Univation and C3 AI partner on predictive maintenance for petrochemical

Published 30/06/2025, 12:20
Univation and C3 AI partner on predictive maintenance for petrochemical

HOUSTON/REDWOOD CITY - Univation Technologies and C3 AI (NYSE:AI), a technology company with robust financial health and over $389 million in trailing twelve-month revenue, announced Monday they have entered a strategic cooperation agreement to commercialize AI-powered predictive maintenance solutions for the petrochemical industry. According to InvestingPro data, C3 AI maintains strong liquidity with a current ratio of 6.86, indicating solid operational flexibility.

Under the agreement, Univation will license and distribute C3 AI software currently deployed at Dow Inc., Univation’s parent company, while providing technical services for implementation and ongoing support. The partnership comes as C3 AI demonstrates impressive revenue growth of 25.27% over the last twelve months, reflecting strong market demand for its AI solutions.

The solution builds on Dow’s existing implementation of C3 AI Reliability across more than 50 steam cracker furnace operations, which is being expanded to additional furnaces and critical assets within Dow’s global facilities.

"C3 AI has been pivotal in transforming Dow’s operations from reactive to predictive, optimizing asset performance to drive value," said Debra Bauler, chief information and digital officer at Dow.

The offering combines the C3 Agentic AI Platform with Univation’s technical expertise to identify equipment issues proactively, maximize uptime, and optimize operational performance for steam cracker operations.

Nathan Wiker, president of Univation Technologies, stated that the technology "elevates proactive predictive maintenance programs for steam cracker operations to an entirely new level."

Ed Abbo, Chief Technology Officer at C3 AI, added that the collaboration "will accelerate adoption of this proven, domain-specific AI application across the broader petrochemical industry."

The solution aims to improve plant performance through data-driven insights, prevent costly equipment failures through early issue detection, and extend the productive lifespan of critical equipment.

According to the press release statement, the technology is designed to be adaptable to various steam cracker furnace unit operations with expert technical support from both companies. For investors interested in AI sector opportunities, InvestingPro offers comprehensive analysis with 8 additional ProTips and detailed financial metrics, helping you make informed investment decisions in this rapidly evolving space. Access the full C3 AI Pro Research Report, part of InvestingPro’s coverage of 1,400+ US stocks, for in-depth analysis and expert insights.

In other recent news, C3 AI has secured a $13 million task order from the United States Air Force to enhance its AI-enabled predictive maintenance system, part of a broader $450 million agreement. This development highlights C3 AI’s ongoing collaboration with the Air Force, focusing on improving aircraft readiness and reducing maintenance costs. The company has also announced a significant expansion in its contract with the Air Force, raising the ceiling to $450 million through October 2029, allowing for broader deployment of its predictive maintenance technology. Meanwhile, UBS has maintained a Neutral rating on C3 AI, with a price target of $28, expressing cautious optimism about the company’s revenue guidance but noting uncertainties in the revenue mix.

Additionally, C3 AI has appointed Rob Schilling as Executive Vice President and Chief Commercial Officer, bringing his extensive experience from Oracle and Nokia to lead customer-facing operations. This appointment comes at a pivotal moment as the company strengthens its leadership team. These developments signify C3 AI’s strategic efforts to expand its influence in the enterprise AI sector and its commitment to supporting military readiness through advanced AI solutions.

This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.

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