British engineering. Circular materials.
Engineering the systems to understand battery materials, shape their processing and return their value to supply.
The materials for our next generation of batteries are already in circulation.
Our ambition is to keep their value there. Phoenix Labs is engineering an approach to recovered battery materials that connects material understanding, processing and software.
Building that capability in Britain means working towards a domestic source of critical materials — and a more circular industrial future.
From battery-derived materials to the foundations of future supply.
Battery-derived materials vary from batch to batch. Our engineering brings material characterisation and mechanochemical processing into the same conversation.
Material perspective
NMC cell → material components
PV-001 is designed for inline batch characterisation: capturing a material fingerprint to help identify differences between feedstocks and inform processing decisions.
Connect what we know about a material with how we approach its processing.
PL-001 is designed to use mechanical forces to change the structure of battery-derived materials, helping make valuable metals more accessible for subsequent recovery.
Relate processing conditions to material behaviour and analytical results.
Better recovery starts with better decisions.
PhoenixOS is our in-house refinery intelligence and management system. It is designed to use machine learning to turn material and process data into decisions that improve metal recovery while reducing energy use, chemical consumption and unnecessary processing.
Intelligence in the process
Materials · Conditions · Results
Learn. Predict. Refine.
Recovery · Resources · Efficiency
Machine-learning models are trained to identify relationships between feedstock characteristics, processing conditions and recovery outcomes — building a more useful picture of what drives performance.
Predictive modelling explores how changes in process settings could affect recovery and resource use, helping identify promising conditions before physical trials.
The system is designed to use measured results to refine its models, flag unexpected behaviour and guide process adjustments, with operators retaining oversight.
Recover more value.
Use fewer resources.
Current model training uses sample data and simulation, with physical trials needed to validate performance.
Domestic refining is the focus. A circular materials industry is the ambition.
Our systems work sits within a wider direction: recovering value from battery-derived materials and connecting it to future manufacturing.
Get Involved
Whether you're a recycler, manufacturer, battery owner, investor or circular economy partner, Phoenix Labs would like to hear from you.
info@phoenixlabsuk.com