Delays caught while you can still act.Every carrier and supplier message read.

Yes. The apps read emails, PDFs and portal messages in the common business languages and flag the ones they are not sure about for a person to check.

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.

Mailboxes, portals, websites, news and social media feeds, registers, documents and your own systems such as ERP or CRM, through their interfaces. Every alert links to its source.

Your team. You set what matters, such as thresholds, topics, suppliers or deadlines, and adjust it as you go. Everything else is read and logged, without an alert.

Only where you allow it. By default it alerts and suggests the next step, and your team decides. Alerts arrive in the app, by mail or in your team chat.

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.