High value asset Inspection

Build a data ingestion pipeline for easy aggregation and contextualization.
Integrate external and internal databases (weather, GIS, etc.)
Automate the digital inspection process and check for defects on valuable equipment such as pipes, boilers, tanks, and flare stacks with pre-built ML models.
Train pre-built ML models with incremental learning as you review and validate defects on a dedicated user interface.
Generate reports automatically.
Integrate collaborative tools fully.
Link work orders to specific teams and equipment IDs.
Elaborate on predictive models by cross analyzing with industrial and IoT data.