Raynetics, co-founded by former CWI postdoctoral researcher Ajinkya Kadu, develops artificial-intelligence-based software that turns raw microscopy data into high-fidelity three-dimensional (3D) reconstructions. This enables atomic- to micro-scale characterization of materials in a relatively short time. The software can ingest datasets from scanning transmission electron microscopy (STEM), focused ion-beam scanning electron microscopy (FIB-SEM) and energy-dispersive X-ray spectroscopy (EDXS) elemental maps. Raynetics uses AI methods to generate volumetric models based on these datasets, to help analyze structure and composition of materials.
Identifying defects
Their technology is particularly valuable in many critical fields. In semiconductor manufacturing, engineers may be able to identify defects earlier and improve design processes. In advanced materials research, scientists can correlate internal architecture with mechanical, thermal and electrical performance, supporting the development of new materials with tailored properties. Manufacturers in additive manufacturing, energy storage and aerospace likewise can validate complex geometries and certify performance-critical parts.
Looking ahead, Raynetics is building a cloud-native platform where any user, anywhere, can drop in a dataset and access high-quality 3D visualization and analytical tools without needing in-house computational or imaging expertise.
