Bid on the right tenders.Every page read, every risk found.

Yes. The apps read scanned documents, PDFs, tables and the text in plans. How well depends on the AI model behind the task. The technical review of a plan stays with your planners.

Your estimators and lawyers. The app prepares and flags. Prices, the decision to bid and the legal assessment 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.

PDFs, scans, mails, Excel files and supplier portal exports, in any language. Every value shows where in the offer it comes from.

Your team. Price, terms, delivery, quality and anything else that matters, weighted per category. The criteria can differ per material group or tender type.

No. It compares, scores and recommends. Your buyers negotiate and decide, and every decision is logged with its reasons.

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.