ATOMS
Nanotechnology
R&D and translation services for nanoscale materials and sensing — characterization workflows, lab automation, and the data infrastructure that makes results reusable.
The problem
Nanotech results often live in lab notebooks, spreadsheets, and one researcher's head. Reproducing a result a year later means rebuilding the experiment.
We build the digital substrate for nano: characterization pipelines, sensor data acquisition, and a knowledge base that compounds.
Workflow
01
Map the workflow
Where does the data come from, where does it die, and what decisions does it inform?
02
Instrument
Acquisition, automated metadata capture, calibration tracking — at the instrument, not after.
03
Pipeline & store
Reproducible processing, versioned datasets, queryable knowledge graph.
04
Decide
Dashboards, models, and alerts surfaced where the researcher actually works.
Benefits
Metadata at acquisition
Calibration, environment, operator, instrument config — captured automatically, not transcribed from memory.
Cross-instrument queryable
Datasets from SEM, AFM, Raman, and XRD living in one schema. New experiments stand on every prior one.
From lab to field
Sensor prototypes promoted to production-grade firmware with the same data model end to end.
Technologies
- Python
- Jupyter
- Pandas
- scikit-image
- MATLAB integration
- OPC-UA
- MQTT
- TimescaleDB
- Apache Arrow
- Materials Project APIs
Industries served
- Materials science
- Energy
- Environmental sensing
- Medical devices
Frequent questions
Do you fabricate?
We partner with foundries and university labs for fabrication. MIBTY's contribution is software, data, and characterization workflows.
Can you work with a small research group?
Yes. Most of our nano engagements start at the 1–3 researcher scale. The platform we build grows with the group.