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Martinrea International Secures Strategic Stake in AI Firm PolyML

Martinrea International Inc. has acquired a strategic stake in PolyML to integrate advanced AI into its global automotive manufacturing network.

Martinrea International Inc. has acquired a strategic stake in PolyML to integrate advanced AI into its global automotive manufacturing network.

Martinrea International Inc. has acquired a strategic stake in PolyML to integrate advanced AI into its global automotive manufacturing network.

NewDecoded

Published Jan 19, 2026

Jan 19, 2026

7 min read

Image by PolyML

PolyML has announced a strategic investment and multi-year collaboration with global automotive supplier Martinrea International. The deal begins with an initial 1.5 million dollar investment for a minority equity interest in the Waterloo-based machine learning developer. This partnership aims to integrate PolyML’s proprietary Fiins AI platform into Martinrea’s global operations to improve operational efficiency and quality.

The total investment is expected to increase to 3.0 million dollars over the next two years, subject to certain conditions. Martinrea secures exclusive rights to deploy these specific solutions within the automotive sector. This capital injection will support PolyML’s growth and the expansion of its technical and delivery teams in Ontario.

Unlike generic machine learning models, PolyML’s Fiins AI platform utilizes a "first principles" scientific approach to deliver interpretable insights. This "white box" transparency is essential for industrial environments where trust in analytical outputs is critical for high-stakes performance. The platform helps identify early signals in complex datasets to drive confident decision-making.

Mardi Witzel, CEO of PolyML, stated that the collaboration provides essential validation for their technology in demanding manufacturing settings. She noted that working with a global organization allows the firm to refine its platform while addressing complex, operationally critical data. The partnership offers a high-volume environment to further stress-test their analytical tools.

Martinrea has already deployed these solutions for adaptive welding and press health monitoring across its global network. Pat D’Eramo, CEO of Martinrea, highlighted that the company is seeing notable improvements in cost and efficiency. He described the partnership as central to the company’s broader machine learning initiatives and digital transformation.

While manufacturing remains a primary focus, PolyML plans to scale its capabilities into regulated sectors like healthcare and financial services. These industries value the transparency and governance provided by interpretable AI models. PolyML retains the rights to apply its core technology across these diverse non-automotive fields.

PolyML is led by a team of experts including Chief Scientist Dr. Gaston Gonnet, a co-founder of OpenText. Martinrea operates 57 locations worldwide, producing metal parts and fluid management systems. This collaboration bridges deep academic rigor with global industrial scale.


Martinrea International Inc. (TSX: MRE) has announced a strategic investment in Polyalgorithm Machine Learning Inc. (PolyML) to accelerate the integration of advanced data analytics into its global manufacturing operations. The Toronto based automotive leader acquired an initial 10 percent equity stake for 1.5 million dollars, with a structured path to increase its interest to 20 percent over the next two years. This partnership focuses on deploying proprietary intelligence to optimize high volume production environments across 57 global locations. At the center of this collaboration is Fiins AI, a platform developed by PolyML to find actionable solutions within complex, information dense datasets. Martinrea currently utilizes this technology to power its adaptive welding software, which identifies real time efficiencies to improve weld quality and reduce energy consumption. Additionally, the platform provides predictive health monitoring for heavy stamping presses, offering early warning insights that significantly decrease unplanned downtime.

The investment provides Martinrea with exclusivity for PolyML solutions within the automotive sector and other specific industrial applications. Beyond the factory floor, the Fiins AI architecture is designed for transparency and interpretability, making it suitable for regulated industries like healthcare and financial services. This "explainable AI" approach ensures that automated decisions meet the rigorous trust standards required by global regulators and stakeholders.

Martinrea CEO Pat D’Eramo stated that the Advanced Manufacturing Team is already seeing notable improvements in cost and efficiency where these tools are deployed. The two companies intend to co-develop new products for internal use while also marketing the Fiins AI platform to third party customers. This dual approach allows Martinrea to monetize its manufacturing expertise through a software as a service model.

Mardi Witzel, Chief Executive Officer of PolyML, noted that the investment reflects confidence in the relevance of their technology to industries where analytical rigor and trust are essential. As a leader in lightweight structures and propulsion systems, Martinrea continues to shift from traditional hardware manufacturing toward a tech enabled operational model. This move aligns with broader industry trends toward Industry 4.0, where data serves as a critical asset for maintaining competitive margins.


Decoded Take

Decoded Take

Decoded Take

Digital Transformation in Automotive Manufacturing

This investment signals a critical shift in the automotive supply chain from reactive maintenance to predictive, software defined manufacturing.

By securing exclusivity for these AI applications, Martinrea is creating a technological moat that prevents competitors from accessing the same precision in energy optimization and quality control. The emphasis on transparency and interpretability addresses the primary hurdle of industrial AI adoption, which is the lack of trust in automated decision making. Ultimately, this deal demonstrates how legacy manufacturers are internalizing innovation to turn operational data into a direct driver of both sustainability and bottom line growth.

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