Accelerate & optimize
advanced materials

production.

Unlock innovation today by empowering your materials data with automated, AI-driven analysis.

Use it yourself within 24 hours.

Trusted by scientists
and engineers at

University of Notre Dame logoNortheastern University logoScienta Omicron logo
AtomCloud platform dashboard screenshot

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.

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Collect Data

As-is from all your instruments: images, videos, and logs, etc. No setup changes needed.

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Upload to AtomCloud

Web platform available anywhere, anytime. Broad file format support - no fussing with converting.

AtomCloud analyses

Apply Analyses

Automated AI-powered workflows analyze your data scalably. Use the state of the art in a single click.

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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.

AtomCloud's analysis tools efficiently surface key insights from instrument data without engineering overhead to help you scale your R&D and manufacturing.

RHEED
Get Better Insights, Faster.

AtomCloud RHEED patterns quantified

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.

AtomCloud XPS analysis

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.

AtomCloud Data Catalogue

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.

CoSi material system RHEED pattern image

Detecting Kinetic Transitions

A video of a CoSi material system with complex patterns, low-contrast, and long duration is difficult to analyze by eye.AtomCloud's RHEED analysis workflow was able to automatically detect a subtle but validated pattern change
CoSi material system RHEED pattern image

Analysis Technology

Analyzing RHEED patterns by eye is time-consuming and prone to errors.AtomCloud uses unsupervised learning algorithms and materials science-specifc clustering techniques to automatically analyze RHEED patterns.
CoSi material system RHEED pattern image

Analyzing Rotating Growths

RHEED videos of rotating growths are difficult to analyze.AtomCloud's RHEED analysis workflow accounts for rotation, unlocking rotating RHEED videos as a source of insight.

The AI-driven platform for the
future of materials R&D.

Build physics-rich datasets for bottom-up materials manufacturing.

AtomCloud provides simple but powerful tools to centralize and understand your instrument data to deliver faster, better insights.

Accelerate R&D and manufacturing progress

Transfer insights between characterization techniques using feature correlation. Automated workflows scale materials validation and experiment iteration.

Accelerate R&D and manufacturing

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.

Accelerate R&D and manufacturing

Improve data integration and accessibility

Store all your materials data in a single, structured repository. Share rich analysis results with context.

Accelerate R&D and manufacturing

Accelerate & optimize your advanced materials production today.

Use it yourself within 24 hours.