The Mimic Neuro Platform
Mechanistic models that tell preclinical teams what to advance, and what to drop.
A Better Standard
Neurobiology this complexdeserves precisionnot guesswork.
Rooted in Real Biology
Every model starts from measured data: electrophysiology, morphology, expression, and patient variants.
Model the Channel
We fit channel models that reproduce real gating kinetics, so a mutation or a compound changes the model the way it changes the biology.
Build the Digital Neuron
Channel models drop into biophysically detailed neurons that resolve dendrites, soma, and axon as one system, showing exactly where dysfunction starts and where a drug acts.
Test in Circuit Context
We wire digital neurons into networks to establish whether a cellular signal still drives dysfunction once synaptic input and circuit dynamics are in play.
Screen, Rank, Decide
We simulate compounds and perturbations across every level, then rank them by how well they restore healthy physiology, so programs have a decision before the wet-lab spend begins.
Why This Matters
A variant or an assay tells you that something changed. Mimic tells you where it changed, whether it still matters at circuit scale, and what will reverse it.
Biology-First Foundation
Every program is anchored to experimental constraints. If a model cannot reproduce the measured biology, it does not ship.
Explainable by Construction
Every prediction traces back to a physical mechanism you can inspect: a conductance, a compartment, a gate. You can always answer why.
High-Fidelity at Scale
High-performance compute runs broad sweeps across variants, doses, and parameter regimes, at full biophysical detail every time.
Mechanism-Led Prioritization
You get a ranked list of interventions and the physiological reason each one works, which is enough to defend the next decision.
Developmentally Relevant
Disease biology moves with time. We model mature, developing, and iPSC-derived neurons, so predictions match the stage where the disease actually begins.
Built to Advance
Every new dataset makes the models sharper. The platform is designed to absorb them without a rebuild.
Platform Vision
From ion channel to circuit.One continuous model.
Neuroscience problems don't live at a single scale. Our platform doesn't either. A question can start at a gene, a gate, a dendrite, or a circuit, and we follow it through all of them without switching tools or losing the biology underneath.
Across channels
The same workflow extends to new channel families and new disease areas as the data arrives.
Across model systems
Mature, developing, and stem-cell-derived neurons all run in a single framework.
Across scales
From gating kinetics to circuit behavior, one continuous model carries the mechanism all the way up.
Partner With Us
Bring us the question.We'll tell you if simulation can answer it.
If you are working on a channelopathy, chasing an unclear mechanism of action, or trying to de-risk a candidate before the wet-lab spend, that is the kind of problem this platform was built for.