Start with the work you want to simplify
Create a calendar event, update a production tracking system, or generate a report from test results: we connect LabVIEW to the tools you already use.
Matthias’s talks illustrate calls to Google Maps and calendar event creation through Microsoft Graph. These examples show an integration approach; each project depends on the APIs and permissions available in your environment.
Move data in both directions
LabVIEW can call an external service, read its response, and use it within the application. It can also expose services for other software to use. The choice depends on where the data lives and which application initiates the operation.
- Consume an API to retrieve or send information.
- Expose selected application functions to a portal or another system.
- Connect these exchanges to existing databases, documents, and business workflows.
Plan beyond the first successful request
A usable integration needs to handle access, expected data, and failures. We review authentication, permissions, secret protection, data formats, timeouts, and errors.
The workflow also needs to account for repeated operations, service outages, and API changes. Logs and a troubleshooting procedure help the team that will maintain the connection.
Useful foundations for AI features
An assistant inside LabVIEW also needs accessible data, defined functions, and explicit permissions. This integration work lays foundations for a chatbot or MCP control. AI behavior and action approval are then evaluated in a dedicated pilot.
Automate the first exchange
We first connect two tools to send a result, retrieve information, or trigger an action. We test the exchange and error handling before connecting more functions.