The AI Revolution in Ink: INX Taps Albert Invent to Remake R&D

SCHAUMBURG, Ill. & OAKLAND, Calif. – June 09, 2026 – In a move that signals a profound shift within the materials science landscape, INX International Ink Co., a global manufacturing leader, has announced a strategic collaboration with chemistry AI pioneer Albert Invent. The partnership will see INX deploy an AI-native operating system across its research and development operations, aiming to dismantle data silos, streamline discovery, and fundamentally rewire how its scientists innovate.

This collaboration is more than a simple software upgrade; it represents a deliberate stride by an established industrial giant to embed artificial intelligence into the very core of its innovation engine. For an industry built on meticulous, often lengthy, trial-and-error experimentation, the partnership is a high-stakes bet on a future where new materials are not just discovered, but designed with digital precision and speed.

A Digital Overhaul for a Legacy Industry

As the third-largest producer of inks and coatings in North America and a key part of the global SAKATA INX network, INX International operates one of the industry's most scientifically diverse R&D organizations. Its expertise spans a wide array of complex chemical systems, from traditional solvent-based inks to advanced energy-curable coatings. Yet, like many mature manufacturing sectors, its R&D has been constrained by legacy processes.

Historically, materials science R&D has been a fragmented endeavor, with critical data scattered across disparate spreadsheets, paper notebooks, and siloed departmental systems. This makes it incredibly difficult to spot trends, share insights, and leverage decades of accumulated institutional knowledge. INX identified these “gaps in data harmonization” as a critical barrier to accelerating innovation. The company sought a solution that not only unified its data but also provided a clear pathway to leveraging that data with AI.

“Digital transformation in R&D isn’t just about implementing software. It’s about changing how knowledge flows across an entire organization,” said Mark Hill, INX’s senior vice president of R&D. This perspective underscores the strategic depth of the collaboration. The goal is not merely to digitize old processes but to foster a new culture of data-driven discovery, where insights from one experiment instantly inform the next, across the entire global organization.

The AI Co-Pilot: How Albert Invent Works

The technology at the heart of this transformation is Albert Invent’s AI-native operating system. Built by chemists for chemists, the platform is designed to be an end-to-end R&D ecosystem, replacing the patchwork of traditional tools with a single, unified source of truth. Unlike systems where AI is an afterthought, Albert was built from the ground up to integrate machine learning into every step of the scientific workflow.

At its core, the system captures and structures experimental data at a granular level. A crucial first step in the INX collaboration was a major data migration effort, transferring the company’s vast repository of historical R&D data into the Albert platform. This ensures that decades of invaluable institutional knowledge are not lost but instead become the foundational fuel for the AI models.

Once the data is structured, Albert’s proprietary AI engine, Breakthrough™, gets to work. Trained on millions of molecular structures, the AI acts as a co-pilot for INX scientists. It can predict the performance of new formulations, suggest novel experiments to optimize material properties, and identify patterns that would be impossible for humans to detect in the vast sea of data. This shifts the role of the scientist from conducting repetitive iterations to orchestrating a more strategic, AI-assisted discovery process. The potential efficiency gains are dramatic, with similar deployments in the industry compressing R&D projects that once took months into a matter of days.

“Modern materials innovation will increasingly depend on turning experimental knowledge into intelligence,” noted Nick Talken, CEO of Albert Invent. “By building an AI-ready R&D infrastructure, INX has taken a huge leap forward when it comes to setting industry standards for innovation.”

From Lab Bench to Market: The Strategic Impact

For INX, the implications of this partnership extend far beyond the laboratory. By accelerating R&D cycles, the company can bring new, higher-performing, and more sustainable products to market faster, strengthening its competitive edge. In an industry where speed and innovation are paramount, the ability to rapidly respond to customer needs with optimized formulations is a powerful advantage. The platform also streamlines regulatory compliance, allowing formulators to generate Safety Data Sheets (SDS) directly within their workflow, removing a common bottleneck in product development.

This move places INX at the vanguard of a much larger trend. The global market for AI in materials discovery is projected to grow exponentially, reaching nearly $20 billion by 2034 as companies race to reduce R&D costs—by some estimates, by as much as 30% to 60%—and accelerate the development of next-generation materials for clean energy, advanced electronics, and sustainable packaging.

The success of such a transformation hinges on more than just technology; it requires a true partnership. INX CEO Bryce Kristo highlighted this, stating, “The team at Albert comes from deep industry expertise and fundamentally understands the nuances of our business.” This sentiment reflects a critical success factor: Albert is positioned not as a vendor, but as a “transformation partner,” working hand-in-hand with INX scientists to map their unique workflows and drive adoption across the organization.

A Blueprint for Industrial AI

The INX and Albert Invent collaboration offers a compelling blueprint for how AI can be successfully integrated into the core of traditional, asset-heavy industries. It demonstrates that with the right strategy, even the most established companies can pivot towards a future of AI-driven innovation. For Albert Invent, securing a partnership with an industry giant like INX provides powerful validation of its technology's scalability and its model of deep-domain partnership, a model already being deployed with other leaders like Henkel and Chemours.

By tackling the foundational challenges of data fragmentation and workflow integration head-on, the two companies are creating a dynamic R&D environment where every experiment conducted makes the entire system smarter. This initiative is about more than just making better ink; it’s about proving that the path to the next generation of physical materials will be paved with data, powered by AI, and built through strategic collaboration. The partnership is a definitive step toward building an internal environment where discovery can accelerate with every experiment.