Alchemite™ 2023 Spring Release empowers experimental design in chemicals and materials R&D
Powerful machine learning combined with a reimagined user experience for key tasks
CAMBRIDGE, UK – 30 May 2023 – Intellegens today announced the 2023 Spring Release of the Alchemite™ machine learning (ML) software, focusing on a reimagined experimental design experience. The user interface for this key use case has been redesigned from the ground up in close collaboration with materials and chemicals industry customers, focusing on key tasks and supported by algorithmic enhancements that make it fast and easy to account for complex experimental constraints.
Alchemite™ accelerates innovation in research-intensive industries by enabling scientists to gain more insight from vital experimental and process data. It does this using a methodology that can build ML models for real-world data where other methods fail, combined with a focus on software design and scientific services that make it easy to apply the ML. In just the last four months, Intellegens webinars have shared applications to food formulation (at Yili), additive manufacturing (at Lawrence Livermore National Lab), catalysts for clean air applications (at Johnson Matthey), and biopharmaceuticals (at CPI).
“A key move for us in the past year has been to invest in more time and expertise dedicated to a great user experience,” explains Intellegens CEO, Ben Pellegrini. “Every two weeks, we deliver new features to our customers and we listen closely to their feedback. This milestone release summarises six months of that work that has simplified and empowered key design of experiments tasks while also delivering our most robust system ever for enterprise use.”
Alchemite™ already outperforms traditional experimental design software by applying powerful machine learning that can model complex non-linear correlations in data while handling sparse, noisy datasets. This release makes it easy for scientists, both those beginning their AI journey and those more experienced in data science, to apply these capabilities in real-world experimental programmes.
The latest release transforms the design of experiments (DOE) experience by making it straightforward to specify subtle yet important constraints, for example, combining ranges of permitted values and nested constraints, that are only possible through complicated workarounds in traditional DOE software. The intuitive user interface not only implements these new capabilities but makes it much easier to work with large datasets using a novel Column Groups feature and provides an instant overview of the current project in a new dashboard view, making it much easier to assess progress and decide on next steps.
Experimental programmes in real-world R&D organisations are not implemented by individuals, but by teams operating in enterprise environments. Features that support a collaborative approach, such as tagging and adding notes to projects, have been enhanced in this release. And infrastructure improvements have further increased the robustness of the Alchemite™ cloud computing environment and its compliance with typical enterprise IT requirements.
About Intellegens
Intellegens enables its customers to apply advanced machine learning methods through its Alchemite™ software, accelerating innovation in materials, chemicals, manufacturing, and beyond. The company’s mission is to be the leading machine learning solution for real-world, sparse and noisy data problems in industrial R&D and manufacturing processes. Alchemite™ originated at the University of Cambridge and development is on-going at Intellegens, in close collaboration with a growing community of customer organisations. These represent sectors including alloys, additive manufacturing, aerospace, batteries, ceramics, chemical processes, composites, consumer products, cosmetics, drug discovery, energy, food and beverage, formulated products, paints, plastics, and printing technology.
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