Veerum Api New

: Teams can use the API to export "clash" resolution data directly into financial reporting tools to prove cost avoidance (VEERUM has previously demonstrated savings of over $2.5M through similar manual efforts).

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Beyond simple data exchange, the Veerum API enables , shifting the paradigm from reactive to predictive maintenance. Without an API, an anomaly detected by a vibration sensor remains a raw data point requiring manual investigation. By integrating the Veerum API with a rules engine, an abnormal reading can automatically trigger a cascade of events: the API creates a highlighted pin on the 3D model at the asset’s exact location, generates a work order in the CMMS, and sends a notification with a hyperlink directly to the technician’s mobile device. This automation drastically reduces Mean Time to Repair (MTTR) and eliminates human error inherent in manual data entry. The API acts as the nervous system of the operation, carrying electrical impulses (data) from the sensors to the brain (the digital twin) and issuing motor commands (work orders) back to the field. : Teams can use the API to export

, and the API instantly pulled up the exact 3D coordinate of the failing part. She could see the valve in high-definition reality-capture data without ever leaving her desk. The Result: Who was that

: Heatmaps reveal where a structure is shifting before a crack even appears.

The new API capabilities focus on breaking down data silos and automating workflows:

The previous iteration of the Veerum API was functional but limited. It supported basic read-only queries and simple tag retrieval. The API suite represents a complete architectural rewrite, moving to a RESTful, OAuth 2.0-secured architecture with GraphQL support for complex queries.