DuPont Partners With Uncountable to Standardize Lab Data and Speed Product Development
DuPont announced a collaboration with Uncountable, an AI platform for product development, to standardize how its research labs capture and analyze experimental data. The partnership aims to accelerate how the chemical company moves from testing to actionable insights across its R&D organization.
The deal addresses a core challenge in product development: converting raw experimental data into structured information that machine learning systems can use. DuPont's labs generate vast amounts of data during formulation testing and optimization. Without standardization, that data often remains siloed and difficult to analyze at scale.
Marty DeGroot, DuPont's Chief Technology Officer, said the collaboration strengthens the company's ability to deploy advanced data analysis and machine learning consistently across the enterprise. "High-quality, structured data is critical to achieving innovation excellence at scale," he said.
Uncountable's platform captures experimental workflows and converts them into a unified data layer for product development. This allows DuPont to run analytics across multiple projects and identify patterns that might otherwise remain hidden in disconnected spreadsheets and lab notebooks.
The partnership reflects a broader shift in how large R&D organizations approach innovation. Rather than treating data collection as a byproduct of experimentation, companies now recognize it as a core asset that directly affects time-to-market and product quality.
Will Tashman, Uncountable's Co-Founder and Chief Customer Officer, said the goal is to help DuPont "move faster from testing to insight-and accelerate delivery of new solutions to customers."
Uncountable serves more than 150 customers across chemicals, advanced materials, consumer goods, food and agriculture, and pharmaceuticals. DuPont operates in healthcare, water, construction, and industrial markets.
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