AI for atomic-precision manufacturing
Intelligence for matter,
at its smallest scale.
We are building an AI model that connects observation, prediction and action at the atomic scale.
Our first product: an AI autopilot for scanning tunnelling microscopes (STMs) that automates tip conditioning and atom manipulation.
The model / 01
A continuous loop
between seeing and doing.
Atomic-precision manufacturing asks a connected set of questions. What is there now? What happens next? What action could bring the system closer to the intended structure?
A conceptual illustration of the model loop, not a representation of measured performance.
FIG. 02 / ILLUSTRATION, NOT A MICROSCOPE IMAGEThe approach / 02
Seeing is only
the beginning.
At the atomic scale, an image can reveal a structure. Manufacturing asks a harder question: which next action moves that structure toward a desired state?
Atomvec is building an AI model to connect what we observe with what we predict, then use those predictions to guide precise action.
Today, operators manually assess and repair STM tips, then guide individual atoms across a surface. Our first product is designed to automate that painstaking loop, from tip conditioning to atom placement.
Research foundation / 03
Built on proven research.
Independent academic teams have demonstrated machine-learning-assisted STM tip conditioning and reinforcement-learning-driven atom manipulation. These are published research results, not performance claims for Atomvec.
Atomvec’s goal is to turn the underlying closed-loop approach into a vendor-independent product for research labs. We are at an early stage and have not yet demonstrated those results with our own system.
Direction / 04
From lab automation to atomic manufacturing.
Our product starts with STM tip conditioning and atom placement. The stages beyond that are a roadmap, not shipped capabilities.
Automate assessment and repair of STM tips so operators spend less time restoring the instrument.
Plan individual moves, check the resulting surface and correct the next step.
Use precise placement to support the assembly of atomic-scale quantum structures.
Extend the observe–predict–act loop toward repeatable construction at the atomic scale.
Possibilities / 05
The possibilities begin
with quantum.
Our first focus is automation inside the STM lab. Quantum devices, energy and materials are the longer-term directions that make atomic precision worth pursuing.
Quantum systems
Atomic-precision devices where the position of every atom matters, starting with silicon qubits.
Energy
Design and test atomically precise catalysts for cheaper hydrogen and cleaner chemical processes.
Materials
Engineer material properties by controlling structure at the atomic scale.
Upcoming demo / 06
Watch the loop take shape.
Simulation demo
coming soon.
People / 07
The people behind Atomvec.
Nirlep Kathiriya
Full-stack software developer with experience in AI and security.
LinkedIn profileSTART A CONVERSATION
What could you build
with atomic precision?
We are looking for STM labs to help shape the first version of our autopilot. If you work on quantum hardware, research instrumentation or atomic-scale manufacturing, we would like to hear from you.