Blog
Notes from the loop
Ideas and research from DecaPlants on Physical AI, self-driving labs and building cleaner industrial processes, from the first experiment to the running plant.
Reducing Process Mass Intensity in API Manufacturing with AI
Solvents and water are most of an API's mass footprint. Benchmarks, seven proven levers and how AI-driven optimisation cuts PMI without trading yield or purity.
Farhan M.Founder and Co-CEORead article
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Early-Stage LCA: How to Assess Environmental Impact Before a Process Is Designed
How to run an LCA when a process only exists in the lab: prospective methods, upscaling lab data, stage-gate depth, and decisions that survive uncertainty.
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Eco-Design for Industrial Processes: Building Sustainability In From the Lab
Most of a process's environmental footprint is fixed before scale-up. A practical framework for building eco-design into every step of process development.
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Field notes on self-driving labs, scale-up and self-learning plants, from the DecaPlants team.