Every ingredient checked.Before it goes into production.

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.

Certificates of analysis and lab reports as PDF or scan, results from your LIMS and inspection data from your systems. Each value is matched to its batch and its parameter.

From your specifications, per material and supplier, and from the legal limits that apply. When a specification changes, the new limits apply from that day on.

Only where you allow it, for example batches with every value well within the limits. Everything else goes to your quality team, and every release is logged.

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.