Repeatable, sharable models.
Turn your experimental data into institutional knowledge. Move from one-off studies to validated, versioned simulation workflows your whole team can build on, grounded in the LRCS computational modeling and AI research program.
Great experiments shouldn't live in one person's notebook.
Lab-scale insight is hard to retain. Researchers leave, methodologies drift, and results from six months ago can't be reproduced, let alone applied to a new chemistry or a new line.
Aikemics wraps your experimental workflows in physics-informed simulation models that are versioned, documented and replayable. The knowledge stays in the institution.
From raw data to replayable knowledge.
Versioned workflows
Every experiment and simulation run is versioned. Roll back, branch and compare. Source control for your science.
Model calibration
Feed your existing measurements into physics-based models from our library. Calibration is quantified and traceable at every step.
Team-ready dashboards
Share validated workflows with colleagues. They don't need to understand the underlying model math to use them.
Faster iteration cycles
Run experiments in simulation before committing materials. Spend bench time only on the tests simulation can't answer.
What lab teams ask us.
Bring your experiment, we'll build the model.
Share a scoped challenge from your lab. We'll assess it and propose a calibration path on your data.