version.

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. The report goes out in the customer's template or portal, in German or English, and your team checks every step first.

The complaint or deviation, your ERP and quality system, process and machine data, and your past 8D and deviation reports. Every statement shows its source.

Your quality team. The app proposes root causes with the data behind them and flags what still needs a test. Nothing is sent without approval.

Domain experts build no-code in the App Builder, and developers extend the apps in code in Operaide Studio. IT keeps control of AI models, data and access. If you like, our engineers build the first version with you, for example in the AI Bootcamp.

Commercial, European and self-hosted AI models: OpenAI, Anthropic, Mistral, Azure, Google, Amazon Bedrock, OpenRouter and more, or open-source models via Ollama or LM Studio. Your administrators configure them, and every step of an app can use its own AI model, chosen for its task.