Intelligent
Atomic Scale
Engineering
Atomscale is building the future of atomic-scale engineering, applying AI to enable new material innovations.New: AI Copilots for Real-Time Synthesis Monitoring Intelligent
Atomic Scale
Engineering
Atomscale is building the future of atomic-scale engineering, applying AI to enable new material innovations.Driving progress
Atomically-engineered materials are the foundation of technologies that address today's greatest challenges.Limiting progress
Complex manual processes limit useful feedback during atomic-scale materials engineering, slowing material innovations.Quantum ComputingSilicon Photonics
Quantum ComputingSilicon Photonics
Manual Analysis Bottlenecks
Engineers are limited to manually-intensive methods of extracting useful feedback during materials engineering, pulling them "into-the-weeds" of data curation.This takes capacity away from higher-level material analysis and bottlenecks the speed & quality of engineering decisions.Manual Analysis Bottlenecks
Engineers are limited to manually-intensive methods of extracting useful feedback during materials engineering, pulling them "into-the-weeds" of data curation.This takes capacity away from higher-level material analysis and bottlenecks the speed & quality of engineering decisions.Information Scarcity
As a result, the majority of feedback derived from the material during engineering is either discarded or unanalyzed, creating a scarcity of actionable information.This limits engineers' ability to troubleshoot issues and the resolution to which they can control the engineering process, slowing down innovation.Information Scarcity
As a result, the majority of feedback derived from the material during engineering is either discarded or unanalyzed, creating a scarcity of actionable information.This limits engineers' ability to troubleshoot issues and the resolution to which they can control the engineering process, slowing down innovation.As a consequence
Translating material innovations from concept to product takes several decades — often not succeeding at all.
The Future | Seamless Engineering
We are creating the first agentic system for atomic-scale engineering to improve feedback by ~100x and enable transformative material innovations.AI for
Information Extraction
Physics-informed, automated AI workflows extract and analyze key physical signals from noisy raw feedback to create a signal-rich data repository.This automates manual data curation to improve the speed & quality of feedback, freeing engineers to focus on higher-level material analysis.
AI for
Engineering Decisions
Agent-driven analysis empowers the entire engineering lifecycle — from discovering patterns in historical datasets, to providing real-time insights during processing, to designing optimal future experiments.This brings better insights to every engineering decision and unlocks new opportunities for autonomous engineering control and scaling engineering knowledge.
With intelligent agents
Better, faster feedback throughout the engineering lifecycle unlocks new material innovations.
Our mission
Accelerate technological progress by enabling new material innovations with seamless feedback in atomic-scale engineering.We believe dramatically better atomic-scale engineering is possible and will enable new material innovations that drive the frontier of the 21st century.
Chris PriceCofounder & CEOAI/ML for Materials Science, UPenn
This is a paradigm shift in how atomic-scale materials are created — a seamless feedback loop between process and outcome that will enable transformative progress.
Jason MunroCofounder & CTOStaff Scientist, Berkeley Lab
Our Partners
Let's talk about the future of atomic-scale engineering.
Our mission
Accelerate technological progress by enabling new material innovations with seamless feedback in atomic-scale engineering.We believe dramatically better atomic-scale engineering is possible and will enable new material innovations that drive the frontier of the 21st century.
Chris PriceCofounder & CEOAI/ML for Materials Science, UPenn
This is a paradigm shift in how atomic-scale materials are created — a seamless feedback loop between process and outcome that will enable transformative progress.
Jason MunroCofounder & CTOStaff Scientist, Berkeley Lab
Our Partners