Build defect datasets from archived CCTV videos and use built-in Machine Learning to inspect more pipes, faster, better and cheaper and automate ongoing inspection projects.
Use built-in analytics to determine and score the likelihood of failure, consequence of failure including hydraulic performance impact, and business risk exposure of each asset and better manage and prioritize repair.
Leverage cutting edge built-in algorithms to trace the root causes of (factors having the highest impact on) asset deterioration/failure and take corrective actions while driving long-term performance improvements.
Determine how to best absorb, recover from, and more successfully adapt to disruptive incidents and build infrastructure resilience.
Perform economic life cycle cost analysis to determine the optimal replacement date for your assets and reduce total cost of ownership.
Create optimal and prioritized R&R plans that will improve asset performance and work within your existing CIP budgets.