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Seven core technology areas underpin our work. Each one exists because a class of question cannot be answered properly without it.
A single-point thickness number hides the thing you usually need to know: how much the film varies. Mapping resolves thickness across the sample so edge effects, radial gradients, and local defects become visible rather than averaged away. Where a full map is more than the question needs, reflectometry gives a fast single-measurement thickness instead.
Ellipsometry does not measure thickness directly. It measures a polarization change that a model then interprets. For established materials the model is known. For novel compositions it has to be built, and built defensibly, or every downstream number inherits the error.
A model that fits beautifully but is physically implausible is a liability, not a result. We say so when that happens.
Production-relevant measurement means measuring at production scale. We handle full wafers with sampling plans designed around what you will actually decide from the data, not just the points that are convenient to reach.
Characterization campaigns produce spectra, maps, and image stacks faster than anyone can review them. We build the analysis layer that makes the volume tractable, including batch fitting, anomaly flagging, and automated classification, and hand it over as readable code.
A model is only as good as the measurement data behind it. We are explicit about when a dataset is too small to support a predictive model, rather than shipping something that looks impressive and generalizes poorly.
Transmission, reflection, absorption, Raman scattering, and photoluminescence each open a different window onto the same sample. Used together they separate effects that any one of them would conflate.
Optical methods infer structure from how light responds. X-ray and electron-based methods measure it directly: which phase is present, how well ordered it is, which elements are there, and in what chemical state. The two families answer different questions, and a disagreement between them is usually the most informative result you will get.
Sometimes the most valuable output is not a measurement at all. It is the conversation that establishes which measurement is worth doing. We work alongside your team on experimental strategy, interpretation, and the judgement calls in between.
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