Physics-informed engineering intelligence.
Realise Labs develops software combining physics-based modelling, engineering knowledge and AI to help energy technology companies understand, optimise and industrialise complex electrochemical systems. The platform is in development.
What the software does.
Electrochemical system modelling
First-principles descriptions of transport, kinetics and thermal behaviour in real cell and stack geometries.
Electrolyser modelling
Cell, stack and system-level models for AEM, PEM and SOEC architectures.
Multiphysics simulation
Coupled electrochemical, fluid, thermal and mechanical behaviour under realistic operating conditions.
Performance prediction
Predict behaviour across operating windows before building expensive hardware.
Degradation analysis
Study degradation mechanisms and their impact on lifetime and reliability.
Design optimisation
Explore design spaces and operating strategies against performance, cost and lifetime trade-offs.
Engineering decision support
Turn complex technical questions into ranked, explainable engineering decisions.
Industrialisation
Carry model insight into process windows, tolerances and scale-up constraints.
AI grounded in engineering physics.
Simulation
Understand system behaviour before building expensive prototypes.
Optimisation
Explore designs, operating conditions and engineering trade-offs.
Scale-up
Identify potential problems when moving from laboratory systems to larger industrial systems.
Industrialisation
Support engineering decisions around performance, reliability, tolerances and system integration.
AI + Physics + Engineering + Electrochemical systems.
Realise Labs is not a generic AI chatbot — the engine is built around physical laws, electrochemical behaviour and industrial engineering constraints.
Product demonstration space — screenshots, video walkthrough or a live demo will be embedded here.
