- Live
Energy & Earth resources
Oilfield data intelligence, critical-minerals mapping, and subsurface simulation for geothermal energy, carbon storage and oil and gas production. Also EnergyGPT, a language model fine-tuned on energy literature.
Applications
We work on physical AI: machine learning for systems governed by physical laws, where models have to agree with simulation and measured data. We have products in energy and Earth resources and in drug discovery. Materials and instruments, and security and defense, are research directions.
Oilfield data intelligence, critical-minerals mapping, and subsurface simulation for geothermal energy, carbon storage and oil and gas production. Also EnergyGPT, a language model fine-tuned on energy literature.
Cited evidence for selecting drug targets, supported by quantitative biology methods for dose–response analysis, pharmacokinetics and identifiability.
Frontier research
Active research directions without products yet.
Differentiable physical-systems models for the inverse design of engineered materials, and control software that lets scientific instruments choose their next measurement using a physics model.
State estimation, sensor fusion and multi-target tracking with calibrated uncertainty, decision analyses that can be versioned and re-run, and agents that require human approval for irreversible actions.