Scaling the AI Kiln: CemAI Swaps Founder for Industrial Veteran

DUBLIN – October 19, 2026 — The global cement industry is a four-billion-ton-per-year behemoth that forms the literal foundation of modern civilization. It is also one of the most stubborn contributors to global greenhouse gas emissions, responsible for roughly eight percent of the world's carbon output. For decades, the sector relied on brute force and massive thermal energy to turn limestone into clinker. Today, the industry is undergoing a quiet but radical transformation, trading analog guesswork for artificial intelligence.

Signaling a critical inflection point in this transition, Dublin-based industrial technology firm CemAI announced today the appointment of Andrew Crose as its new Chief Executive Officer. Effective October 12, Crose succeeds founding CEO Scott Ziegler, who shepherded the company from its 2022 inception through its crucial early stages of product development and market validation. Ziegler will now transition to new opportunities, leaving the helm just as the startup prepares to rapidly scale its enterprise footprint.

This executive swap is not merely a routine corporate reshuffle. It represents a classic maturation phase in the lifecycle of deep-tech startups: the pivot from a founder-led technology incubator to a commercially aggressive enterprise software provider. By bringing in an executive with deep roots in autonomous mining, automotive systems, and global industrial scaling, CemAI is positioning itself to aggressively capture market share in a sector where digital optimization is no longer optional, but an existential requirement.

The Founder-to-Operator Pivot

Since its launch four years ago, CemAI has successfully built a robust technology stack centered on two primary software products: CemAI Predictive Maintenance and CemAI Process Optimizer. Under Ziegler's leadership, the company proved that its machine learning algorithms could digest real-time operational telemetry to minimize downtime, optimize plant throughput, and cut energy consumption. Today, the company boasts installations across fifteen countries, supported by an international team of cement experts.

However, building a functional AI platform and deploying it across thousands of global facilities are two vastly different challenges. Enter Andrew Crose. His resume reads like a masterclass in scaling complex industrial technologies. Most recently serving as Head of Strategic Markets at automotive technology giant APTIV, Crose also held the role of Chief Commercial Officer at battery technology firm Xerotech.

Perhaps most relevant to his new mandate is his tenure as Vice President and General Manager of the Autonomous Mining Division at Hexagon. In that capacity, Crose was responsible for assessing and developing roadmaps for autonomous programs in some of the most challenging environments on earth. He understands the friction points of introducing cutting-edge software into legacy, heavy-industry hardware systems. His academic background—an MBA from the University of Melbourne, a Graduate Diploma in AI and Big Data Analysis from University College Dublin, and a Bachelor of Science in Marketing and Management Information Systems from Southern Illinois University—further bridges the gap between commercial strategy and deep technical execution.

Borrowing the Autonomous Mining Playbook

Crose's specific expertise in autonomous mining provides a critical lens through which to view CemAI's future strategy. Mining and cement manufacturing share a similar operational DNA: both rely on massive, expensive machinery operating in harsh conditions where safety is paramount and unplanned downtime costs millions.

During his time at Hexagon, Crose frequently highlighted a persistent industry challenge: many autonomous projects fail to meet expectations because they remain trapped in the "proof-of-concept" phase or struggle to integrate with legacy OEM systems. To succeed, industrial AI must move beyond isolated pilot programs and become the central nervous system of the entire operation.

CemAI is already demonstrating this capability. The company's AI models have successfully optimized finish mills for improved efficiency and increased kiln reliability by detecting anomalies—such as a gradual tertiary duct drop—that traditional control room alarms often miss. By borrowing the playbook from autonomous mining and automotive manufacturing, Crose is expected to push CemAI's platform deeper into the core operations of global cement producers, shifting the industry paradigm from reactive maintenance to proactive, AI-driven orchestration.

Decarbonizing the Kiln

The urgency behind CemAI's commercial push is inextricably linked to the global mandate for industrial decarbonization. Cement manufacturing is intensely process-driven and energy-heavy. While long-term solutions like carbon capture and alternative chemistries are still maturing, AI offers immediate, measurable reductions in both costs and emissions.

Industry data reveals the staggering potential of these technologies. AI-driven optimization can deliver up to six percent in fuel savings on kiln operations alone, which translates to $1.2 million to $3.5 million annually for a typical 5,000-ton-per-day plant. Furthermore, cement plants adopting AI have reported a 10 to 20 percent reduction in specific thermal energy per ton of clinker produced, alongside an 8 to 15 percent drop in electrical energy consumption during grinding operations.

Beyond energy savings, reliability is a massive driver of efficiency. Unplanned kiln shutdowns are notoriously expensive and carbon-intensive, as restarting a kiln requires massive amounts of fuel. AI-powered predictive maintenance has been shown to reduce unplanned downtime by up to 50 percent within the first operating year, leading to substantial maintenance cost reductions. By combining real-time data analytics with deep cement-industry expertise, CemAI's software directly attacks the inefficiency that breeds excess carbon emissions, turning sustainability from a compliance burden into a driver of profitability.

A Crowded Arena for Heavy Industry AI

Crose's mandate to expand CemAI's global footprint will not be executed in a vacuum. The market for industrial AI is rapidly heating up. By the end of 2026, an estimated 65 percent of global cement manufacturers will have deployed at least one AI use case, a massive leap from just 22 percent three years prior.

CemAI faces competition from multiple flanks. On one side are the established industrial automation giants like ABB, Schneider Electric, and Siemens. These behemoths offer scalable automation solutions and deep integration with existing plant hardware. ABB's Ability Knowledge Manager and Schneider's EcoStruxure Plant Advisor are deeply entrenched in the sector. SAP and IBM also loom large with their enterprise asset management platforms, though these often require massive capital investment and lengthy implementation timelines.

On the other side is a nimble cohort of specialized AI startups. Companies like Oxmaint, which claims to reduce unplanned downtime by 73 percent using AI-powered predictive maintenance, and iFactory, which integrates with kiln shell scanners to deliver comprehensive asset health monitoring, are fiercely competing for market share. UptimeAI and Crunch-IS are also aggressively targeting the cement sector with specialized reasoning agents and data engineering solutions.

To win in this crowded arena, CemAI must leverage its unique competitive advantage: a hyper-focus specifically on cement production combined with software that delivers rapid return on investment without requiring massive hardware overhauls. The appointment of Andrew Crose signals that CemAI is ready to transition from a successful technology pioneer into a dominant commercial force. As heavy industry continues to rewrite the rules of global competition through digital infrastructure, the companies that can seamlessly bridge the gap between artificial intelligence and heavy machinery will define the next fifty years of industrial progress.