Accelerate & optimize
advanced materials
production.
Unlock innovation today by empowering your materials data with automated, AI-driven analysis.
Introducing the AtomCloud.
Generate first-of-their-kind datasets for materials science with AI.
AtomCloud transforms data from nano-instruments into actionable insights
to help you make better, faster decisions in R&D and manufacturing.
Collect Data
As-is from all your instruments: images, videos, and logs, etc. No setup changes needed.
Upload to AtomCloud
Web platform available anywhere, anytime. Broad file format support - no fussing with converting.
Apply Analyses
Automated AI-powered workflows analyze your data scalably. Use the state of the art in a single click.
View Insights
Interactive images and charts to understand your data better and iterate faster. Exports easily to share or store.
Accessible, automated,
state of the art analysis.
Unlock faster validation
and shorter cycle times.
RHEED -
Get Better Insights, Faster.
Detect important pattern changes automatically to quickly drill in on features of interest.
Quantify key properties of patterns to understand the underlying material changes rigorously.
Visualize quantified patterns through interactive images and charts, empowering operator intuition.
XPS -
Understanding with One Click.
Extract atomic concentrations from spectra in one click without needing to apply laborious peak fitting procedures.
Compare analyzed XPS spectra of multiple samples interactively to understand differences.
Reanalyze spectra data easily by selecting atomic elements to focus on.
Platform -
A Future-Ready Repository.
Contextualize bare instrument data with rich details like target materials, growth environments, and tags.
Structure materials data to build a repository of experimental data ready for future analyses and workflows.
Collaborate on raw and analyzed data across your organization by linking directly to interactive results and data export.
Case Studies
AtomCloud accelerates time-to-insight for complex data across broad material systems.
The AI-driven platform for the
future of materials R&D.
Build physics-rich datasets for bottom-up materials manufacturing.
Accelerate R&D and manufacturing progress
Transfer insights between characterization techniques using feature correlation. Automated workflows scale materials validation and experiment iteration.
Unlock more insights from the same data
Apply state of the art materials-specific analyses with one click to empower domain expertise.
Build an analytical reference library
Generate machine-readable, physics-rich datasets from actual materials characterization. Easily compare multiple characterization results to leverage historical findings.
Improve data integration and accessibility
Store all your materials data in a single, structured repository. Share rich analysis results with context.