Increased competition and demand slumps are putting margin pressures on the chemical industry. Unplanned equipment downtime and process efficiency are typically the leading opportunities for operational improvement. UptimeAI’s artificial intelligence driven solution offers the most comprehensive equipment and process monitoring that maximizes the profitability of chemical companies.
The average site faces challenges with excessive unplanned maintenance, which is three to five times more costly than planned maintenance. Further, energy is central to chemical manufacturing, and neglecting to manage operating costs in the chemical industry can lead to lower margins.
Operational failures cause catastrophic losses, put worker safety at risk, and damage the company’s reputation. Sites with less failure have 20 to 30 percent better safety performance and reduced costs.
With 27% of the workforce retiring in the next 3-5 years, incompatible systems, clunky user interfaces, and poor integration, teams have been saddled with antiquated systems and loss of intellectual capital.
As technology advances, the benefits of the use of artificial intelligence in chemical industry increasingly outweigh the challenges of its implementation.
With unique system-level models, UptimeAI offers a practical and cost-effective way to monitor every piece of equipment. Avoid 100s of false alarms and get precise alerts with automated failure mode diagnosis.
Automatically adapt to changes in operating conditions with unsupervised learning and analyze the impacts of upstream and downstream parameters to maximize yield, throughput, and efficiency.
Empower teams with AI that continuously learns from user feedback and new data to extract best practices and standardize them across sites. Increase productivity with built-in failure modes and prescriptive actions.
With unique system-level models, UptimeAI offers a practical and cost-effective way to monitor every piece of equipment. Avoid 100s of false alarms and get precise alerts with automated failure mode diagnosis.
Automatically adapt to changes in operating conditions with unsupervised learning and analyze the impacts of upstream and downstream parameters to maximize yield, throughput, and efficiency.
Empower teams with AI that continuously learns from user feedback and new data to extract best practices and standardize them across sites. Increase productivity with built-in failure modes and prescriptive actions.
Before UptimeAI, we monitored only the rotating equipment. We had to triage dozens of alarms to catch one issue. Further, we had no coverage of towers and reactors. UptimeAI solved all of these problems with its system models. We don’t get duplicate alarms, and we can cover both static and rotating equipment.
Let’s start a conversation. UptimeAI is ready to deploy out of the box, and our expert team is here to support you every step of the way.