Alchemite for DOE

Alchemite™ for DOE, developed by Intellegens, is a machine learning-powered Design of Experiments platform built for R&D teams in life sciences, materials science, manufacturing, and related industries. It enables adaptive experimental design through an easy-to-use web interface — requiring no coding skills, no advanced statistics knowledge, and no lengthy training courses. The platform is designed to help scientists, managers, and data scientists run smarter experimental programmes that deliver faster, fewer, and better experiments.

Real-world customers have reported dramatic results using Alchemite™ for DOE. Johnson Matthey identified a route requiring five times fewer experiments for improved catalyst formulation designs. The AMRC found that Alchemite™ could enable an 80% reduction in direct testing costs when studying manufacturing processes for composite materials. FUCHS improved lubricant formulation performance by 50% and reached results faster, while Domino Printing Sciences reduced formulation timescales by months during new ink development. A collaborative additive manufacturing project involving AMRC, Boeing, Constellium, and GE Additive demonstrated the ability to rapidly optimise process parameters for new powders and machines.

Core Capabilities

• Faster learning: Uncover new insights in just a few button clicks through an intuitive web user interface, enabling teams to discover improved experimental pathways, find better solutions, and understand the reasoning behind the platform's suggestions.
• Fewer experiments: Streamline R&D productivity by cutting experimental workloads, allowing teams to respond more quickly to market changes and deliver reliable outcomes at lower cost without disrupting existing workflows.
• Better results: Alchemite™ enables an adaptive DOE approach that not only meets objectives sooner but can also uncover solutions that traditional DOE methods would miss, delivering trustworthy, proven outcomes alongside valuable insights and supporting team collaboration.

Product Tiers

• Alchemite™ Designer: Tailored for scientists running experimental programmes. Allows users to set up and run DOE projects in just a few button clicks and share recommendations and insights with colleagues.
• Alchemite™ Viewer: Designed for managers and other team members who need to explore project results and apply findings in decision making without running experiments themselves.
• Alchemite™ Architect: Built for system architects and data scientists who require access to the full power of the Alchemite ML method, including the ability to integrate it into lab systems, analysis tools, and existing workflows.

Collaboration and Workflow Integration

• Individual users can select the Alchemite app most suited to their specific R&D challenge.
• R&D organisations can match the appropriate app to the right team member, ensuring role-appropriate access across the organisation.
• Projects and results can be shared across all users, creating an integrated, collaborative solution that spans teams and disciplines.

Alchemite™ for DOE is delivered as a web-based platform, making it accessible without complex installation or infrastructure requirements. It is designed to integrate into existing lab systems and analysis tools, particularly through the Architect tier, making it suitable for organisations looking to embed machine learning-driven experimental design into their broader R&D operations.