Tip conditioning
Machine learning can help assess and condition STM probes.
Read the paper in Communications PhysicsAI for atomic-precision
manufacturing.
We are building an AI autopilot for scanning tunnelling microscopes, starting with tip conditioning and atom placement.
Partner with us
Our first product is in development.
An autopilot for your STM.
Conceptual illustration, not a microscope image.
Conceptual model loop, not measured performance. Select a stage to explore.
Independent research.
Published work shows what machine learning can do at the atomic scale.
Atom manipulation
Reinforcement learning can guide individual atom moves.
Read the paper in Nature CommunicationsIndependent academic results, not Atomvec performance. Our system is in development. Images are conceptual illustrations.
What comes next.
We start with STM automation. Quantum devices and repeatable atomic manufacturing are longer-term goals.
Tip conditioning
First productAtom placement
First productQuantum devices
Long-term directionAtomic manufacturing
Long-term direction
See the demo.
Demo coming soon.
The team.
Renato Santos
Co-founderBackground in AI, automation and security engineering.
LinkedIn profileNirlep Kathiriya
Co-founderFull-stack software developer with experience in AI and security.
LinkedIn profileBuild with us.
We are looking for STM labs and partners to shape our first product.