Applied AI for Scientific Problems
We build AI systems for scientific analysis — and help organizations implement AI responsibly.
Our work sits at the intersection of artificial intelligence and scientific interpretation.
Our current focus is building AI-powered tools for X-ray photoelectron spectroscopy — especially systems that help move XPS analysis beyond manual curve fitting toward defensible chemical interpretation, uncertainty-aware reasoning, data-quality checks, and audit-ready outputs.
The goal is not to replace expert judgment. It is to make expert-level reasoning more consistent, transparent, and scalable: helping researchers, labs, vendors, and industrial users interpret complex spectra with clearer confidence, better documentation, and fewer hidden assumptions.
See Fyrium Labs for our most recent work on XPS analysis.
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