We build physics-based artificial intelligence engines to model and optimise heavy industrial processes. Our goal is to reduce the environmental impact of heavy industry through intelligent use of data. At our core, we do R&D at the interface of physical modelling, artificial intelligence, and statistics: our core science team of world-leading researchers have decades of experience solving the hardest problems in the physical sciences. Calda AI draws on this unique talent to deploy breakthrough machine learning technology for process optimization, control, and decision making. We have world-leading expertise and technology in a number of key areas: ✷ Using AI to learn physical models from sparse, noisy data In many situations, you need a physics model to make predictions about your process, but building a physical model from scratch is unfeasible: the system may simply be too complex, or you may lack the data streams you need. At Calda we leverage AI to learn the physics of your processes from the data you have available, allowing you to make sound predictions even for the most complex systems. ✷ Massive speed-up of physical simulations with deep learning emulators Often you have simulations for making predictions about your process (eg., finite element or hydrodynamic simulations), but they are too slow to be useful for making decisions in real time. We leverage AI to make your simulations so fast that they can be used for real-time decision making and process optimization. ✷ Extracting tiny signals from hard-to-reach places Detecting problems early - when signals are tiny - means you can be proactive rather than reactive, and is key to extracting value. We are at the forefront of developing sophisticated techniques in data representation for extracting the tiniest signals from complex, noisy datasets. ✷ Optimal decision making in the face of complex uncertainties We have leading techniques for making optimal decisions when faced with complex uncertainties.
