Solutions
Built for the hardest data in science.
Each engagement pairs domain scientists with machine-learning engineers, so the models we build respect the physics, the biology and the instruments behind your data.
01
Advanced Physics Data Processing
From particle detectors and telescopes to synchrotron beamlines, we build pipelines that clean, reconstruct and interpret high-volume experimental data at scale.
- Event reconstruction, tracking and classification with deep learning
- Anomaly and rare-signal detection in noisy, high-rate streams
- Denoising and inverse problems for imaging and spectroscopy
- Uncertainty-aware inference that holds up to peer review
02
Simulation Solutions
We accelerate expensive simulations with physics-informed machine learning, so you can explore more of the design space with the same compute budget.
- Neural surrogates for CFD, FEM, molecular and plasma models
- Physics-informed networks and operator learning
- Calibration, parameter inference and design optimisation
- Deployment on your HPC cluster or in the cloud
03
Medical Data Analytics
We turn imaging, physiological signals and electronic health records into models clinicians and researchers can trust and act on.
- Medical image segmentation and quantitative biomarkers
- Time-series analysis for ECG, EEG and wearable sensors
- Cohort analytics and outcome prediction on clinical records
- Privacy-preserving workflows and audit-ready documentation